&lt;title&gt;Image understanding, visualization, registration, and data fusion of biomedical brain images (Abstract Only)&lt;/title&gt;

Gershon, Nahum; Cappelletti, J.; Hinds, Stuart C.; Glenn, Marcus E.

doi:10.1117/12.47975

Cited by 1 publication

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“…(1ong et al [6] use thresholding methods to extract the major brain landmarks and different types of lessons from various types of MR images. Recently, several expert vision systems [8][9][10] have been developed to analyze human l)rain structures by integrating data from PET and MRI. The common feature of these systems is that they are only focused on the processing of a single modality.…”

Section: Introductionmentioning

confidence: 99%

<title>Bayesian belief networks for medical image recognition</title>

Hwang¹,

Lin²,

Chen

et al. 1993

SPIE Proceedings

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In this paper, we propose the interval-based Bayesian belief networks and then use them as the inference scheme in a. medical image recognition system. To integrate knowledges fron various sources, the blackboard architecture is used as the framework. The ProI)osed system consists of three phases. In phase one, three correlated images acquired from x-ray CT, proton density and T2-weighted MRI of a humaii brain are presented to the system. A signal-based segmentation algorithm is then employed to (livide each image into regions of homogeneous attributes. In phase two, the system tries to identify the major anatomica.l structures and locate the slice in the model that is most similar to the image set under study. To accomplish this work, one Bayesian belief network is constructed to integrate evidence from various sensor slices and the feature spaces for each anatomy and the other belief network is designed for opportunistic control in the blackboard system. In phase three, the selected model slice is used to guide the process of refining the recognized anatomies. 0-8194-1 138-8/93/$6.00 SPIE Vol. 1905 /615 Downloaded From: http://proceedings.spiedigitallibrary.org/ on 06/29/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx

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