B, 54pt
2014.06.20CSED451 Term ProjectJaeyong Jeong 20130906Minsung Sung
201203353D Reconstruction of realistic cardiac geometry from
medical images. 3 .1BackgroundSet of 2D slices3D model3D
reconstructionImage-based diagnosis for the heart has been done
with selected 2D slices of the medical image.
This method has difficulty in making morphological
diagnosis.Utility of the medical image is improved.
Accuracy of diagnosis and surgical planning is improved.
MRI, CT, MRI, CT . . MRI CT 3 . 3 3 . , , , . . . medical image
3 .2Heart ModelingSTEP 1: Acquisition of MR images
Resolution: 1.36mm (in plane)8.00mm (between slices)Higher
resolution on a longitudinal axis is required(Sunnybrook Health
Science Centre, Toronto, 2009) , Sunnybrook Health Science Centre
MRI . MICCAI left ventricle segmentation challenge . MRI data 2d
slice , voxel . long axis , MRI . MRI , .3Heart ModelingSTEP 1:
Acquisition of MR images
Resolution: 1.36mm (in plane)8.00mm (between slices)Higher
resolution on a longitudinal axis is required(Sunnybrook Health
Science Centre, Toronto, 2009)
MRI 50 20 20 20 . . x,y z coarse . voxel isotropic . 3 . . z .
interpolation . .4
Heart ModelingSTEP 2: Segmentation of MR imagesLeft
ventricleRight ventricle
. segmentation , . . . GUI Matlab GUI segmentation . contour
.5Heart ModelingSTEP 3: Define signed distance functionDistance
function, dSigned distance function, ififif contour signed distance
transform . pixel pixel pixel assign . pixel distance + . 0 .
6Heart ModelingSTEP 3: Define signed distance functionAssign a
signed distance to every grid points on every slices.
slice signed distance transform scalar field .7Heart
ModelingSTEP 4: Contour interpolation
Signed distances on neighbor slices are interpolated to refine
resolution between slices.
Catmull-Rom spline method is used.Slice 1Slice NSlice
2Interpolation-(1/2)(E. Catmull and R. Rom, A Class of Local
Interpolating Splines CAGD, 1974) signed distance transform
distance value , z . Interpolation distance field , zero level
contour . interpolation Catmull-Rome spline .8Heart ModelingSTEP 4:
Contour interpolation
A sagittal planeA stack of slices without contour interpolationA
stack of slices with contour interpolation-(2/2) , interpolation .
Z voxel . interpolation . .9Heart ModelingSTEP 5: Mesh generation
Mesh is generated from voxel data for rendering.
Marching cube algorithm is used.(W. E. Lorensen and H. E. Cline,
Marching Cubes: A high resolution 3D surface construction algorithm
SIGGRAPH, 1987)
voxel data. Rendering vertex, edge, face polygon mesh . Marching
cube. 8 scalar value iso-value 0 1 15 configuration . . low-pass
filter high frequency noise .10Heart ModelingSTEP 6:
Visualization
AortaLeft ventricle
Left ventricle . .11
Heart ModelingSTEP 6: VisualizationPulmonary arteryRight
ventricle
Right ventricle . 12Heart ModelingSTEP 7: animation
3D . MRI 50 . 20 . phase animation . temporal aliasing .13Future
workTemporal interpolation
Semi-automated segmentation interpolation . 0 50 . segmentation
, . segmentation .14Q&A15Thank you16
