Go to  Advanced Search

Multi-slice to volume registration of ultrasound data to a statistical atlas of human pelvis.

Show full item record

Files in this item

Files Size Format Description   View
Abolmaesumi_SPIE_7625_76250O.pdf 1.146Mb Adobe Portable Document Format   View/Open
 
Title: Multi-slice to volume registration of ultrasound data to a statistical atlas of human pelvis.
Author: Ghanavati, Sahar; Mousavi, Parvin; Fichtinger, Gabor; Foroughi, Pezhman; Abolmaesumi, Purang
Issue Date: 2010
Publicly Available in cIRcle 2011-08-16
Publisher Society of Photo-Optical Instrumentation Engineers
Citation: Ghanavati, Sahar; Mousavi, Parvin; Fichtinger, Gabor; Foroughi, Pezhman; Abolmaesumi, Purang. Multi-slice to volume registration of ultrasound data to a statistical atlas of human pelvis. Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, edited by Kenneth H. Wong, Michael I. Miga, Proceedings of SPIE, Volume 7625, 76250O, 2010. http://dx.doi.org/10.1117/12.844080
Abstract: Identifying the proper orientation of the pelvis is a critical step in accurate placement of the femur prosthesis in the acetabulum in Total Hip Replacement (THR) surgeries. The general approach to localize the orientation of the pelvis coordinate system is to use X-ray fluoroscopy to guide the procedure. An alternative can be employing intra-operative ultrasound (US) imaging with pre-operative CT scan or fluoroscopy imaging. In this paper, we propose to replace the need of pre-operative imaging by using a statistical shape model of the pelvis, constructed from several CT images. We then propose an automatic deformable intensity-based registration of the anatomical atlas to a sparse set of 2D ultrasound images of the pelvis in order to localize its anatomical coordinate system. In this registration technique, we first extract a set of 2D slices from a single instance of the pelvic atlas. Each individual 2D slice is generated based on the location of a corresponding 2D ultrasound image. Next, we create simulated ultrasound images out of the 2D atlas slices and calculate a similarity metric between the simulated images and the actual ultrasound images. The similarity metric guides an optimizer to generate an instance of the atlas that best matches the ultrasound data. We demonstrated the feasibility of our proposed approach on two male human cadaver data. The registration was able to localize a patient-specific pelvic coordinate system with origin translation error of 2 mm and 3.45 mm, and average axes rotation error of 3.5 degrees and 3.9 degrees for the two cadavers, respectively. Copyright 2010 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Affiliation: Electrical and Computer Engineering, Dept of
URI: http://hdl.handle.net/2429/36694
Peer Review Status: Reviewed
Scholarly Level: Faculty

This item appears in the following Collection(s)

Show full item record

All items in cIRcle are protected by copyright, with all rights reserved.

UBC Library
1961 East Mall
Vancouver, B.C.
Canada V6T 1Z1
Tel: 604-822-6375
Fax: 604-822-3893