Can I read Texture Detection of Simulated Microcalcification Susceptibility Effects in Magnetic Resonance Imaging of Breasts on EtoBox?

Texture Detection of Simulated Microcalcification Susceptibility Effects in Magnetic Resonance Imaging of Breasts by David James; Bradley D. Clymer; Petra Schmalbrock is a Medicine article available to read on EtoBox.

What is Texture Detection of Simulated Microcalcification Susceptibility Effects in Magnetic Resonance Imaging of Breasts about?

## Abstract 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%. J. Magn. Reson. Imaging 2001;13:876–881. © 2001 Wiley‐Liss, Inc.

Who reads Texture Detection of Simulated Microcalcification Susceptibility Effects in Magnetic Resonance Imaging of Breasts?

Author

David James; Bradley D. Clymer; Petra Schmalbrock

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 1053-1807)

Published

2001

Language

EN

Field

Medicine (Health Sciences)