Landmarking and segmentation of 3D CT images:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Rafael, Calif
Morgan & Claypool Publishers
c2009
|
| Schriftenreihe: | Synthesis lectures on biomedical engineering
30 |
| Schlagworte: | |
| Online-Zugang: | TUM01 Volltext |
| Beschreibung: | Includes bibliographical references (p. 127-138) and index Segmentation and landmarking of computed tomographic (CT) images of pediatric patients are important and useful in computer-aided diagnosis (CAD), treatment planning, and objective analysis of normal as well as pathological regions. Identification and segmentation of organs and tissues in the presence of tumors are difficult. Automatic segmentation of the primary tumor mass in neuroblastoma could facilitate reproducible and objective analysis of the tumor's tissue composition, shape, and size. However, due to the heterogeneous tissue composition of the neuroblastic tumor, ranging from low-attenuation necrosis to high-attenuation calcification, segmentation of the tumor mass is a challenging problem. In this context, methods are described in this book for identification and segmentation of several abdominal and thoracic landmarks to assist in the segmentation of neuroblastic tumors in pediatric CT images. Methods to identify and segment automatically the peripheral artifacts and tissues, the rib structure, the vertebral column, the spinal canal, the diaphragm, and the pelvic surface are described. Techniques are also presented to evaluate quantitatively the results of segmentation of the vertebral column, the spinal canal, the diaphragm, and the pelvic girdle by comparing with the results of independent manual segmentation performed by a radiologist. The use of the landmarks and removal of several tissues and organs are shown to assist in limiting the scope of the tumor segmentation process to the abdomen, to lead to the reduction of the false-positive error, and to improve the result of segmentation of neuroblastic tumors |
| Beschreibung: | 1 Online-Ressource (xxii, 148 p. ill.) |
| ISBN: | 1598292846 1598292854 9781598292855 |
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| id | DE-604.BV040473974 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:24:36Z |
| institution | BVB |
| isbn | 1598292846 1598292854 9781598292855 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025321263 |
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| physical | 1 Online-Ressource (xxii, 148 p. ill.) |
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| publishDate | 2009 |
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| series | Synthesis lectures on biomedical engineering |
| series2 | Synthesis lectures on biomedical engineering |
| spelling | Banik, Shantanu Verfasser aut Landmarking and segmentation of 3D CT images Shantanu Banik, Rangaraj M. Rangayyan, Graham S. Boag San Rafael, Calif Morgan & Claypool Publishers c2009 1 Online-Ressource (xxii, 148 p. ill.) txt rdacontent c rdamedia cr rdacarrier Synthesis lectures on biomedical engineering 30 Includes bibliographical references (p. 127-138) and index Segmentation and landmarking of computed tomographic (CT) images of pediatric patients are important and useful in computer-aided diagnosis (CAD), treatment planning, and objective analysis of normal as well as pathological regions. Identification and segmentation of organs and tissues in the presence of tumors are difficult. Automatic segmentation of the primary tumor mass in neuroblastoma could facilitate reproducible and objective analysis of the tumor's tissue composition, shape, and size. However, due to the heterogeneous tissue composition of the neuroblastic tumor, ranging from low-attenuation necrosis to high-attenuation calcification, segmentation of the tumor mass is a challenging problem. In this context, methods are described in this book for identification and segmentation of several abdominal and thoracic landmarks to assist in the segmentation of neuroblastic tumors in pediatric CT images. Methods to identify and segment automatically the peripheral artifacts and tissues, the rib structure, the vertebral column, the spinal canal, the diaphragm, and the pelvic surface are described. Techniques are also presented to evaluate quantitatively the results of segmentation of the vertebral column, the spinal canal, the diaphragm, and the pelvic girdle by comparing with the results of independent manual segmentation performed by a radiologist. The use of the landmarks and removal of several tissues and organs are shown to assist in limiting the scope of the tumor segmentation process to the abdomen, to lead to the reduction of the false-positive error, and to improve the result of segmentation of neuroblastic tumors Diagnostic imaging Tomography Biomedical engineering Rangayyan, Rangaraj M. Sonstige oth Boag, Graham S. Sonstige oth Synthesis lectures on biomedical engineering 30 (DE-604)BV037227713 30 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=440206 Verlag Volltext |
| spellingShingle | Banik, Shantanu Landmarking and segmentation of 3D CT images Synthesis lectures on biomedical engineering Diagnostic imaging Tomography Biomedical engineering |
| title | Landmarking and segmentation of 3D CT images |
| title_auth | Landmarking and segmentation of 3D CT images |
| title_exact_search | Landmarking and segmentation of 3D CT images |
| title_full | Landmarking and segmentation of 3D CT images Shantanu Banik, Rangaraj M. Rangayyan, Graham S. Boag |
| title_fullStr | Landmarking and segmentation of 3D CT images Shantanu Banik, Rangaraj M. Rangayyan, Graham S. Boag |
| title_full_unstemmed | Landmarking and segmentation of 3D CT images Shantanu Banik, Rangaraj M. Rangayyan, Graham S. Boag |
| title_short | Landmarking and segmentation of 3D CT images |
| title_sort | landmarking and segmentation of 3d ct images |
| topic | Diagnostic imaging Tomography Biomedical engineering |
| topic_facet | Diagnostic imaging Tomography Biomedical engineering |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=440206 |
| volume_link | (DE-604)BV037227713 |
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