Probabilistic method for virtual colonoscopy cleansing

Iwo Serlie; Roel Truyen; Geert de Vries; Frits H. Post; Frans M. Vos

doi:10.1117/12.480403

2 May 2003 Probabilistic method for virtual colonoscopy cleansing

Iwo Serlie, Roel Truyen, Geert de Vries, Frits H. Post, Frans M. Vos

Proceedings Volume 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications; (2003) https://doi.org/10.1117/12.480403
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

Currently, virtual colonoscopy examinations require extensive bowel preparation because residual materials can occlude lesions or can be misinterpreted as polyps. Our goal is to investigate a probabilistic method to segment contrast enhanced residual materials and remove them from the rendering. The region around a sample position is modeled to contain mixtures of air, tissue and tagged intraluminal remains. For each image sample a probability vector is calculated expressing the probability that the materials of interest are present. A probability space is defined using the probabilities for pure materials as base vectors. Mixture vectors are constructed at 45-degree angles between the pure material vectors. The probability vectors are compared to the base vectors and the mixture vectors to classify them into material mixtures. Consider the layer between air and tagged fluid. Image intensities are similar to tissue. The scale at which the Gaussian averaged probability is calculated is increased until convergence: two successive scales result in the same classification. The Bayesian classification method shows good results with relatively large objects. However, edges of small or thin objects are likely to be misclassified: a too large environment is needed for convergence.

Citation Download Citation

Iwo Serlie, Roel Truyen, Geert de Vries, Frits H. Post, and Frans M. Vos "Probabilistic method for virtual colonoscopy cleansing", Proc. SPIE 5031, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, (2 May 2003); https://doi.org/10.1117/12.480403

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