A complete-pelvis segmentation framework for image-free total hip arthroplasty (THA): methodology and clinical study

Xie, Weiguo; Franke, Jochen; Chen, Cheng; Grützner, Paul A.; Schumann, Steffen; Nolte, Lutz-Peter; Zheng, Guoyan (2014). A complete-pelvis segmentation framework for image-free total hip arthroplasty (THA): methodology and clinical study. International journal of medical robotics and computer assisted surgery, 11(2), pp. 166-180. Wiley 10.1002/rcs.1619

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Background Complete-pelvis segmentation in antero-posterior pelvic radiographs is required to create a patient-specific three-dimensional pelvis model for surgical planning and postoperative assessment in image-free navigation of total hip arthroplasty. Methods A fast and robust framework for accurately segmenting the complete pelvis is presented, consisting of two consecutive modules. In the first module, a three-stage method was developed to delineate the left hemipelvis based on statistical appearance and shape models. To handle complex pelvic structures, anatomy-specific information processing techniques were employed. As the input to the second module, the delineated left hemi-pelvis was then reflected about an estimated symmetry line of the radiograph to initialize the right hemi-pelvis segmentation. The right hemi-pelvis was segmented by the same three-stage method, Results Two experiments conducted on respectively 143 and 40 AP radiographs demonstrated a mean segmentation accuracy of 1.61±0.68 mm. A clinical study to investigate the postoperative assessment of acetabular cup orientations based on the proposed framework revealed an average accuracy of 1.2°±0.9° and 1.6°±1.4° for anteversion and inclination, respectively. Delineation of each radiograph costs less than one minute. Conclusions Despite further validation needed, the preliminary results implied the underlying clinical applicability of the proposed framework for image-free THA.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research

UniBE Contributor:

Xie, Weiguo; Chen, Cheng; Schumann, Steffen; Nolte, Lutz-Peter and Zheng, Guoyan

Subjects:

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

ISSN:

1478-5951

Publisher:

Wiley

Language:

English

Submitter:

Guoyan Zheng

Date Deposited:

01 May 2015 16:35

Last Modified:

25 Nov 2015 10:49

Publisher DOI:

10.1002/rcs.1619

PubMed ID:

25258044

BORIS DOI:

10.7892/boris.67993

URI:

https://boris.unibe.ch/id/eprint/67993

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