naamiinepal / xrayto3D-morphometry

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explore: automated rib cage morphometry #21

Open msrepo opened 1 year ago

msrepo commented 1 year ago

Description

what aspects of the rib cage mesh can be automatically measured?

Possible references: 3D reconstruction of the ribs from lateral and frontal X-rays in comparison to 3D CT-scan reconstruction

image image

Dansereau, J., Stokes, I.A., 1988. Measurements of the three-dimensional shape of the rib cage. J. Biomech. 21 (11), 893–901 image

bishesh commented 1 year ago

Topology? How well individual ribs are separated and are not wrongly fractured/broken?

msrepo commented 1 year ago

Start with Groundtruth segmentation: Obviously, we can do manual endpoint marking to obtain rib centerlines and then obtain required metrics. How far can we automate this? image also, caveat: vmtkCenterLine tool requires each sub-rib to be processed individually rather than in batch, which is cumbersome. refer: https://discourse.itk.org/t/centerline-extraction/4885/8

msrepo commented 1 year ago

How are the clinical metrics useful? Answer: https://www.sciencedirect.com/science/article/abs/pii/S0021929007004241 image image

msrepo commented 1 year ago
msrepo commented 1 year ago

there will be issues in extracting centerline if there are segmentation issues image there is a need to postprocess even groundtruth segmentation image some segmentations do not look like anatomically valid ribs. Lets keep in mind how many of these cases we come across.

msrepo commented 1 year ago

fit a polynomial curve to the centerline image sometimes you do not get a centerline curve but do get a network model. why is that? case in point: Endpoints 3 image Final result image

msrepo commented 1 year ago

need to define the order in which the endpoints are picked. We will later need to compare the groundtruth with the model prediction at which point we do not want to solve the corresponding point problem.

msrepo commented 1 year ago