Fully Automatic CT Segmentation for Computer-Assisted Pre-operative Planning of Hip Arthroscopy

Chu, Chengwen; Chen, Cheng; Zheng, Guoyan (2014). Fully Automatic CT Segmentation for Computer-Assisted Pre-operative Planning of Hip Arthroscopy. In: Luo, Xiongbiao; Reichl, Tobias; Mirota, Daniel; Soper, Timothy (eds.) CARE 2014, LNCS 8899. Lecture Notes in Computer Science: Vol. 8899 (pp. 55-63). Cham: Springer 10.1007/978-3-319-13410-9_6

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Extraction of both pelvic and femoral surface models of a hip joint from CT data for computer-assisted pre-operative planning of hip arthroscopy is addressed. We present a method for a fully automatic image segmentation of a hip joint. Our method works by combining fast random forest (RF) regression based landmark detection, atlas-based segmentation, with articulated statistical shape model (aSSM) based hip joint reconstruction. The two fundamental contributions of our method are: (1) An improved fast Gaussian transform (IFGT) is used within the RF regression framework for a fast and accurate landmark detection, which then allows for a fully automatic initialization of the atlas-based segmentation; and (2) aSSM based fitting is used to preserve hip joint structure and to avoid penetration between the pelvic and femoral models. Validation on 30 hip CT images show that our method achieves high performance in segmenting pelvis, left proximal femur, and right proximal femur surfaces with an average accuracy of 0.59 mm, 0.62 mm, and 0.58 mm, respectively.

Item Type:

Book Section (Book Chapter)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB

UniBE Contributor:

Chu, Chengwen; Chen, Cheng and Zheng, Guoyan

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISSN:

0302-9743

ISBN:

978-3-319-13409-3

Series:

Lecture Notes in Computer Science

Publisher:

Springer

Language:

English

Submitter:

Guoyan Zheng

Date Deposited:

01 May 2015 15:59

Last Modified:

25 Nov 2015 10:48

Publisher DOI:

10.1007/978-3-319-13410-9_6

BORIS DOI:

10.7892/boris.67979

URI:

https://boris.unibe.ch/id/eprint/67979

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