Segmentation of 3D Tubular Tree Structures in Medical Images ...

More documents

Recommendations

Info

64 Chapter 3. Grouping and Linkage into Connected Networks would combine the advantages of both approaches.
Chapter 4 Tube Segmentation Contents 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 4.2 Inverse Gradient Vector Flow Tracking . . . . . . . . . . . . . . 66 4.3 Graph Cut Based Tree Segmentation . . . . . . . . . . . . . . . 68 4.4 Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70 4.5 Discussion and Conclusion . . . . . . . . . . . . . . . . . . . . . . 74 4.1 Introduction In the last two chapters, we presented methods for the extraction of structural representations of tubular tree structures. The derived representations consist of centerlines/skeletons usually associated with a radius and tangent direction estimate for each centerline point. Such a representation can be seen as a segmentation result [18, 68], however, this information does not accurately represent the actual surfaces of the tubular objects. The known structures could be utilized as a good initialization for a segmentation method (e.g., levelsets) to obtain more accurate segmentations. However, most segmentation methods do not necessarily preserve the topology of the already known tree structure as the methods may still show leakage (additional branches in the tree) or holes/gaps in the segmentation results (unconnected branches in the tree). In this chapter, we are concerned with methods to obtain accurate segmentations related to already known tubular structures that make use of the already known information in such a way that the topology is preserved. 65
Page 1:
Graz University of Technology Insti
Page 5 and 6:
Abstract The segmentation of tubula
Page 7 and 8:
Kurzfassung Die Segmentierung tubul
Page 9:
Acknowledgements I am deeply gratef
Page 13 and 14:
Contents 1 Introduction 1 1.0.1 Req
Page 15:
CONTENTS xv 8 Conclusion and Outloo
Page 18 and 19:
xviii LIST OF FIGURES 4.2 Shape pri
Page 21:
List of Tables 3.1 Average centerli
Page 24 and 25:
2 Chapter 1. Introduction (a) Porta
Page 26 and 27:
4 Chapter 1. Introduction (a) Volum
Page 28 and 29:
6 Chapter 1. Introduction (a) Inacc
Page 30 and 31:
8 Chapter 1. Introduction features
Page 32 and 33:
10 Chapter 1. Introduction 1.1.2 Di
Page 34 and 35:
12 Chapter 1. Introduction Input vo
Page 36 and 37: 14 Chapter 1. Introduction part: Me
Page 38 and 39: 16 Chapter 1. Introduction in the l
Page 40 and 41: 18 Chapter 2. Extraction of Tubular
Page 70 and 71: 48 Chapter 3. Grouping and Linkage
Page 88 and 89: 66 Chapter 4. Tube Segmentation Onl
Page 90 and 91: 68 Chapter 4. Tube Segmentation obt
Page 92 and 93: 70 Chapter 4. Tube Segmentation ass
Page 94 and 95: 72 Chapter 4. Tube Segmentation (a)
Page 96 and 97: 74 Chapter 4. Tube Segmentation Tab
Page 99 and 100: Chapter 5 Liver Vascular Tree Segme
Page 101 and 102: 5.2. Method 79 (a) MIP of the datas
Page 103 and 104: 5.3. Evaluation and Results 81 5.3.
Page 105 and 106: 5.3. Evaluation and Results 83 cent
Page 107 and 108: 5.3. Evaluation and Results 85 (a)
Page 115 and 116: 5.4. Discussion 93 results. Selle
Page 117: 5.5. Conclusion 95 a prior to const
Page 120 and 121: 98 Chapter 6. Coronary Artery Tree
Page 131 and 132: Chapter 7 Airway Tree Segmentation
Page 133 and 134: 7.2. Methods 111 shown in Fig. 7.1.
Page 135 and 136: 7.2. Methods 113 Additionally, the
Page 137 and 138:
7.3. Evaluation and Results 115 Gro
Page 139 and 140:
7.3. Evaluation and Results 117 Tab
Page 141 and 142:
7.4. Discussion 119 Figure 7.5: “
Page 143 and 144:
7.5. Conclusion 121 Comparison to o
Page 145 and 146:
7.5. Conclusion 123 Figure 7.6: Exa
Page 147 and 148:
Chapter 8 Conclusion and Outlook Co
Page 149 and 150:
8.1. Conclusion 127 arteries - info
Page 151:
8.2. Directions for Future Work 129
Page 154 and 155:
132 Chapter A. List of Publications
Page 157 and 158:
BIBLIOGRAPHY 135 Bibliography [1] A
Page 159 and 160:
BIBLIOGRAPHY 137 [21] Choyke, P., Y
Page 161 and 162:
BIBLIOGRAPHY 139 [41] Florin, C., P
Page 163 and 164:
BIBLIOGRAPHY 141 [63] Kitslaar, P.
Page 165 and 166:
BIBLIOGRAPHY 143 [85] Lindeberg, T.
Page 167 and 168:
BIBLIOGRAPHY 145 [108] O’Donnell,
Page 169 and 170:
BIBLIOGRAPHY 147 [129] Schmugge, S.
Page 171 and 172:
BIBLIOGRAPHY 149 [150] van Bemmel,
Page 173:
BIBLIOGRAPHY 151 [171] Yi, J. and R
show all

Segmentation of 3D Tubular Tree Structures in Medical Images ...

Create successful ePaper yourself

Delete template?

Save as template?