A fuzzy logic approach to identifying brain structures in MRI using expert anatomic knowledge. Academic Article

abstract

• We report a novel computer method for automatic labeling of structures in 3D MRI data sets using expert anatomical knowledge that is coded in fuzzy sets and fuzzy rules. The method first identifies major structures and then uses spatial relationships to these landmarks to recognize other structures. This labeling process simulates the iterative process that we ourselves use to locate structures in images. We demonstrate its application in three data sets, labeling brain MRI by locating the longitudinal and lateral fissures and the central sulci and then determining boundaries for the frontal lobes. Our method is adaptable to the identification of other anatomical structures.

authors

• Kent, Thomas

published proceedings

• Comput Biomed Res

author list (cited authors)

• Hillman, G. R., Chang, C. W., Ying, H., Yen, J., Ketonen, L., & Kent, T. A.

citation count

• 8

complete list of authors

• Hillman, GR||Chang, CW||Ying, H||Yen, J||Ketonen, L||Kent, TA

publication date

• December 1999

publisher

• Elsevier  Publisher

published in

• Journal of Biomedical Informatics  Journal

keywords

• Brain
• Computer Simulation
• Data Interpretation, Statistical
• Expert Systems
• Fuzzy Logic
• Humans
• Magnetic Resonance Imaging
• Models, Anatomic
• Models, Neurological

PubMed Central ID

• 10587468

Digital Object Identifier (DOI)

• 10.1006/cbmr.1999.1516

start page

• 503

end page

• 516

volume

• 32

issue

• 6

URL

• http://dx.doi.org/10.1006/cbmr.1999.1516