Biomechanical registration of prostate images using statistical shape models

Patrick Courtis; Abbas Samani

doi:10.1117/12.655071

13 March 2006 Biomechanical registration of prostate images using statistical shape models

Patrick Courtis, Abbas Samani

Proceedings Volume 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images; 614311 (2006) https://doi.org/10.1117/12.655071
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Proper targeting of radiation therapy during the treatment of prostate cancer requires the successful alignment of initial planning images with more recent ones taken during the treatment course. Prostatic displacement, if unaccounted for during the treatment course, can lead to radiation underdosage of the target area or radiation of the surrounding healthy tissue. Studies have shown that prostatic displacement is directly correlated with changes in the volume of the rectum. We have developed a non-rigid image registration system based on a biomechanical model of the prostate, rectum, and surrounding tissues, that incorporates statistical shape information about changes in the volume of the rectum. Using finite-element analysis and statistical shape models, our non-rigid registration method defines a mapping between two prostate image volumes. The proposed method assumes that the prostate image misregistration occurs as a result of changes in the rectum's shape. The change along the rectum's circumference was considered as the displacement boundary condition of the prostate's finite element model. As such we used a mutual information similarity measure in conjunction with the finite element model for computing the optimal boundary condition as well as estimating the location and relative Young's modulus of the central and peripheral zones within the prostate to the surrounding tissue. Compared to other techniques, this registration technique is not only efficient but also capable of providing valuable mechanical properties of tissue in vivo.

Citation Download Citation

Patrick Courtis and Abbas Samani "Biomechanical registration of prostate images using statistical shape models", Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 614311 (13 March 2006); https://doi.org/10.1117/12.655071

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available