期刊
JOURNAL OF MAGNETIC RESONANCE IMAGING
卷 13, 期 6, 页码 876-881出版社
JOHN WILEY & SONS INC
DOI: 10.1002/jmri.1125
关键词
breast cancer; microcalcification; texture; MRI susceptibility; neural network
The presence, size, structure and clustering characteristics of microcalcifications can indicate breast cancer. The magnetic susceptibility of microcalcifications differs from soft biological tissues, leading to directional blurring effects that can be detected by statistical Image processing methods. A study of the ability of statistical texture analysis to detect simulated localized blurring in magnetic resonance imaging (MRI) of dense breast is presented. This method can detect localized blurring with sensitivity of 88.89% to 94.44%, specificity of 99.72% to 100%, positive predictive value of 73.91% to 100% and negative predictive value of 99.91% to 99.95%. (C) 2001 Wiley-Liss, Inc.
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