Evidential reasoning based on interval-based Bayesian belief networks

Jin-Shin Chou; Wei-Chung Lin; Chin-Tu Chen; Shiuh-Yung James Chen

doi:10.1117/12.208719

12 May 1995 Evidential reasoning based on interval-based Bayesian belief networks

Jin-Shin Chou, Wei-Chung Lin, Chin-Tu Chen, Shiuh-Yung James Chen

Proceedings Volume 2434, Medical Imaging 1995: Image Processing; (1995) https://doi.org/10.1117/12.208719
Event: Medical Imaging 1995, 1995, San Diego, CA, United States

Abstract

We have developed interval-based Bayesian belief networks and used them in a medical image recognition system to identify brain anatomy in a set of multi-modality images. Head images from the multi-modalities of x-ray CT, proton density MR, and T2-weighted MR are used in the proposed medical image recognition system. To incorporate the capability of handling uncertainty in the medical image recognition system, we use interval-based probability to represent incomplete information and uncertain evidence and the interval-based Bayesian belief networks to provide the framework for evidence accumulation and spatial reasoning. In evidence accumulation, the regional information extracted from the CT and MR images is converted to evidence in the form of probability intervals and organized in a hierarchical structure. The evidence is integrated by the belief networks. In spatial reasoning, the knowledge of spatial relationships among objects is organized in hierarchical structure with pairwise spatial relationships. The interval-based Bayesian belief networks and a prediction box are combined to hypothesize the potential location and likelihood of the target object. In the proposed medical image system, the use of the interval-based Bayesian belief networks provides flexibility for representing and handling uncertain evidence and reduces the distraction in defining point probabilities for the domain knowledge. It also allows the proposed recognition system to perform reasoning efficiently and identify brain anatomy effectively.

Citation Download Citation

Jin-Shin Chou, Wei-Chung Lin, Chin-Tu Chen, and Shiuh-Yung James Chen "Evidential reasoning based on interval-based Bayesian belief networks", Proc. SPIE 2434, Medical Imaging 1995: Image Processing, (12 May 1995); https://doi.org/10.1117/12.208719

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KEYWORDS

Magnetic resonance imaging

Image segmentation

Head

Brain

Medical imaging

X-ray computed tomography

3D image processing

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