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Proceedings Paper

Statistical atlas based extrapolation of CT data
Author(s): Gouthami Chintalapani; Ryan Murphy; Robert S. Armiger; Jyri Lepisto; Yoshito Otake; Nobuhiko Sugano; Russell H. Taylor; Mehran Armand
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Paper Abstract

We present a framework to estimate the missing anatomical details from a partial CT scan with the help of statistical shape models. The motivating application is periacetabular osteotomy (PAO), a technique for treating developmental hip dysplasia, an abnormal condition of the hip socket that, if untreated, may lead to osteoarthritis. The common goals of PAO are to reduce pain, joint subluxation and improve contact pressure distribution by increasing the coverage of the femoral head by the hip socket. While current diagnosis and planning is based on radiological measurements, because of significant structural variations in dysplastic hips, a computer-assisted geometrical and biomechanical planning based on CT data is desirable to help the surgeon achieve optimal joint realignments. Most of the patients undergoing PAO are young females, hence it is usually desirable to minimize the radiation dose by scanning only the joint portion of the hip anatomy. These partial scans, however, do not provide enough information for biomechanical analysis due to missing iliac region. A statistical shape model of full pelvis anatomy is constructed from a database of CT scans. The partial volume is first aligned with the statistical atlas using an iterative affine registration, followed by a deformable registration step and the missing information is inferred from the atlas. The atlas inferences are further enhanced by the use of X-ray images of the patient, which are very common in an osteotomy procedure. The proposed method is validated with a leave-one-out analysis method. Osteotomy cuts are simulated and the effect of atlas predicted models on the actual procedure is evaluated.

Paper Details

Date Published: 27 February 2010
PDF: 10 pages
Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 762539 (27 February 2010); doi: 10.1117/12.845570
Show Author Affiliations
Gouthami Chintalapani, The Johns Hopkins Univ. (United States)
Ryan Murphy, The Johns Hopkins Univ. (United States)
Robert S. Armiger, The Johns Hopkins Univ. (United States)
Jyri Lepisto, Pjhlajalinna Hospital (Finland)
Yoshito Otake, The Johns Hopkins Univ. (United States)
Nobuhiko Sugano, Osaka Univ. Graduate School of Medicine (Japan)
Russell H. Taylor, The Johns Hopkins Univ. (United States)
Mehran Armand, The Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 7625:
Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; Michael I. Miga, Editor(s)

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