Statistical iterative reconstruction and dose reduction in multi-slice computed tomography:
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| Sprache: | English |
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Logos Verlag Berlin
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| Schriftenreihe: | Studien zur Mustererkennung
Band 49 |
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| Beschreibung: | iv, 195 Seiten Illustrationen, Diagramme 21 cm x 14.5 cm |
| ISBN: | 9783832554439 3832554432 |
Internformat
MARC
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| 100 | 1 | |a Hahn, Katharina |0 (DE-588)1251578373 |4 aut | |
| 245 | 1 | 0 | |a Statistical iterative reconstruction and dose reduction in multi-slice computed tomography |c Katharina Hahn |
| 246 | 1 | 3 | |a Statistische iterative Rekonstruktion und Dosisreduktion in Multischicht Computertomographie |
| 264 | 1 | |a Berlin |b Logos Verlag Berlin |c [2022] | |
| 264 | 4 | |c ©2022 | |
| 300 | |a iv, 195 Seiten |b Illustrationen, Diagramme |c 21 cm x 14.5 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Studien zur Mustererkennung |v Band 49 | |
| 502 | |b Dissertation |c Friedrich-Alexander-Universität Erlangen-Nürnberg |d 2021 | ||
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| 650 | 0 | 7 | |a Computertomografie |0 (DE-588)4113240-3 |2 gnd |9 rswk-swf |
| 653 | |a Computed tomography | ||
| 653 | |a Image reconstruction | ||
| 653 | |a Iterative methods | ||
| 653 | |a Forward projection | ||
| 653 | |a Image quality | ||
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Computertomografie |0 (DE-588)4113240-3 |D s |
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Datensatz im Suchindex
| _version_ | 1804183385234472960 |
|---|---|
| adam_text | CONTENTS
CHAPTER
1
INTRODUCTION
1
1.1
COMPUTED
TOMOGRAPHY
EXAMINATIONS
.........................................................................
1
1.2
TOWARDS
LOW-DOSE
CT
...................................................................................................
2
1.3
SCIENTIFIC
CONTRIBUTIONS
...................................................................................................
4
1.4
DISSERTATION
OUTLINE
........................................................................................................
6
CHAPTER
2
PRINCIPLES
OF
COMPUTED
TOMOGRAPHY
9
2.1
SETUP
OF
A
COMPUTER
TOMOGRAPH
................................................................................
9
2.2
LAMBERT-BEER S
LAW
........................................................................................................
10
2.3
GENERATIONS
OF
CT
SCANNERS
...........................................................................................
12
2.3.1
FIRST
GENERATION
CT
SCANNER
...........................................................................
12
2.3.2
SECOND
GENERATION
CT
SCANNER
.........................................................................
12
2.3.3
THIRD
GENERATION
CT
SCANNER
...........................................................................
13
2.4
PROJECTION
SAMPLING
GEOMETRIES
...................................................................................
14
2.5
SCAN
MODES
.......................................................................................................................
15
2.6
X-RAY
BEAM
FILTRATION
.....................................................................................................
16
2.7
QUARTER
DETECTOR
OFFSET
AND
FLYING
FOCAL
SPOT
.........................................................
16
2.8
HOUNSFIELD
UNITS
...............................................................................................................
17
CHAPTER
3
MATHEMATICAL
DESCRIPTION
OF
THE
DATA
ACQUISITION
PROCESS
19
3.1
SCANNER
GEOMETRY
..........................................................................................................
19
3.2
TWO-DIMENSIONAL
RADON
TRANSFORM
..............................................................................
20
3.3
DIVERGENT
BEAM
TRANSFORM
IN
2D
................................................................................
22
3.4
DIVERGENT
BEAM
TRANSFORM
IN
3D
................................................................................
24
CHAPTER
4
ITERATIVE
RECONSTRUCTION
TECHNIQUES
27
4.1
GENERAL
APPROACH
TO
ITERATIVE
RECONSTRUCTION
............................................................
27
4.2
FRAMEWORK
OF
ITERATIVE
RECONSTRUCTION
METHODS
......................................................
29
4.2.1
NON-CONSTRAINED
ITERATIVE
IMAGE
RECONSTRUCTION
..........................................
29
4.2.2
CONSTRAINED
ITERATIVE
IMAGE
RECONSTRUCTION
.................................................
30
4.3
ITERATIVE
RECONSTRUCTION
ALGORITHMS
...........................................................................
32
4.3.1
LANDWEBER
METHOD
.............................................................................................
32
4.3.2
ITERATIVE
COORDINATE
DESCENT
METHOD
..............................................................
34
4.4
STRENGTHS
AND
WEAKNESSES
OF
ITERATIVE
RECONSTRUCTION
METHODS
..........................
36
CHAPTER
5
IMAGE
QUALITY
ASSESSMENT
37
5.1
PHANTOM
............................................................................................................................
37
5.2
QUANTITATIVE
EVALUATION:
BASIC
METRICS
......................................................................
38
5.2.1
SPATIAL
RESOLUTION
.............................................................................................
38
5.2.2
COMPUTATIONAL
COST
.............................................................................................
40
5.2.3
OVERSHOOT
EVALUATION
.........................................................................................
41
5.2.4
RECONSTRUCTION
ERROR
.............................................................................................
41
5.2.5
NOISE
........................................................................................................................
42
5.2.5.1
MEAN
STANDARD
DEVIATION
............................................................................
42
5.2.5.2
MEAN
CORRELATION
COEFFICIENT
....................................................................
43
5.3
QUANTITATIVE
EVALUATION:
TASK-BASED
METRICS
............................................................
44
5.3.1
OBSERVER
PERFORMANCE
MEASURES
.......................................................................
44
5.3.1.1
AREA
UNDER
THE
RECEIVER
OPERATING
CHARACTERISTIC
CURVE
..................
44
5.3.1.2
SIGNAL-TO-NOISE
RATIO
....................................................................................
45
5.3.2
IDEAL
OBSERVER
......................................................................................................
46
5.3.3
CHANNELIZED
HOTELLING
OBSERVER
.........................................................................
47
5.3.3.1
THEORY
..............................................................................................................
47
5.3.3.2
CHANNEL
SELECTION
.........................................................................................
48
5.3.3.3
INTERNAL
NOISE
.................................................................................................
49
5.3.4
HUMAN
OBSERVER
...................................................................................................
50
5.4
BASIC
METRICS
VERSUS
TASK-BASED
METRICS
....................................................................
51
CHAPTER
6
IMPACT
OF
DISCRETE
IMAGE
REPRESENTATION
TECHNIQUES
ON
IMAGE
QUALITY
53
6.1
MOTIVATION
AND
LIMITATIONS
............................................................................................
54
6.2
DISCRETE
IMAGE
REPRESENTATION
TECHNIQUES
.................................................................
54
6.2.1
SAMPLING
APPROACH
..............................................................................................
54
6.2.2
STRIP
INTEGRAL
APPROACH
......................................................................................
56
6.2.3
BASIS
FUNCTION
APPROACH
....................................................................................
57
6.2.3.1
GENERAL
CONCEPT
............................................................................................
58
6.2.3.2
B-SPLINES
.........................................................................................................
58
6.2.3.3
BLOBS
................................................................................................................
63
6.2.4
COMPARATIVE
DISCUSSION
......................................................................................
64
6.3
EXPERIMENTAL
SETUP
.........................................................................................................
65
6.3.1
RECONSTRUCTION
METHOD
......................................................................................
65
6.3.2
GEOMETRICAL
SETTINGS
............................................................................................
66
6.3.3
PHANTOM
SELECTION
AND
DATA
SIMULATION
........................................................
68
6.4
PRELIMINARY
STUDY
..............................................................................................................
69
6.4.1
STUDY
DESIGN
...........................................................................................................
69
6.4.2
VISUAL
APPEARANCE
OF
SOME
RECONSTRUCTIONS
....................................................
69
6.4.3
QUANTITATIVE
EVALUATION:
BASIC
METRICS
..........................................................
71
6.4.4
SUMMARY
DISCUSSION
............................................................................................
74
6.5
QUANTITATIVE
EVALUATION
OF
LINEAR
INTERPOLATION
MODELS:
BASIC
METRICS
................
75
6.5.1
PRESENTATION
OF
THE
RESULTS
.................................................................................
75
6.5.1.1
FIGURE-OF-MERIT
..............................................................................................
75
6.5.1.2
DISPLAY
CONCEPT
............................................................................................
76
6.5.2
VISUAL
APPEARANCE
OF
SOME
RECONSTRUCTIONS
..................................................
77
6.5.3
RESULTS
...................................................................................................................
77
6.5.4
SUMMARY
DISCUSSION
............................................................................................
82
II
6.6
QUANTITATIVE
EVALUATION
OF
LINEAR
INTERPOLATION
MODELS:
TASK-BASED
METRICS
.
.
85
6.6.1
IDEAL
OBSERVER
STUDY
...........................................................................................
86
6.6.1.1
TASK
SELECTION
.............................................................................................
86
6.6.1.2
CONTROLLING
STATISTICAL
VARIABILITY
..............................................................
88
6.6.1.3
RESULTS
..........................................................................................................
89
6.6.2
CHANNELIZED
HOTELLING
OBSERVER
STUDY
............................................................
91
6.6.2.1
TASK
SELECTION
.............................................................................................
91
6.6.2.2
CONTROLLING
STATISTICAL
VARIABILITY
..............................................................
91
6.6.2.3
RESULTS
..........................................................................................................
91
6.6.3
HUMAN
OBSERVER
STUDY
......................................................................................
93
6.6.3.1
TASK
SELECTION
.............................................................................................
93
6.6.3.2
RESULTS
..........................................................................................................
94
6.6.4
SUMMARY
DISCUSSION
...........................................................................................
97
6.7
DISCUSSION
AND
CONCLUSION
.............................................................................................
97
CHAPTER
7
CHALLENGES
POSED
BY
STATISTICAL
WEIGHTS
AND
DATA
REDUNDANCIES
101
7.1
MOTIVATION
AND
LIMITATIONS
..............................................................................................
102
7.2
EXPERIMENTAL
SETUP
..........................................................................................................
102
7.2.1
STUDY
SETUP
.............................................................................................................
102
7.2.2
GEOMETRICAL
SETTINGS
..............................................................................................
103
7.2.3
PHANTOM
SELECTION
AND
DATA
SIMULATION
.........................................................
103
7.2.4
RECONSTRUCTION
METHODS
......................................................................................103
7.2.5
FORWARD
PROJECTION
MODEL
...................................................................................
104
7.3
CONCEPT
OF
ICD
PARAMETER
SELECTION
..............................................................................
105
7.4
PART
I:
RECONSTRUCTION
WITH
STATISTICAL
WEIGHTS
............................................................107
7.4.1
BOWTIE
FILTER
MODEL
................................................................................................
107
7.4.2
EXPERIMENTAL
DETAILS
..............................................................................................
107
7.4.2.1
PARAMETER
SELECTION
........................................................................................107
7.4.2.2
IMAGE
QUALITY
ASSESSMENT
...........................................................................109
7.4.3
RESULTS
.....................................................................................................................110
7.4.3.1
INFLUENCE
OF
STATISTICAL
WEIGHTS
....................................................................
110
7.4.3.2
INFLUENCE
OF
STATISTICAL
WEIGHTS
AND
PENALTY
TERM
..................................
118
7.4.4
SUMMARY
DISCUSSION
..............................................................................................
122
7.5
PART
II:
RECONSTRUCTION
WITH
DATA
REDUNDANCIES
.........................................................
124
7.5.1
DATA
REDUNDANCY
HANDLING
.................................................................................
125
7.5.2
EXPERIMENTAL
DETAILS
.............................................................................................
125
7.5.2.1
PARAMETER
SELECTION
........................................................................................
125
7.5.2.2
IMAGE
QUALITY
ASSESSMENT
...........................................................................
126
7.5.3
RESULTS
.....................................................................................................................
126
7.5.3.1
INFLUENCE
OF
STATISTICAL
WEIGHTS
....................................................................
126
7.5.3.2
INFLUENCE
OF
STATISTICAL
WEIGHTS
AND
PENALTY
TERM
..................................
133
7.5.4
SUMMARY
DISCUSSION
.............................................................................................
137
7.6
DISCUSSION
AND
CONCLUSION
................................................................................................139
III
CHAPTER
8
FINESSE:
A
FAST
ITERATIVE
NON-LINEAR
EXACT
SUB-SPACE
SEARCH
BASED
ALGORITHM
141
8.1
MOTIVATION
AND
CLINICAL
APPLICATION
.................................................................................
141
8.2
ALGORITHM
DESIGN
.................................................................................................................142
8.2.1
PROBLEM
FORMULATION
..............................................................................................
142
8.2.2
DESCRIPTION
OF
FISTA
..............................................................................................142
8.2.3
DESCRIPTION
OF
FINESSE
.........................................................................................144
8.2.3.1
GENERAL
CONCEPT
..............................................................................................144
8.2.3.2
MATHEMATICAL
DESCRIPTION
...............................................................................145
8.2.3.3
WHAT
SETS
FINESSE
APART
FROM
OTHER
ALGORITHMS
................................
146
8.3
SIMULATION
STUDY
................................................................................................................147
8.3.1
EXPERIMENTAL
SETUP
.................................................................................................147
8.3.1.1
GEOMETRICAL
SETTINGS
......................................................................................147
8.3.1.2
PHANTOM
SELECTION
AND
DATA
SIMULATION
..................................................
148
8.3.1.3
FINESSE
SETTINGS
............................................................................................148
8.3.1.4
RECONSTRUCTION
METHODS
...............................................................................149
8.3.1.5
IMAGE
QUALITY
ASSESSMENT
............................................................................149
8.3.1.6
COMPUTATIONAL
COST
......................................................................................
150
8.3.2
RESULTS
......................................................................................................................150
8.3.3
SUMMARY
DISCUSSION
..............................................................................................
155
8.4
REAL
DATA
STUDY
...................................................................................................................
157
8.4.1
MEASUREMENT
SETUP
.................................................................................................157
8.4.2
SCANNER
AND
PHANTOM
SELECTION
.........................................................................157
8.4.2.1
FINESSE
SETTINGS
............................................................................................158
8.4.2.2
RECONSTRUCTION
METHODS
...............................................................................
159
8.4.3
RESULTS
......................................................................................................................159
8.4.4
SUMMARY
DISCUSSION
..............................................................................................159
8.5
DISCUSSION
AND
CONCLUSION
.................................................................................................160
CHAPTER
9
SUMMARY
AND
OUTLOOK
163
9.1
SUMMARY
................................................................................................................................163
9.2
OUTLOOK
................................................................................................................................165
CHAPTER
A
PROOFS
AND
DERIVATIONS
167
A.L
PROOFS
FOR
THE
LANDWEBER
ALGORITHM
...............................................................................167
LIST
OF
ABBREVIATIONS
AND
SYMBOLS
169
LIST
OF
FIGURES
177
LIST
OF
TABLES
181
LIST
OF
ALGORITHMS
183
BIBLIOGRAPHY
185
IV
|
| adam_txt |
CONTENTS
CHAPTER
1
INTRODUCTION
1
1.1
COMPUTED
TOMOGRAPHY
EXAMINATIONS
.
1
1.2
TOWARDS
LOW-DOSE
CT
.
2
1.3
SCIENTIFIC
CONTRIBUTIONS
.
4
1.4
DISSERTATION
OUTLINE
.
6
CHAPTER
2
PRINCIPLES
OF
COMPUTED
TOMOGRAPHY
9
2.1
SETUP
OF
A
COMPUTER
TOMOGRAPH
.
9
2.2
LAMBERT-BEER'S
LAW
.
10
2.3
GENERATIONS
OF
CT
SCANNERS
.
12
2.3.1
FIRST
GENERATION
CT
SCANNER
.
12
2.3.2
SECOND
GENERATION
CT
SCANNER
.
12
2.3.3
THIRD
GENERATION
CT
SCANNER
.
13
2.4
PROJECTION
SAMPLING
GEOMETRIES
.
14
2.5
SCAN
MODES
.
15
2.6
X-RAY
BEAM
FILTRATION
.
16
2.7
QUARTER
DETECTOR
OFFSET
AND
FLYING
FOCAL
SPOT
.
16
2.8
HOUNSFIELD
UNITS
.
17
CHAPTER
3
MATHEMATICAL
DESCRIPTION
OF
THE
DATA
ACQUISITION
PROCESS
19
3.1
SCANNER
GEOMETRY
.
19
3.2
TWO-DIMENSIONAL
RADON
TRANSFORM
.
20
3.3
DIVERGENT
BEAM
TRANSFORM
IN
2D
.
22
3.4
DIVERGENT
BEAM
TRANSFORM
IN
3D
.
24
CHAPTER
4
ITERATIVE
RECONSTRUCTION
TECHNIQUES
27
4.1
GENERAL
APPROACH
TO
ITERATIVE
RECONSTRUCTION
.
27
4.2
FRAMEWORK
OF
ITERATIVE
RECONSTRUCTION
METHODS
.
29
4.2.1
NON-CONSTRAINED
ITERATIVE
IMAGE
RECONSTRUCTION
.
29
4.2.2
CONSTRAINED
ITERATIVE
IMAGE
RECONSTRUCTION
.
30
4.3
ITERATIVE
RECONSTRUCTION
ALGORITHMS
.
32
4.3.1
LANDWEBER
METHOD
.
32
4.3.2
ITERATIVE
COORDINATE
DESCENT
METHOD
.
34
4.4
STRENGTHS
AND
WEAKNESSES
OF
ITERATIVE
RECONSTRUCTION
METHODS
.
36
CHAPTER
5
IMAGE
QUALITY
ASSESSMENT
37
5.1
PHANTOM
.
37
5.2
QUANTITATIVE
EVALUATION:
BASIC
METRICS
.
38
5.2.1
SPATIAL
RESOLUTION
.
38
5.2.2
COMPUTATIONAL
COST
.
40
5.2.3
OVERSHOOT
EVALUATION
.
41
5.2.4
RECONSTRUCTION
ERROR
.
41
5.2.5
NOISE
.
42
5.2.5.1
MEAN
STANDARD
DEVIATION
.
42
5.2.5.2
MEAN
CORRELATION
COEFFICIENT
.
43
5.3
QUANTITATIVE
EVALUATION:
TASK-BASED
METRICS
.
44
5.3.1
OBSERVER
PERFORMANCE
MEASURES
.
44
5.3.1.1
AREA
UNDER
THE
RECEIVER
OPERATING
CHARACTERISTIC
CURVE
.
44
5.3.1.2
SIGNAL-TO-NOISE
RATIO
.
45
5.3.2
IDEAL
OBSERVER
.
46
5.3.3
CHANNELIZED
HOTELLING
OBSERVER
.
47
5.3.3.1
THEORY
.
47
5.3.3.2
CHANNEL
SELECTION
.
48
5.3.3.3
INTERNAL
NOISE
.
49
5.3.4
HUMAN
OBSERVER
.
50
5.4
BASIC
METRICS
VERSUS
TASK-BASED
METRICS
.
51
CHAPTER
6
IMPACT
OF
DISCRETE
IMAGE
REPRESENTATION
TECHNIQUES
ON
IMAGE
QUALITY
53
6.1
MOTIVATION
AND
LIMITATIONS
.
54
6.2
DISCRETE
IMAGE
REPRESENTATION
TECHNIQUES
.
54
6.2.1
SAMPLING
APPROACH
.
54
6.2.2
STRIP
INTEGRAL
APPROACH
.
56
6.2.3
BASIS
FUNCTION
APPROACH
.
57
6.2.3.1
GENERAL
CONCEPT
.
58
6.2.3.2
B-SPLINES
.
58
6.2.3.3
BLOBS
.
63
6.2.4
COMPARATIVE
DISCUSSION
.
64
6.3
EXPERIMENTAL
SETUP
.
65
6.3.1
RECONSTRUCTION
METHOD
.
65
6.3.2
GEOMETRICAL
SETTINGS
.
66
6.3.3
PHANTOM
SELECTION
AND
DATA
SIMULATION
.
68
6.4
PRELIMINARY
STUDY
.
69
6.4.1
STUDY
DESIGN
.
69
6.4.2
VISUAL
APPEARANCE
OF
SOME
RECONSTRUCTIONS
.
69
6.4.3
QUANTITATIVE
EVALUATION:
BASIC
METRICS
.
71
6.4.4
SUMMARY
DISCUSSION
.
74
6.5
QUANTITATIVE
EVALUATION
OF
LINEAR
INTERPOLATION
MODELS:
BASIC
METRICS
.
75
6.5.1
PRESENTATION
OF
THE
RESULTS
.
75
6.5.1.1
FIGURE-OF-MERIT
.
75
6.5.1.2
DISPLAY
CONCEPT
.
76
6.5.2
VISUAL
APPEARANCE
OF
SOME
RECONSTRUCTIONS
.
77
6.5.3
RESULTS
.
77
6.5.4
SUMMARY
DISCUSSION
.
82
II
6.6
QUANTITATIVE
EVALUATION
OF
LINEAR
INTERPOLATION
MODELS:
TASK-BASED
METRICS
.
.
85
6.6.1
IDEAL
OBSERVER
STUDY
.
86
6.6.1.1
TASK
SELECTION
.
86
6.6.1.2
CONTROLLING
STATISTICAL
VARIABILITY
.
88
6.6.1.3
RESULTS
.
89
6.6.2
CHANNELIZED
HOTELLING
OBSERVER
STUDY
.
91
6.6.2.1
TASK
SELECTION
.
91
6.6.2.2
CONTROLLING
STATISTICAL
VARIABILITY
.
91
6.6.2.3
RESULTS
.
91
6.6.3
HUMAN
OBSERVER
STUDY
.
93
6.6.3.1
TASK
SELECTION
.
93
6.6.3.2
RESULTS
.
94
6.6.4
SUMMARY
DISCUSSION
.
97
6.7
DISCUSSION
AND
CONCLUSION
.
97
CHAPTER
7
CHALLENGES
POSED
BY
STATISTICAL
WEIGHTS
AND
DATA
REDUNDANCIES
101
7.1
MOTIVATION
AND
LIMITATIONS
.
102
7.2
EXPERIMENTAL
SETUP
.
102
7.2.1
STUDY
SETUP
.
102
7.2.2
GEOMETRICAL
SETTINGS
.
103
7.2.3
PHANTOM
SELECTION
AND
DATA
SIMULATION
.
103
7.2.4
RECONSTRUCTION
METHODS
.103
7.2.5
FORWARD
PROJECTION
MODEL
.
104
7.3
CONCEPT
OF
ICD
PARAMETER
SELECTION
.
105
7.4
PART
I:
RECONSTRUCTION
WITH
STATISTICAL
WEIGHTS
.107
7.4.1
BOWTIE
FILTER
MODEL
.
107
7.4.2
EXPERIMENTAL
DETAILS
.
107
7.4.2.1
PARAMETER
SELECTION
.107
7.4.2.2
IMAGE
QUALITY
ASSESSMENT
.109
7.4.3
RESULTS
.110
7.4.3.1
INFLUENCE
OF
STATISTICAL
WEIGHTS
.
110
7.4.3.2
INFLUENCE
OF
STATISTICAL
WEIGHTS
AND
PENALTY
TERM
.
118
7.4.4
SUMMARY
DISCUSSION
.
122
7.5
PART
II:
RECONSTRUCTION
WITH
DATA
REDUNDANCIES
.
124
7.5.1
DATA
REDUNDANCY
HANDLING
.
125
7.5.2
EXPERIMENTAL
DETAILS
.
125
7.5.2.1
PARAMETER
SELECTION
.
125
7.5.2.2
IMAGE
QUALITY
ASSESSMENT
.
126
7.5.3
RESULTS
.
126
7.5.3.1
INFLUENCE
OF
STATISTICAL
WEIGHTS
.
126
7.5.3.2
INFLUENCE
OF
STATISTICAL
WEIGHTS
AND
PENALTY
TERM
.
133
7.5.4
SUMMARY
DISCUSSION
.
137
7.6
DISCUSSION
AND
CONCLUSION
.139
III
CHAPTER
8
FINESSE:
A
FAST
ITERATIVE
NON-LINEAR
EXACT
SUB-SPACE
SEARCH
BASED
ALGORITHM
141
8.1
MOTIVATION
AND
CLINICAL
APPLICATION
.
141
8.2
ALGORITHM
DESIGN
.142
8.2.1
PROBLEM
FORMULATION
.
142
8.2.2
DESCRIPTION
OF
FISTA
.142
8.2.3
DESCRIPTION
OF
FINESSE
.144
8.2.3.1
GENERAL
CONCEPT
.144
8.2.3.2
MATHEMATICAL
DESCRIPTION
.145
8.2.3.3
WHAT
SETS
FINESSE
APART
FROM
OTHER
ALGORITHMS
.
146
8.3
SIMULATION
STUDY
.147
8.3.1
EXPERIMENTAL
SETUP
.147
8.3.1.1
GEOMETRICAL
SETTINGS
.147
8.3.1.2
PHANTOM
SELECTION
AND
DATA
SIMULATION
.
148
8.3.1.3
FINESSE
SETTINGS
.148
8.3.1.4
RECONSTRUCTION
METHODS
.149
8.3.1.5
IMAGE
QUALITY
ASSESSMENT
.149
8.3.1.6
COMPUTATIONAL
COST
.
150
8.3.2
RESULTS
.150
8.3.3
SUMMARY
DISCUSSION
.
155
8.4
REAL
DATA
STUDY
.
157
8.4.1
MEASUREMENT
SETUP
.157
8.4.2
SCANNER
AND
PHANTOM
SELECTION
.157
8.4.2.1
FINESSE
SETTINGS
.158
8.4.2.2
RECONSTRUCTION
METHODS
.
159
8.4.3
RESULTS
.159
8.4.4
SUMMARY
DISCUSSION
.159
8.5
DISCUSSION
AND
CONCLUSION
.160
CHAPTER
9
SUMMARY
AND
OUTLOOK
163
9.1
SUMMARY
.163
9.2
OUTLOOK
.165
CHAPTER
A
PROOFS
AND
DERIVATIONS
167
A.L
PROOFS
FOR
THE
LANDWEBER
ALGORITHM
.167
LIST
OF
ABBREVIATIONS
AND
SYMBOLS
169
LIST
OF
FIGURES
177
LIST
OF
TABLES
181
LIST
OF
ALGORITHMS
183
BIBLIOGRAPHY
185
IV |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Hahn, Katharina |
| author_GND | (DE-588)1251578373 |
| author_facet | Hahn, Katharina |
| author_role | aut |
| author_sort | Hahn, Katharina |
| author_variant | k h kh |
| building | Verbundindex |
| bvnumber | BV047833394 |
| classification_rvk | ZN 6080 |
| ctrlnum | (OCoLC)1298746979 (DE-599)DNB1250594987 |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| discipline_str_mv | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV047833394 |
| illustrated | Illustrated |
| index_date | 2024-07-03T19:09:38Z |
| indexdate | 2024-07-10T09:22:36Z |
| institution | BVB |
| institution_GND | (DE-588)1065538812 |
| isbn | 9783832554439 3832554432 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033216620 |
| oclc_num | 1298746979 |
| open_access_boolean | |
| owner | DE-29 DE-29T DE-83 |
| owner_facet | DE-29 DE-29T DE-83 |
| physical | iv, 195 Seiten Illustrationen, Diagramme 21 cm x 14.5 cm |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Logos Verlag Berlin |
| record_format | marc |
| series | Studien zur Mustererkennung |
| series2 | Studien zur Mustererkennung |
| spelling | Hahn, Katharina (DE-588)1251578373 aut Statistical iterative reconstruction and dose reduction in multi-slice computed tomography Katharina Hahn Statistische iterative Rekonstruktion und Dosisreduktion in Multischicht Computertomographie Berlin Logos Verlag Berlin [2022] ©2022 iv, 195 Seiten Illustrationen, Diagramme 21 cm x 14.5 cm txt rdacontent n rdamedia nc rdacarrier Studien zur Mustererkennung Band 49 Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2021 Iteration (DE-588)4123457-1 gnd rswk-swf Bildrekonstruktion (DE-588)4145435-2 gnd rswk-swf Fehlende Daten (DE-588)4264715-0 gnd rswk-swf Computertomografie (DE-588)4113240-3 gnd rswk-swf Computed tomography Image reconstruction Iterative methods Forward projection Image quality (DE-588)4113937-9 Hochschulschrift gnd-content Computertomografie (DE-588)4113240-3 s Bildrekonstruktion (DE-588)4145435-2 s Iteration (DE-588)4123457-1 s DE-604 Fehlende Daten (DE-588)4264715-0 s Logos Verlag Berlin (DE-588)1065538812 pbl Studien zur Mustererkennung Band 49 (DE-604)BV013645858 49 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=f660a974d3234ced8d6d04bb6b6da93f&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033216620&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p vlb 20220129 DE-101 https://d-nb.info/provenance/plan#vlb |
| spellingShingle | Hahn, Katharina Statistical iterative reconstruction and dose reduction in multi-slice computed tomography Studien zur Mustererkennung Iteration (DE-588)4123457-1 gnd Bildrekonstruktion (DE-588)4145435-2 gnd Fehlende Daten (DE-588)4264715-0 gnd Computertomografie (DE-588)4113240-3 gnd |
| subject_GND | (DE-588)4123457-1 (DE-588)4145435-2 (DE-588)4264715-0 (DE-588)4113240-3 (DE-588)4113937-9 |
| title | Statistical iterative reconstruction and dose reduction in multi-slice computed tomography |
| title_alt | Statistische iterative Rekonstruktion und Dosisreduktion in Multischicht Computertomographie |
| title_auth | Statistical iterative reconstruction and dose reduction in multi-slice computed tomography |
| title_exact_search | Statistical iterative reconstruction and dose reduction in multi-slice computed tomography |
| title_exact_search_txtP | Statistical iterative reconstruction and dose reduction in multi-slice computed tomography |
| title_full | Statistical iterative reconstruction and dose reduction in multi-slice computed tomography Katharina Hahn |
| title_fullStr | Statistical iterative reconstruction and dose reduction in multi-slice computed tomography Katharina Hahn |
| title_full_unstemmed | Statistical iterative reconstruction and dose reduction in multi-slice computed tomography Katharina Hahn |
| title_short | Statistical iterative reconstruction and dose reduction in multi-slice computed tomography |
| title_sort | statistical iterative reconstruction and dose reduction in multi slice computed tomography |
| topic | Iteration (DE-588)4123457-1 gnd Bildrekonstruktion (DE-588)4145435-2 gnd Fehlende Daten (DE-588)4264715-0 gnd Computertomografie (DE-588)4113240-3 gnd |
| topic_facet | Iteration Bildrekonstruktion Fehlende Daten Computertomografie Hochschulschrift |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=f660a974d3234ced8d6d04bb6b6da93f&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033216620&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV013645858 |
| work_keys_str_mv | AT hahnkatharina statisticaliterativereconstructionanddosereductioninmultislicecomputedtomography AT logosverlagberlin statisticaliterativereconstructionanddosereductioninmultislicecomputedtomography AT hahnkatharina statistischeiterativerekonstruktionunddosisreduktioninmultischichtcomputertomographie AT logosverlagberlin statistischeiterativerekonstruktionunddosisreduktioninmultischichtcomputertomographie |