Segmentation of bony structures with ligament attachment sites
Segmentation of bony structures with ligament attachment sites
This work presents an approach towards reconstructing ligament and tendon attachment sites from 3D medical image data. We apply statistical shape models with an additional free form step to reconstruct the anatomical shape of the distal femur from CT data. After the shape fitting process the locations of ligament attachment sites, which are incorporated in the geometric model, are extracted and their positions optimized via an image based approach. To show the potential of our method we manually extracted the surface of 11 distal femora and their corresponding ligament attachment sites in clinical CT data and compared them to the results of our method.
207-211
Springer Berlin, Heidelberg
Seim, Heiko
0285f7e4-f20b-4741-be4d-5db686abf824
Lamecker, Hans
e3045683-3ead-414b-aaef-6ef5d292ca0f
Heller, Markus
3da19d2a-f34d-4ff1-8a34-9b5a7e695829
Zachow, Stefan
d3361c36-1a25-4c80-b246-58d9b0a6bdad
2008
Seim, Heiko
0285f7e4-f20b-4741-be4d-5db686abf824
Lamecker, Hans
e3045683-3ead-414b-aaef-6ef5d292ca0f
Heller, Markus
3da19d2a-f34d-4ff1-8a34-9b5a7e695829
Zachow, Stefan
d3361c36-1a25-4c80-b246-58d9b0a6bdad
Seim, Heiko, Lamecker, Hans, Heller, Markus and Zachow, Stefan
(2008)
Segmentation of bony structures with ligament attachment sites.
Tolxdorff, T., Braun, J., Deserno, T.M., Horsch, A., Handels, H. and Meinzer, H.P.
(eds.)
In Bildverarbeitung fur die Medizin 2008: Algorithmen - Systeme - Anwendungen.
Springer Berlin, Heidelberg.
.
(doi:10.1007/978-3-540-78640-5_42).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This work presents an approach towards reconstructing ligament and tendon attachment sites from 3D medical image data. We apply statistical shape models with an additional free form step to reconstruct the anatomical shape of the distal femur from CT data. After the shape fitting process the locations of ligament attachment sites, which are incorporated in the geometric model, are extracted and their positions optimized via an image based approach. To show the potential of our method we manually extracted the surface of 11 distal femora and their corresponding ligament attachment sites in clinical CT data and compared them to the results of our method.
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Published date: 2008
Venue - Dates:
Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2008 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2008, , Berlin, Germany, 2008-04-06 - 2008-04-08
Identifiers
Local EPrints ID: 415933
URI: http://eprints.soton.ac.uk/id/eprint/415933
PURE UUID: 956d61e2-0f65-4186-b545-5f85ee3145de
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Date deposited: 28 Nov 2017 17:31
Last modified: 16 Mar 2024 04:11
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Contributors
Author:
Heiko Seim
Author:
Hans Lamecker
Author:
Stefan Zachow
Editor:
T. Tolxdorff
Editor:
J. Braun
Editor:
T.M. Deserno
Editor:
A. Horsch
Editor:
H. Handels
Editor:
H.P. Meinzer
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