4.7 Article

Texture detection of simulated microcalcification susceptibility effects in magnetic resonance imaging of breasts

期刊

JOURNAL OF MAGNETIC RESONANCE IMAGING
卷 13, 期 6, 页码 876-881

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JOHN WILEY & SONS INC
DOI: 10.1002/jmri.1125

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breast cancer; microcalcification; texture; MRI susceptibility; neural network

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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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