Determination of Pelvic Orientation from Ultrasound Images Using Patch-SSMs and a Hierarchical Speed of Sound Compensation Strategy

Schumann, Steffen; Puls, Marc; Ecker, Timo; Schwaegli, Tobias; Stifter, Jan; Siebenrock, Klaus-Arno; Zheng, Guoyan (2010). Determination of Pelvic Orientation from Ultrasound Images Using Patch-SSMs and a Hierarchical Speed of Sound Compensation Strategy. In: Navab, Nassir; Jannin, Pierre (eds.) Information Processing in Computer-Assisted Interventions: IPCAI 2010. Lecture Notes in Computer Science: Vol. 6135 (pp. 157-167). Berlin Heidelberg: Springer 10.1007/978-3-642-13711-2_15

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In the field of computer assisted orthopedic surgery (CAOS) the anterior pelvic plane (APP) is a common concept to determine the pelvic orientation by digitizing distinct pelvic landmarks. As percutaneous palpation is - especially for obese patients - known to be error-prone, B-mode ultrasound (US) imaging could provide an alternative means. Several concepts of using ultrasound imaging to determine the APP landmarks have been introduced. In this paper we present a novel technique, which uses local patch statistical shape models (SSMs) and a hierarchical speed of sound compensation strategy for an accurate determination of the APP. These patches are independently matched and instantiated with respect to associated point clouds derived from the acquired ultrasound images. Potential inaccuracies due to the assumption of a constant speed of sound are compensated by an extended reconstruction scheme. We validated our method with in-vitro studies using a plastic bone covered with a soft-tissue simulation phantom and with a preliminary cadaver trial.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Orthopädische Chirurgie
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Orthopädische Chirurgie

UniBE Contributor:

Schumann, Steffen, Puls, Marc, Siebenrock, Klaus-Arno, Zheng, Guoyan

Subjects:

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

ISSN:

0302-9743

ISBN:

978-3-642-13711-2

Series:

Lecture Notes in Computer Science

Publisher:

Springer

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:08

Last Modified:

05 Dec 2022 14:00

Publisher DOI:

10.1007/978-3-642-13711-2_15

Web of Science ID:

000282467000015

BORIS DOI:

10.7892/boris.625

URI:

https://boris.unibe.ch/id/eprint/625 (FactScience: 199885)

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