Biomedical engineering towards the year 2000 and beyond: Hong Kong SAR, China, October 29 - November 1, 1998 2 Medical imaging and image processing, developing areas
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1998
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| Schriftenreihe: | Proceedings of the annual international conference of the IEEE Engineering in Medicine and Biology Society
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| Beschreibung: | XVIII S., S. 532 - 1089, S. A-I - A-XI Ill., graph. Darst. |
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| 245 | 1 | 0 | |a Biomedical engineering towards the year 2000 and beyond |b Hong Kong SAR, China, October 29 - November 1, 1998 |n 2 |p Medical imaging and image processing, developing areas |c ed. by H. K. Chang ... |
| 264 | 1 | |a Piscataway, NJ |b IEEE Operations Center |c 1998 | |
| 300 | |a XVIII S., S. 532 - 1089, S. A-I - A-XI |b Ill., graph. Darst. | ||
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| 490 | 1 | |a Proceedings of the annual international conference of the IEEE Engineering in Medicine and Biology Society |v 20,2 | |
| 490 | 0 | |a Proceedings of the ... annual international conference of the IEEE Engineering in Medicine and Biology Society |v 20 | |
| 700 | 1 | |a Chang, H. K. |4 edt | |
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| adam_text | Proceedings of the 20th Annual International Conference of the IEEE-EMBS, 1998
CONTENTS BY PARTS
Pages
PART 1 Cardiovascular System
MS1.1 Modeling and Imaging of Cardiac Bioelectrical Activity 1-12
551 Bioacoustics Revisited 13-24
Theme 1 Cardiovascular System 25-531
PART 2 Imaging and Image Processing, Developing Areas
Theme 2 Imaging and Image Processing 532-1067
Theme 12 Developing Areas 1068-1089
PART 3 Biomedical Informatics, Biosignal Processing
MS13 Virtual Auditory Displays 1090-1112
MS2 Biomedical Applications of Computational Intelligence 1113-1129
MS5 New Advances in Time-Frequency and Wavelets Methods 1130-1144
552 Hidden Markov Models in Biomedical Signal Processing 1145-1150
Theme 3 Biomedical Informatics 1151-1328
Theme 5 Biosignal Processing 1329-1680
PART 4 Instrumentation and Sensors, Brain and Neural Engineering
MS1.2 Modeling and Imaging of Brain Electrical Activity 1681-1691
MS12 Advanced Micro Instrumentation for Medicine and Biology 1692-1702
SS4 Application of Ultrashot Laser Pulses in Medicine and Biology 1703-1718
Theme 6 Instrumentation and Sensors 1719-1991
Theme 11 Brain and Neural Engineering 1992-2242
PART 5 Neuro-Muscular Systems Biomechanics
MS6 New Approaches in the Development of Motor Neuroprostheses 2243-2250
MS8.1 Innovative Techniques in Rehabilitation Engineering Research Applications I 2251-2272
MS8.2 Innovative Techniques in Rehabilitation Engineering Research Applications II 2273-2296
SS7 New Devices for Improved Functional Electrical Stimulation Systems 2297-2312
Theme 7 Neuro-Muscular Systems Biomechanics 2313-2778
PART 6 Cellular and Tissue Engineering, Physiological Systems: Modeling and Measurements,
Electromagnetic Interactions Issues, Clinical Engineering and Education
MS11 Biosensors and Biomedical Actuators 2779-2790
MS7 Biological Effects and Medical Applications of Electromagnetic Energy 2791-2801
MS9 Gastrointestinal Myoelectrical Activity and Pacing 2802-2811
Theme 4 Cellular and Tissue Engineering 2812-2990
Theme 8 Physiological Systems: Modeling and Measurements 2991-3241
Theme 9 Electromagnetic Interactions Issues 3242-3326
Theme 10 Clinical Engineering and Education 3327-3384
ix
Proceedings of the 20th Annual International Conference of the IEEE-EMBS, 1998
OVERVIEW OF TECHNICAL PROGRAM
Part Pages
MS1.1 Modeling and Imaging of Cardiac Electrical Activity I 1-12
MS1.2 Modeling and Imaging of Brain Electrical Activity IV 1681-1691
MS2 Biomedical Applications of Computational Intelligence Ill 1113-1129
MS3 Collaborative Learning Approaches to Biomedical Engineering Education in
Computer-Aided Learning Environments of the 21st Century *
MS4 Neural Engineering - an Emerging Discipline *
MS5 New Advances In Time-Frequency And Wavelets Methods Ill 1130-1144
MS6 New Approaches in the Development of Motor Neuroprostheses V 2243-2250
MS7 Biological Effects and Medical Applications of Electromagnetic Energy VI 2791 -2801
MS8.1 Innovative Techniques in Rehabilitation Engineering Research Applications I V 2251-2272
MS8.2 Innovative Techniques in Rehabilitation Engineering Research Applications II V 2273-2296
MS9 Gastrointestinal Myoelectrical Activity and Pacing VI 2802-2811
MS10 Cardiac Rhythms: from Single Beat to Chaos *
MS11 Biosensors and Biomedical Actuators VI 2779-2790
MS12 Advanced Micro Instrumentation for Medicine and Biology IV 1692-1702
MS13 Virtual Auditory Displays Ill 1090-1112
551 Bioacoustics Revisited I 13-24
552 Hidden Markov Models in Biomedical Signal Processing Ill 1145-1150
553 Articicial Arm and Micro-Surgical Robot Control *
554 Application of Ultrashot Laser Pulses in Medicine and Biology IV 1703-1718
555 Medical Ultrasonics *
556 Physiological Modeling and Identification I (Session 8.4.1) IV 3032-3055
557 New Devices for Improved Functional Electrical Stimulation Systems V 2297-2312
558 Chaos and Fractals I (Session 5.5.1) Ill 1553-1575
559 Fuzzy Logic and Hybrid Systems I (Session 5.2.1) Ill 1352-1374
Theme 1 Cardiovascular System
Track 1.1 Cardiac Electrical Activity I 25-97
Track 1.2 ECG Signal Analysis I 98-244
Track 1.3 Electrocardiotherapy I 245-270
Track 1.4 Heart Rate Variability I 271-366
Track 1.5 Cardiac Hemodynamics I 367-416
Track 1.6 Cardiac Mechanics **
Track 1.7 Cardiac Instrumentation I 417-467
Track 1.8 Cardiovascular Imaging I 468-519
Track 1.9 Other Cardiac Topics I 520-531
Theme 2 Imaging and Image Processing
Track 2.1 2D/3D Image Display Visualization II 532-597
Track 2.2 CT and MR Imaging II 598-706
Track 2.3 Radiographic Imaging II 707-751
Track 2.4 Nuclear Medicine Imaging II 752-774
Track 2.5 Ultrasound Imaging and Therapy II 775-875
Track 2.6 Optical/Infra-red Imaging II 876-1005
Track 2.7 Mammography II 1006-1027
Track 2.8 Impedance, Other Imaging Modalities II 1028-1067
Theme 3 Biomedical Informatics
Track 3.1 Telecommunication for Health Care Delivery Ill 1151-1173
Track 3.2 Information Infrastructure in Health Care Ill 1174-1193
Track 3.3 High-Performance Biomedical Computing Ill 1194-1241
Track 3.4 Virtual Reality in Medicine and Surgery Ill 1242-1262
Track 3.5 Telemedicine and Teleradiology Ill 1263-1328
* No paper
** Merged with other tracks
x
Proceedings of the 20th Annual International Conference of the IEEE-EMBS, 1998
Part Pages
Theme 4 Cellular and Tissue Engineering
Track 4.1 Biomembranes VI 2812-2857
Track 4.2 Cell-based Biosensors VI 2858-2878
Track 4.3 Artificial Organs **
Track 4.4 Biomaterials VI 2879-2934
Track 4.5 Tissue Engineering VI 2935-2990
Theme 5 Biosignal Processing
Track 5.1 Artificial Neural Networks Ill 1329-1351
Track 5.2 Fuzzy Logic Hybrid Intelligent Systems HI 1352-1441
Track 5.3 Signal Visualization **
Track 5.4 Wavelets / Time-Frequency Analysis Ill 1442-1552
Track 5.5 Chaos and Fractals Ill 1553-1597
Track 5.6 High-order Statistics Ill 1598-1660
Track 5.7 Other Signal Analysis Techniques Ill 1661-1680
Theme 6 Instrumentation and Sensors
Track 6.1 Instrumentation IV 1719-1821
Track 6.2 Micro-Machined Sensors IV 1822-1844
Track 6.3 Lasers and Electro-optics IV 1845-1905
Track 6.4 Molecular Electronics **
Track 6.5 Data Acquisition Measurement Systems IV 1906-1969
Track 6.6 Geronetechnology IV 1970-1991
Theme 7 Neuro-Muscular Systems Biomechanics
Track 7.1 Posture, Gait and Locomotion V 2313-2429
Track 7.2 Ergonomics Human Performance Analysis V 2430-2459
Track 7.3 Orthopaedic Biomechanics V 2460-2523
Track 7.4 FES/Mobility Aids V 2524-2615
Track 7.5 Robotics Micro-Mechanical Devices **
Track 7.6 EMG/VMG Signal Analysis V 2616-2673
Track 7.7 Rehabilitation Engineering V 2674-2759
Track 7.8 Sport Medicine V 2760-2778
Theme 8 Physiological Systems: Modeling and Measurements
Track 8.1 Biocontrol **
Track 8.2 Bioelectric and Biophysical Phenomena VI 2991-3011
Track 8.3 Nonlinear Bio-dynamics VI 3012-3031
Track 8.4 Physiological Modeling Identification VI 3032-3125
Track 8.5 Speech, Hearing and Vision VI 3126-3194
Track 8.6 Respiratory System VI 3195-3226
Track 8.7 EGG Analysis and Modeling VI 3227-3241
Theme 9 Electromagnetic Interactions Issues
Track 9.1 Bioeffects of RF/Microwaves VI 3242-3264
Track 9.2 Bioeffects of Power Line EMF VI 3265-3287
Track 9.3 MRI Safety Issues VI 3288-3302
Track 9.4 Electromagnetic Absorption Modeling **
Track 9.5 Electromagnetic Healthcare Devices **
Track 9.6 EM Compatibility of Medical Devices VI 3303-3326
Theme 10 Clinical Engineering and Education
Track 10.1 Clinical Engineering **
Track 10.2 Technology Assessment VI 3327-3346
Track 10.3 Critical Care / Intelligent Monitoring **
Track 10.4 Education and Ethics VI 3347-3363
Track 10.5 Economics, Liability, Responsibility **
Track 10.6 Standardization and Safety VI 3364-3384
Theme 11 Brain and Neural Engineering
Track 11.1 Neural Information Processing and EEG Signal Processing IV 1992-2107
Track 11.2 Brain Electricity and Neuroimaging IV 2108-2196
Track 11.3 Magnetic Sensing MEG Mapping IV 2197-2220
Track 11.4 Instrumentation In Neurology IV 2221-2242
Theme 12 Developing Areas
Track 12.1 Biotechnology II 1068-1082
Track 12.2 Engineering in Alternative Medicine II 1083-1089
* No paper
** Merged with other tracks
xi
Part II: Table of Contents Proceedings of the 20th Annual International Conference of the IEEE-EMBS,1998
THEME 2: IMAGING AND IMAGE PROCESSING
2.1.1 2D/3D Image Display and Visualization 2.1.1-1 Interactive and Intuitive Visualization of Small and Complex Vascular Structrues in MR and CT 532
Hastreiter P, Tomandl B, Eberhardt K, Ertl T, University of Erlangen-Nurenberg, Germany
2.1.1-2 Orthodontics Measurements Using Computer Vision 536
Yamany SM, Farag AA, Mohamed NA, University of Louisville, USA
2.1.1-3 Sectional Contour Interpolation Using Fourier Descriptor 540
Wang PC, Lin KP, Chen TS, Hung PT, Chung-Yuan University, Taiwan, China
2.1.1-4 Development of A 3D Display System for Biplane Cerebral Angiography,Using A Personal Computer ( PC ) 544
System
Ooe Y, Ishihara K, Otsuka H, Yamada K, Inoue M, Osaka National Hospital, Japan
2.1.1-5 Ray Casting in the BCC Grid Applied to 3D Medical Image Visualization 548
Ibanez L, Hamitouche C, Roux C, Dept. HI, Enst-Bretagne, France
2.1.1-6 Human Visual Accommodation and Vergence Eye Movement While Viewing Stereoscopic Display and 552
Actual Target
Okuyama F, Suzuka University of Medical Science, Japan
2.1.2 Visualization of Multi-modality Images 2.1.2-1 Multimodality Brain Atlas Based on the Visible Human Project Dataset 556
Jia CG, Tan O, Duan HL, Lu WX, Zhejiang University, China
2.1.2-2 Fast Automated Segmentation and Visualisation Methods for MR Images of the Knee Joint in Arthritis 559
Kitney RI, Cashman PMM, Carter ME, Imperial College, UK
2.1.2-3 A System for Human Jaw Modeling Using Intra-Oral Images 563
Yamany S, Farag Aly, University of Lousiville, USA
2.1.2-4 Automatic Retinal Registration Using Global Optimization Techniques 567
Mouravliansky N, Matsopoulos GK, Delibasis K, Nikita KS, National Technical University of Athens, Greece
2.1.2-5 Hardcopy Printing of Medical Images Based on Different Methods of Halftoning 571
Cao XH, Jiang DZ, Zheng CX, Xi an Jiatong University, China
2.1.2-6 Altas System of the Living Human Body Constructed with 3D and 4D Data Sets 575
Hattori A, Suzuki N, Takatsu A, Oda S, Yanai T, Urano Y, Tominaga H, Inst. for High Dime. Med. Ima., Jikei Uni., Japan
2.1.3 Image Analysis and Display
2.1.3-1 Surgical Simulation System Using Inner 3D Structure Display Method 578
Ishii S, Japan
2.1.3-2 Imaging Ellipsometry for the Visualization of Bio-Molecular Layers 581
Jin G, Zhao ZY.Wang ZH, Meng YH, Inst. of Mechanics, Chinese Academy of Sci., China
2.1.3-3 Improvement of Morphology-Based Interpolation 585
Migeon B, Charreyron R, Deforge P, Marche P, Laborataire Vision of Robotique, France
2.1.3-4 A Contour Association Method for the 3D Reconstruction of Long Bones Obtained with the URTURIP 588
Technique
Migeon B, Deforge P, Marche P, Laboratoire Vision of Robotique, France
2.1.3-5 Detection of Somatropin and Corticosterone with Imaging Ellipsometry 590
Zhao ZY, Jin G, Wang ZH, Shandong Academy of Medical Sciences, China
2.1.3-6 Reconstruction of Surfaces From Contour Data Based on Recursive Medial Axis of Morphology-Difference 594
Image and Marching Contour Algorithm
Zheng GY, Li SX, Yan JD, The First Military Medical University, China
2.2.1 Segmentation of CT/MR Images 2.2.1-1 Refinement of Left Ventricle Segmentation in MRI Based on Simulated Annealing 598
Garrido GEJ, Furuie SS, Orgambide ACF, Incor-Sao Paulo Heart Inst, Brazil
2.2.1-2 Semi-Automated Segmentation of Dual Echo MR Images 602
Petropoulos BEH.Sibbitt WL,Brooks WM, CNID, University of New Mexico, USA
2.2.1-3 Three-Dimensional Segmentation of CT Images Using Neural Network 605
Bao XD , Xiao SJ, Xu ZQ, REC, Hong Kong Polytechnic University, Hong Kong SAR
2.2.1-4 An Attractable Snake Model for Contour Extraction in MRI Images 609
Ji L, Yan H, The University of Sydney, Australia
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Part II: Table of Contents Proceedings of the 20th Annual International Conference of the IEEE-EMBS,1998
2.2.1-5 Phantom Based Segmentation Assessment for MRI Images 613
Moretti B, Ruan S, Fadili MJ, Bloyet D, Mazoyer B, Greyc-Ismra Upresa 6072, France
2.2.1-6 Unsupervised Statistical Adaptive Segmentation of Brain MR Images Using the MDL Principle 617
Kim TW, Paik CH, Samsung Biomedical Research Institute, South Korea
2.2.2 Tissue Analysis Using CT/MRI 2.2.2-1 Symbolic Dynamics and Measures of Complexity to Quantify Cancellous Bone Structure 621
Saparin PI, Gowin W, Kurths J, Felsenberg D, University of Potsdam, Germany
2.2.2-2 Brain Tissue Classfication in MR Images Based on A 3D MRF Model 625
Ruan S, Jaggi C, Bloyet D, Mazoyer B, Greyc-Ismra Upresa 6072, France
2.2.2-3 Correlation of Bone Mineral Density Measured by Peripheral Quantitative Computed Tomography (PQCT) 629
and Dual X-Ray Absorptiometry (DEXA)
Au SK, Choy WY, Chan KM, Leung PC, Hung WY, Qin L, The Chinese University of Hong Kong, Hong Kong SAR
2.2.2-4 Evaluation of A Trabecular Structure Using A Multiresolution Analysis 632
Matani A, Okamoto T, Chihara K, The University of Tokyo, Japan
2.2.2-5 Tissue Classification of Multi-Spectral MR Images of Brain 634
Luo SQ, Li X, Li KC, Liu SL, Capital University of Medical Sciences, China
2.2.2-6 Multi-Slice Helical CT: Principles, Imaging Characteristics, and Performance 637
Hu H, He HD, Fox S, Ackelsberg S, Strong G, Seidenschnur G, General Electric Company, USA
2.2.3 Motion Artifacts in MRI ~ ~ ~ 2.2.3-1 Suppression of Rotational Motion Artifacts in MRI Using A Fuzzy Data Model and POCS with Soft 640
Constraints
Weerasinghe C, Yan H, University of Sydney, Australia
2.2.3-2 Active Contours: An Overview with Applications to Motion Artifact Cancellation in MRI 644
Guidry DL, Farag AA, University of Louisville, USA
2.2.3-3 Reduction of Rigid-Motion Artifacts in Interleaved Projection Reconstruction Magnetic Resonance Imaging 648
Van de Walle R, Lemahieu I, Raskin G, Lateur G, University of Ghent, Belgium
2.2.3-4 Signal Reconstruction From MR Truncated Data Using Singularity Spectrum Analysis 652
Luo JH, Zhuang TG, Shanghai Jiatong University, China
2.2.4 CT Techniques 2.2.4-2 A Sinogram Restoration Technique for the Hollow Projection Problem in Computer Tomography 656
Liu ZY, Yau SF, The Hong Kong Univ. of Sci. Tech., Hong Kong SAR
2.2.4-3 A Reconstruction Algorithm for Reverse Geometry Based Volume CT 660
Lu DH, Chen B, Zhuang TG, Shanghai Jiaotong Unviersity, China
2.2.5 Image Registration 2.2.5-1 3D Elastic Multimodality Image Registration Through A Genetic Algorithm 663
Jean-Michel R, Jean-Jose J, Roux C, Department ITI, Latim, France
2.2.5-2 Generalized Clustering-Based Image Registration for Multi-Modality Images 667
Tsao J, Lauterbur P, University of Illinois at Urbana Champaign , USA
2.2.5-3 Multi-Resolution Elastic Registration of CT and MR Brain Images 671
Zheng GY, Li SX, The First Medical University, China
2.2.5-4 Brain Structures Deformation to Obtain Anatomical Averages 675
Castellanos P, Del Angel P, Medina V, Charleston S, Ondarza R, UAM, Mexico
2.2.5-5 Automated Registration of CT and MR Brain Images Using 3-D Edge Detection 679
Hsu LY, Loew MH, George Washington University, USA
2.2.5-6 Frameless Stereotactic Localization and Multimodal Image Registration Using DSA/CT/MRI 683
Fei BW, Zhuang TG, Hu J, Zhou FM, Shanghai Jiao Tong University, China
2.2.6 MR Imaging Image Processing 2.2.6-1 Boundary Finding with New Balloon Models 686
Wang HY, Ghosh BK, Washington University, USA
2.2.6-2 A Wrap-Around , High Strength Gradient Set for Orthopaedic MRI 690
Crazier S, Roffmann W, Luescher K, Doddrell DM, Queensland University, Australia
2.2.6-3 Mixture Modeling Applied to the Partial Volume Effect in MRI Data 693
Jaggi C, Ruan S, Bloyet D, Greyc-Ismra, Upresa 6072, France
xiii
Part II: Table of Contents Proceedings of the 20th Annual International Conference of the IEEE-EMBS,1998
2.2.6-4 Unsupervised Fuzzy Clustering Analysis of fMRI Series 696
Fadili MJ, Ruan S, Bloyet D, Mazoyer B, Greyc-Ismra Upresa 6072, France
2.2.6-5 Automatic Segmentation and Classification of Human Brain Images Based on TT Atlas 700
Tan O, Jia CG, Duan HL, Lu WX, Zhejiang University, China
2.2.6-6 Watermarketing Medical Images with Patient Information 703
Anand D, Niranjan UC, Manipal Institute of Technology, India
2.3.1 Radiographic Imaging Image Processing 2.3.1-1 A Robust Contour Preserving Image Reconstruction Algorithm for A New Quantum X-Ray Radiology 707
System
Kam L, Cudel C, Fessler P, Hilt B, Vapillon A, DGA/DCE/CTA/GIP, France
2.3.1-2 Design, Implementation and Bench Evaluation of A System for Automatic Synchornization of Chest X-Ray 711
Radiography with Peak Lung Inflation
Lampotang S, Cheung-Seekit C, Langevin P, University of Florida, USA
2.3.1-3 Band-Suppressed Restoration of Blurred X-Ray Images 715
Hori J, Saitoh Y, Kiryu T, Okamoto K and Sakai K, Niigata University, Japan
2.3.1-4 Automatic Detection of Foreign Objects in Computed Radiography 719
Xuan JH, Adali T, Wang Y, Catholic University of America, USA
2.3.1-5 A Knowledge-Based Automatic Cephalometric Analysis Method 723
Ren JC, Liu D, Feng DG, Shao JL, Zhao RC, Liao Y, Lin Z, Northwestern Polytechnical Univ., China
2.3.1-6 Edge Detection Algorithms Applied to Quantitative Analysis of X-Ray Image of Osteoma 728
Wu ZX, Chen SQ, Cheng JZ, Xi an Jiaotong University, China
2.3.1-7 Analysis on Testing of Noise in Radiography Resulted From Different Screen-Film System 730
Feng SL, Zhang ZG, Bai J, Tsinghua University, China
2.3.1-8 Monte Carlo Generated Mammograms 733
Tzanakos G, Spyrou G, Bakas A, Panayiotakis G, University of Athens, Greece
2.3.1-9 Development of Mechanical Models of Breast and Prostate with Palpable Nodules 736
Sarvazyan T, Stolarsky V, Fishman V, Sarvazyan A, Artann Laboratories, USA
2.3.1-10 An Improved Method of Region Grouping for Microcalcification Detection in Digital Mammograms 740
Mao F, Zhang Y, Song DS, Qian W, Clarke LP, University of South Florida, USA
2.3.1-11 Eye Searching Technique for Video-Based Eye Gaze Detection 744
Marui T, Ebisawa Y, Shizuoka University, Japan
2.3.1-12 Automated Thesholding for Real-Time Image Processing in Video-Based Eye-Gaze Detection 748
Tokunou K, Ebisawa Y, Shizuoka University, Japan
2.4.1 Emission Tomography Imaging 2.4.1-1 Monte Carlo Simulation of A YAP:Ce Block Detector for High Resolution Position Emission Tomography 752
Pavlopoulos SA, Thireou T, National Technical University of Athens, Greece
2.4.1-2 A Simulation Study of the Performance Characteristics of A YAP:Ce Detector for Positron Emission 755
Tomography
Tzanakos G, Thireou T, University of Athens, Greece
2.4.1-3 Multiresolution Expectation Maximization Reconstruction Algorithm for Positron Emission Tomography 759
Using Wavelet Processing
Raheja A, Dhawan AP, University of Toleo, USA
2.4.1-4 Compartmental Modeling in Dynamic SPET Using Projection Data 763
Karjalainen PA, Vauhkonen M, Kaipio JP, Univ. of Kuopio, Finland
2.4.1-5 A Fast Algorithm for Estimating FDG Model Parameters in Dynamic PET with An Optimised Image 767
Sampling Schedule and Corrections for Cerebral Blood Volume and Partial Volume
Cai WD, Feng DG, Fulton R, Hong Kong Polytechnic University, Hong Kong SAR
2.4.1-6 Statistical Parametric Analysis of Activation Foci Detection in Brain SPECT Imaging 771
Lahorte P, Vandenberghe S, D Asseler Y, Koole M, Audenaert K, Dierckx R, Lemanhieu I, University Hospital of Gent, Belgium
2.5.1 Ultrasound Imaging Instrumentation
2.5.1-1 Acoustic Parameter Estimation Based on Attenuation and Dispersion Measurements 775
He P, Wright State University, USA
2.5.1-2 Micromachined Capacitive Ultrasonic Immersion Transducer for Medical Imaging 779
Jin XC, Kuri-Yakub BT, Degertekin FL, Ladabaum I, Calmes S, Stanford University, USA
2.5.1-3 3D Echocardiography Using A 3D Positioner 783
Oshiro O, Nambu M, Chihara K, Nara Institute of Science and Technology, Japan
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Part II: Table of Contents Proceedings of the 20th Annual International Conference of the IEEE-EMBS,1998
2.5.1-4 Ultrasonic Tissue Characterization 30 MHz to 70MHz on A Fatty Hen Liver 785
Yoshihara S, Kubota A, Nishimura T, Hatori M, Saito M, The Oita-ken Kyoiku Center, Japan
2.5.1-5 New Reconfigurable Ultrasonic Enuresis Monitoring System 789
Beauchamp-Parent A, Sawan M, Ecole Polytechnique De Montreal, Canada
2.5.1-6 Influence of System Setting on the Myocardial Integrated Backscatter Measurement 793
Li X, Bai J, Hu GS, Cheng KZ, Tsinghua University, China
2.5.2 Ultrasound Image Processing 2.5.2-1 Intravascular Ultrasound Speckle Statistics 796
Guo DB, Brown University, USA
2.5.2-2 A 3D Colour Doppler Ultrasound Imaging System for in Vitro Estimation of Flow Parameters Downstream 800
of Prosthetic Heart Valves
Herkole S, Pibarot P, Dumesil J, Fenster A, Durand LG, Institute de Recherches Cliniques de Montreal, Canada
2.5.2-3 Adaptation of Ultrasound Image Texture Characterization Parameters 804
Chan KL, City University of Hong Kong, Hong Kong SAR
2.5.2-4 Wavelet-Based Enhancement of Lesion Detectability in Ultrasound B-Scan Images 808
Rakotomamonjy A, Marche P, Laboratoire Vision Robotique, France
2.5.2-5 Use of the Laplacian of Gaussian Operator in Prostate Ultrasound Image Processing 812
Zhao FW, deSilva CJS, The University of Western Australia, Australia
2.5.2-6 An Efficient Motion Estimation Techique for Ultrasonic Subaperture Imaging 816
Tavli B, Karaman M, Baskent University, Turkey
2.5.3 Ultrasound Imaging Systems 2.5.3-1 A Prelimitary Study of Therapeutic Domain for Bone Tumor Using Ultrasound Hyperthermia 820
Lu BY, Yang RS, Lin WL, Cheng KS, Wang CY, Kuo TS, National Taiwan University, Taiwan, China
2.5.3-2 Correction of Time-Intensity Curves for Tissue Perfusion Evaluation Using Ultrasound Contrast Agent 824
Li L, Wan MX, Cheng JZ, Xi an Jiaotong University, China
2.5.3-3 Verification of the Feasibility of Elasticity Tomography - Simulation Study 826
Sumi C, Sudou T, Sophia University, Japan
2.5.3-4 In Vitro Study on Arterial Lumen Detection Using A Correlation Technique in IVUS 830
Kudo N, Kanenari T, Zhang X, Yamamoto K, Hokkaido University, Japan
2.5.3-5 Event Recognition for Determining Ischemia Based on Automatically Detected Left Ventricular Contour 832
Asztalos B, Technical University of Budapest, Hungary
2.5.3-6 Measuring Size Dynamics of Embolism in Aortic Aneurysm 834
Adam DR, Ravhon R, Technion - LIT., Israel
2.5.3-7 The Research Work of Ultrasonic A/B Scanner for Ophthalmology 837
Song XD, Yang J, Ji JJ, Wang YQ, Institute of Biomedical Engineering, CAMS PUMC, China
2.5.3-8 A New Calibration Method in 3D Ultrasonic Imaging System 839
Liu J, Gao XR, Zhang ZQ, Gao SK, Zhou JH, Tsinghua University, China
2.5.4 Ultrasound Image Segmentation 2.5.4-1 Tissue Boundary Extraction From Ultrasonogram by Fuzzy Morphology Processing 842
Ito M, Avianto E, Tokyo Univ. of Agri. Tech., Japan
2.5.4-2 Three Dimensional Ophthalmic Ultrasonography and Diagnostic Support System Using Wavelet Transforms 846
Parthasarathy V, Padmanabhan K, Sardar Mai G, Muthukumaran B, Venkatachalam M, Sri Venkateswara College of Eng., India
2.5.4-3 Segmentation of Ultrasonic Ovarian Images by Texture Features 850
Jiang CF, Chen ML, I-Shou University, Taiwan, China
2.5.4-5 A Combination Method for Ultrasonic Speckle Suppression 854
Hao XH, Gao SK, Gao XR, Tsinghua University, China
2.5.4-6 An Automatic 3D Surface Extraction in Ultrasonic Images 857
Hao XH, Gao SK, Gao XR, Xin Y, Zhang TH, Tsinghua University , China
2.5.5 Ultrasound Image and Tissue Analysis 2.5.5-1 Elasticity Imaging of Artery Walls with Intravascular Ultrasound 860
Wan MX, Li YM, Li JB, Cui YY, Xi an Jiaotong University, China
2.5.5-2 Ultrasonic Parameters of Renal Calculi 862
Singh VR, Singh S, National Physical Lab., India
2.5.5-3 Peak Position Estimation Algorithms for Cross-Correlation Function in Elastography 866
Ding CX, Bai J, Tsinghua University, China
XV
Part II: Table of Contents Proceedings of the 20th Annual International Conference of the IEEE-EMBS,1998
2.5.5-4 Automatic Detection of Fetal Movement Using M-Mode Ultrasonography 869
Kwon JH, Kang DJ, Lee DH, Park MI, Kim SI, Hanyang Uni., Korea
2.5.5-5 Automatic Recognition of Malignant Lesions in Ultrasound Images by Artificial Neural Networks 872
Ruggiero C, Bagnoli F, Sacile R, Calabrese M, Rescinito G, Sardanelli F, Dist - University of Genova, Italy
2.6.1 Optical Imaging I 2.6.1-1 Image Reconstruction Schemes for Optical Tomography 876
Hielscher AH, Klose A, State University of New York, USA
2.6.1-2 Experimental Study on Localization of Absorbers Within Tissue Phantom Using A Simple Phased-Array 880
System
Lin F, Su C, Ding HS, Wang GZ, Zhou XQ, Zhang YH, Bai J, Britton C, Tsinghua University, China
2.6.1-3 Development of Depth Extraction Algorithm for the Stereo Endoscopic Image 884
Kim JH, Hwang D, Jeong HK, Song CG, Lee KS, Lee MH, Yonsei University, South Korea
2.6.1-4 Sonoluminescent Tomography 888
Wang LH, Shen QM, Texas A M University, USA
2.6.1-5 Adaptive Beamforming for Optical Coherence Tomography of Biological Tissues 891
Yung KM, Xiang SH, Schmitt JM, Hong Kong SAR
2.6.1-6 Intestinal Abnormality Detection From Endoscopic Images 895
Krishnan SM, Yang X, Chan KL, Kumar S, Goh PMY, Nanyang Technological University, Singapore
2.6.2 Optical Imaging II 2.6.2-1 Dependence of Time and Space Resolved Reflectance on the Particles Size Distribution Near the Tissue 899
Surface
Avrillier S, Tualle JM, Tinet E, Gelebart B, Universite Paris-XIII, France
2.6.2-2 Near Infrared Spectroscopy (NIRS) During Papaverine Therapy and Balloon Occlusion Angiography: Case 902
Reports
Martinez-Coll A, Morgan MK, Nguyen H, Hunyor SN, Australia
2.6.2-3 Development of An Optical System for the Detection of Oral Cancer Using Near-Infrared Spectroscopy 906
Cooney KM, Gossage KW, McShane MJ, van der Breggen EWJ, Motamedi M, Cote GL, Texas A M University, USA
2.6.2-4 Novel Microscopy System for Imaging Brain Tissue Structure and Function 910
Lee J, Chung W, Hanley D, Thakor NV, Johns Hopkins University School of Medicine, USA
2.6.2-5 The Automatic Image Analysis of Red Blood Cell Deformability and Blood Flow in Microchannels with An 914
Image-Intensified High-Speed Video Camera System
Shimizu T, Sekizuka E, Oshio C, Tsukada K, Nagai T, Hokari R, Minamitani H, Keio University, Japan
2.6.3 Infrared Imaging I 2.6.3-1 Infrared Imaging in Diabetic Foot Ulceration 916
Harding JR, Wertheim DF, Williams RJ, Melhuish JM, Banerjee D, Harding KG, St. Woolos Hosptial, UK
2.6.3-2 Computerized Thermal Breast Imaging Revisited: An Adjunctive Tool to Mammography 919
Parisky YR, Skinner KA, Cothren R, DeWittey RL, Birbeck JS, Conti PS, Rich JK, Dougherty WR, USC/Norris
Comprehensive Cancer Hospital, USA
2.6.3-3 A Study on Abdominal Temperature of Dysmenorrhea Patients 922
Lee KS, Cho JH, Kyung Hee University, South Korea
2.6.3-4 Infrared Imaging in Minimally Invasive Surgery 926
Marcucci L, Freeman J, Quinn T, Hopmeier M, Milner R, Friedberg J, Buyske J, University of Pennsylvania, USA
2.6.3-5 Prerequisites of Dynamic Area Telethermometry (DAT) , 928
Anbar M, Milescu L, Sch. of Medicine, Sunyab and Biomedical Science, USA
2.6.3-6 Simulation and Experiment on Biological Tissue for Near Infra-Red (NIR) Photon Migration in A Multi- 932
Layered Model
Ding HS, Su C, Lin F, Wang F, Ying JP, Tsinghau University, China
2.6.4 Infrared Imaging II
2.6.4-1 Imaging of Skin Thermal Properties by Changing Ambient Radiation Temperature - An Electrical Control 936
System for Stepwise Change in Ambient Radiation Temperature
Hassan M. Kimura Y, Asai A, Shimase A, Fukuoka M, Togawa T, Tokyo Medical and Dental University, Japan
2.6.4-2 Development of A Skin Temperature Measuring System for Non-Contact Stress Evaluation 940
Kataoka H, Kano H, Yoshida H, Saijo A, Yasuda M, Osumi M, Sanyo Electric Co. Ltd., Japan
2.6.4-3 Consistent Digital Color Image Acquisition of the Skin 944
Vander Haeghen Y, Naeyaert JM, Lemahieu I, University Gent, Belgium
xvi
Part II: Table of Contents Proceedings of the 20th Annual International Conference of the IEEE-EMBS,1998
2.6.4-4 Development of A New Infrared Imaging System: An Infrared Image Superimposed on the Visible Image 950
Fujimasa I, Kouno A, Nakazawa H, National Graduate Institue for Policy Studies, Japan
2.6.4-5 Temperature Measurement in the External Auditory Meatus by An IR Optical Fiber 953
Mizote M, Matsuzaki H, Teikyo Heisei University, Japan
2.6.4-6 Development of An Image Processing Software for Medical Thermogram Analysis Using A Commercially 956
Available Image Processing System
Fujimasa I, Nakazawa H, Miyasaka E, National Graduate Institue for Policy Studies, Japan
2.6.5 Biomedical Image Analysis 2.6.5-1 Detection of Patient Movement for Video EEG Monitoring 959
Chang YD, Lee DG, Ryoo SY, Lee DS, Hanyang University, Korea
2.6.5-2 Wavelet-Based Enhancement of Human Chromosome Images 963
Wu Q, Castleman KR, Perceptive Scientific Instruments, Inc, USA
2.6.5-3 Autofluorescence Spectorscopy to Identify Normal and Cancerous Colorectal Tissues 967
Wang CY, Lin JK, Chiang HHK, National Yang-Ming University, Taiwan, China
2.6.5-4 Shape Descriptors Computed from Photographs of Dolphin Dorsal Fins for Use As Database Indices 970
Hillman GR, Tagare H, Elder K, Drobyshevski A, Weller D, Wursig B, University of Texas Medical Branch, USA
2.6.5-5 Parameterized Characterization of Elliptic Sperm Heads Using Fourier Representation and Wavelet 974
Transform
Yi WJ, Park KS, Paick JS, Seoul National University, Korea
2.6.5-6 Reference Database of Images and Video Sequences in Gastrointestinal Endoscopy: A Medical Approach 978
Cauvin JM, Solaiman B, Guillou CL, Brunet G, Robaszkiewicz M, Roux C, Centre Hospitalier Universitaire, France
2.6.5-7 Logistic Regression in the Analysis of Image Cytometric Data of Fine-Needle Aspirated Cells of Breast 982
Cancer Patients - A Comparison with Artificial Neural Networks
Naguib RNG, Mat-Sakim HA, Lakshmi MS, Wadehra V, Lennard TWJ, Bhatavdekar J, Sherbet GV, Coventry University, UK
2.6.5-8 Classification of Facial Expressions Using Self-Organizing Maps 986
Katoh A, Fukui Y, Tokyo Denki University, Japan
2.6.5-9 An Improved Adaptive B-Spline Active Contour Model 990
Tang HY, Zhuang TG, Shanghai Jiaotong University, China
2.6.5-10 A Method for Improving the Measurement Data Resolution of Time-Resolved Spectroscopy (TRS) Using 994
Adaptive Pulse Compression Filter
Su C, Lin F, Ding HS, Chance B, Tsinghua University, China
2.6.5-11 Imaged Based 3D Solid Model Construction of Human Arteries for Blood Flow Simulations 998
Parker D, Taylor CA, Wang K, Stanford University, USA
2.6.5-12 Segmentation of Breast Tumors in Mammograms by Fuzzy Region Growing 1002
Guliato D, Rangayyan RM, Carnielli WA, Zuffo JA, Leo Desautels JE, University of Calgary, Canada
2.7.1 Mammography _____ 2.7.1-1 Classification of Microcalcifications in Mammograms Using Artificial Neural Networks 1006
Nguyen H, Hung WT, Thornton BS, Thornton E, Lee W, University of Technology, Sydney, Australia
2.7.1-2 A Methods of Image Enhancement and Fractal Dimension for Detection of Microcalcifications in 1009
Mammogram
Nam SH, Choi JY, Seo JH, Inje University, South Korea
2.7.1-3 Adaptive CAD Modules for Mass Detection in Digital Mammography 1013
Qian W, Li L, Clarke LP, Mao F, Clark RA, University of South Florida, USA
2.7.1-4 Computer-Aided Diagnosis: Analysis of Mammographic Parenchymal Patterns and Classification of Masses 1017
on Digitized Mammograms
Huo Zm.Giger ML,Vybomy CJ.Olopade Fl.Wolverton DE, Department of Radiology,University of Chicago, USA
2.7.1-5 Lesion Detection and Characterization in Digital Mammography by Bezier Histograms 1021
Qi HR, and Snyder WE, North Carolina State University, USA
2.7.1-6 Digital Mammographic Image Analysis and Data Compression 1025
Lin HD, Lin KP, Lou SL, Chung-Yuan University, Taiwan, China
2.8.1 Impedance Imaging
2.8.1-1 A Bayesian Approach and Total Variation Priors in 3D Electrical Impedance Tomography 1028
Kolehmainen VP, Somersalo E, Vauhkonen PJ, Vauhkonen M, Kaipio JP, University of Kuopio, Finland
2.8.1-2 Construction of Anatomy-Based Priors with Anisotropic Characteristics with Application to Electrical 1032
Impedance Tomography
Kaipio JP, Kolehmainen V, Vauhkonen M, Somersalo E, University of Kuopio, Finland
xvii
Part II: Table of Contents Proceedings of the 20th Annual International Conference of the IEEE-EMBS,1998
2.8.1-3 Reconstructing the Conductivity of Nodes in Electrical Impedance Tomography 1036
Li XL, He XB, Zhou SC, Chongqing University, China
2.8.1-4 Theoretical and Numerical Comparisons Between Laplace s Solution and Poisson s Solution to the Forward 1038
Problem for A Finite Right Circular Cylinder
Kleinermann F, Avis NJ, Alhargan FA, University of Salford, UK
2.8.1-5 The Design of De Montfort Mk2 Electrical Impedance Mammography System 1042
Wang W, Tunstall B, Chauhan D, McCormick M, De Montfort University, UK
2.8.1-6 A New Analytical Method for the Inverse Problem in Electrical Impedance Tomography 1044
Kauati AT, de Souza MN, Nadal J, Federal Uni. of Rio de Janeiro-Brazil, Brazil
2.8.2 Other Imaging Modalities 2.8.2-1 A Kalman Filter Approach Applied to the Tracking of Fast Movements of Organ Boundaries 1048
Vauhkonen M, Karjalainen PA, Kaipio JP, University of Kuopio, Finland
2.8.2-2 Development of Electrical Bioimpedance Technology in the Future 1052
Ren CS, Wang HY, An Y, Sha H, Lin GJ, Chinese Academy of Medical Sciences Peking Union Medical College, China
2.8.2-3 Improving EIT Image Quality by Using Multiple Meshes Combination 1055
Tang MX, Dong XZ, You FS, Shi XT, Qin MX, Fu F, Fourth Military Medical University, China
2.8.2-4 Reconstruction of Temperature-Change Distribution Inside the Brain Phantom Using Capacitance 1058
Measurement Method
Kimoto A, Matsuoka YI, Shida K, Saga University, Japan
2.8.2-5 Information Extraction From 2D Electrophoresis Images 1060
Thompson A, Brotherton T, The Orincon Corp., USA
2.8.2-6 Interstitial Electrolyte Infusion Creates A Liquid Electrode for Controlled Application of High Power 1064
Radiofrequency Energy
Hoey MF, Paul S, University of Minnesota, USA
THEME 12: DEVELOPING AREAS
12.1.1 Biotechnology 12.1.1-1 Study on Electro-Bactericidal Effect of the Metal Coating Flat Sheet Membrane for Pseudomonas 1068
Aeruginosa
Sugawara T, Kimura K, Misawa K, Arisawa J, Igarashi O, Hokkaido Institute of Technology, Japan
12.1.1-2 Application of Ionisation Constant of Amino Acids for Protein Signal Analysis Within the Resonant 1072
Recognition Model
Cosic I, Pirogova E, Monash Unviersity, Australia
12.1.1-3 Automated DNA Sequencing on Gel Images by Digital Techniques 1076
Zhu SF, Zhang YT, The Zhejiang Medical University, China
12.1.1-4 Dielectrophoretic Manipulation of Avidin and DNA 1079
Bakewell DJG, Hughes MP, Milner JJ, Morgan H, University of Glasgow, UK
12.2.1 Alternative Medicine
12.2.1-1 Computer Aided Anti-Thrombosis Traditional Chinese Medicine Selecting System In-Vivo In-Vitro Model 1083
Zheng XX, Xu L, Yuan H, Zhejiang University, China
12.2.1-2 Biological Implication of Electrical Properties of Acupuncture Meridians 1086
Chen KG, Soochow University, Taiwan, China
12.2.1-3 Researching Situation on mm-Wave Band Jingluo Effects 1088
Dong SY, Tang L, Han XL, Di WY, Deng L, Xidian University, China
xviii
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| spelling | Biomedical engineering towards the year 2000 and beyond Hong Kong SAR, China, October 29 - November 1, 1998 2 Medical imaging and image processing, developing areas ed. by H. K. Chang ... Piscataway, NJ IEEE Operations Center 1998 XVIII S., S. 532 - 1089, S. A-I - A-XI Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Proceedings of the annual international conference of the IEEE Engineering in Medicine and Biology Society 20,2 Proceedings of the ... annual international conference of the IEEE Engineering in Medicine and Biology Society 20 Chang, H. K. edt (DE-604)BV024137992 2 Proceedings of the annual international conference of the IEEE Engineering in Medicine and Biology Society 20,2 (DE-604)BV024643382 20,2 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018303629&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Biomedical engineering towards the year 2000 and beyond Hong Kong SAR, China, October 29 - November 1, 1998 Proceedings of the annual international conference of the IEEE Engineering in Medicine and Biology Society |
| title | Biomedical engineering towards the year 2000 and beyond Hong Kong SAR, China, October 29 - November 1, 1998 |
| title_auth | Biomedical engineering towards the year 2000 and beyond Hong Kong SAR, China, October 29 - November 1, 1998 |
| title_exact_search | Biomedical engineering towards the year 2000 and beyond Hong Kong SAR, China, October 29 - November 1, 1998 |
| title_full | Biomedical engineering towards the year 2000 and beyond Hong Kong SAR, China, October 29 - November 1, 1998 2 Medical imaging and image processing, developing areas ed. by H. K. Chang ... |
| title_fullStr | Biomedical engineering towards the year 2000 and beyond Hong Kong SAR, China, October 29 - November 1, 1998 2 Medical imaging and image processing, developing areas ed. by H. K. Chang ... |
| title_full_unstemmed | Biomedical engineering towards the year 2000 and beyond Hong Kong SAR, China, October 29 - November 1, 1998 2 Medical imaging and image processing, developing areas ed. by H. K. Chang ... |
| title_short | Biomedical engineering towards the year 2000 and beyond |
| title_sort | biomedical engineering towards the year 2000 and beyond hong kong sar china october 29 november 1 1998 medical imaging and image processing developing areas |
| title_sub | Hong Kong SAR, China, October 29 - November 1, 1998 |
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