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3D Reconstruction of the Human Rib Cage from 2D Projection ... - ZIB

3D Reconstruction of the Human Rib Cage from 2D Projection ... - ZIB

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List <strong>of</strong> Figures<br />

1.1 Subtraction images to detect interval changes . . . . . . . . . . . . . 2<br />

1.2 Assessing <strong>3D</strong> pose differences . . . . . . . . . . . . . . . . . . . . . . 3<br />

1.3 The general idea <strong>of</strong> <strong>the</strong> reconstruction scheme . . . . . . . . . . . . . 5<br />

2.1 Components <strong>of</strong> <strong>the</strong> rib cage . . . . . . . . . . . . . . . . . . . . . . . 7<br />

2.2 Standard posterior-anterior and lateral X-ray images . . . . . . . . . 8<br />

2.3 The cortical bone layer . . . . . . . . . . . . . . . . . . . . . . . . . . 9<br />

2.4 Spot <strong>the</strong> difference – toy example for a subtraction image . . . . . . 10<br />

2.5 Impact <strong>of</strong> differences in <strong>the</strong> patient’s <strong>3D</strong> pose to <strong>2D</strong> image registration 11<br />

2.6 Temporal subtraction CAD system . . . . . . . . . . . . . . . . . . . 12<br />

3.1 Image acquisition geometry for stereo-radiographs, Delorme et al. . . 14<br />

3.2 <strong>Reconstruction</strong> <strong>of</strong> <strong>the</strong> rib midlines, Benameur et al. . . . . . . . . . . 14<br />

3.3 <strong>3D</strong> template fitting according to Koehler et al. . . . . . . . . . . . . 15<br />

3.4 Shape reconstruction <strong>of</strong> <strong>the</strong> pelvis according to Lamecker et al. . . . 17<br />

3.5 <strong>3D</strong> to <strong>3D</strong> correspondence building according to Zhang et al. . . . . . 21<br />

3.6 Point correspondences . . . . . . . . . . . . . . . . . . . . . . . . . . 21<br />

4.1 Scheme <strong>of</strong> <strong>the</strong> SSM-based reconstruction process . . . . . . . . . . . 23<br />

4.2 Camera model for perspective projections . . . . . . . . . . . . . . . 31<br />

4.3 <strong>Projection</strong> <strong>of</strong> an SSM . . . . . . . . . . . . . . . . . . . . . . . . . . 32<br />

5.1 Statistical shape model <strong>of</strong> <strong>the</strong> ribs . . . . . . . . . . . . . . . . . . . 36<br />

5.2 Symmetric distance measure . . . . . . . . . . . . . . . . . . . . . . . 38<br />

5.3 Silhouette normals to avoid contour mismatches . . . . . . . . . . . . 38<br />

5.4 Initialization using <strong>the</strong> lung fields . . . . . . . . . . . . . . . . . . . . 40<br />

5.5 Initialization using a subset <strong>of</strong> <strong>the</strong> rib cage model . . . . . . . . . . . 41<br />

6.1 Plot <strong>of</strong> individual pose parameters . . . . . . . . . . . . . . . . . . . 44<br />

6.2 Plot <strong>of</strong> <strong>the</strong> objective function based on an area overlap . . . . . . . . 45<br />

6.3 Plot <strong>of</strong> <strong>the</strong> area-extended distance da . . . . . . . . . . . . . . . . . 45<br />

6.4 Sampling for <strong>the</strong> distance measure DA with de and labeled ribs . . . 46<br />

6.5 Distance measures and possible mis-adaptations . . . . . . . . . . . . 47<br />

6.6 Virtual image acquisition setup . . . . . . . . . . . . . . . . . . . . . 49<br />

6.7 Segmentation <strong>of</strong> <strong>the</strong> lung fields . . . . . . . . . . . . . . . . . . . . . 50<br />

6.8 Shape <strong>Reconstruction</strong> <strong>from</strong> one PA-image . . . . . . . . . . . . . . . 54<br />

6.9 Results <strong>of</strong> combined pose and shape reconstructions with labeled ribs 55<br />

6.10 Results <strong>of</strong> combined pose and shape reconstructions with unlabeled ribs 55<br />

6.11 X-ray image <strong>of</strong> <strong>the</strong> phantom and manual segmentation <strong>of</strong> <strong>the</strong> ribs . . 56<br />

6.12 CT-data <strong>of</strong> <strong>the</strong> thorax phantom . . . . . . . . . . . . . . . . . . . . . 57<br />

6.13 Exemplary pose reconstruction results <strong>of</strong> two phantom images . . . . 58<br />

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