Three-Dimensional Stochastic Organ-Models For Segmentation In CT-Scans

Nico Karssemeijer

doi:10.1117/12.950468

14 April 1989 Three-Dimensional Stochastic Organ-Models For Segmentation In CT-Scans

Nico Karssemeijer

Proceedings Volume 1030, Biostereometrics '88; (1989) https://doi.org/10.1117/12.950468
Event: Biostereometrics '88: Spatial and Spatiotemporal Analysis of Biological Form and Function, 1988, Basel, Switzerland

Abstract

A statistically based relaxation method is applied to segmentation of abdominal X-ray CT-scans. To incorporate prior knowledge about the anatomical structure a stochastic model representing the geometry of the abdomen is used. Properties of each tissue class with respect to X-ray imaging are modelled by mean grey value distributions. The performance of the segmentation procedure has been tested on a set of 18 scan-sequences.

Citation Download Citation

Nico Karssemeijer "Three-Dimensional Stochastic Organ-Models For Segmentation In CT-Scans", Proc. SPIE 1030, Biostereometrics '88, (14 April 1989); https://doi.org/10.1117/12.950468

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