Virtual performance assessment of 3D quantification systems

Jose Gerardo Tamez-Pena; Monica Barbu-McInnis; Amy L. Lerner; Saara Totterman

doi:10.1117/12.595299

6 April 2005 Virtual performance assessment of 3D quantification systems

Jose Gerardo Tamez-Pena, Monica Barbu-McInnis, Amy L. Lerner, Saara Totterman

Proceedings Volume 5749, Medical Imaging 2005: Image Perception, Observer Performance, and Technology Assessment; (2005) https://doi.org/10.1117/12.595299
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

This work presents a system for realistic computer simulations of quantification systems from three-dimensional (3D) medical images. The system is based on accurate computer models of anatomical parts derived from 3D medical images. The models can be realistically manipulated in the virtual domain reflecting actual scan-rescan situations. The manipulated object can be used to reconstruct 3D images. Furthermore, the model can be used to simulate observer segmentations of the reconstructed anatomy. Because segmentations are fundamental for comprehensive quantification of anatomical structures quantifications performances can be derived from the simulated segmentations. The proposed simulation system has been used to predict joint space width variations between two different imaging protocols without the need of analyzing several volunteers' scans. The system has been used to predict intra observer performance helping in the selection of the best imaging protocol. Performance results and comparison with actual scan rescan performance evaluations are presented.

Citation Download Citation

Jose Gerardo Tamez-Pena, Monica Barbu-McInnis, Amy L. Lerner, and Saara Totterman "Virtual performance assessment of 3D quantification systems", Proc. SPIE 5749, Medical Imaging 2005: Image Perception, Observer Performance, and Technology Assessment, (6 April 2005); https://doi.org/10.1117/12.595299

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