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Abstract #4625

Computed DWI for breast cancer detection: improved fat suppression and lesion-to-background contrast with a novel low ADC pixel cut-off technique

Toshiki Kazama1, Taro Takahara2, Tetsu Niwa3, Jun Endo1, Hiroshi Yamamuro1, Tatsuya Sekiguchi1, Jun Hashimoto1, Thomas Kwee4, and Yutaka Imai1

1Diagnostic Radiology, Tokai University School of Medicine, Isehara, Japan, 2Tokai University, Hiratsuka, Japan, 3Tokai University School of Medicine, Isehara, Japan, 4University Medical Center Utrecht, Utrecht, Netherlands

When we calculate very high b-value images using computed diffusion-weighted imaging (cDWI), a tremendous number of bright pixels (noise) appears on the images and they disturb the visualization of lesions. Bright noise on high b-value images may be suppressed by cutting off pixels with very low ADC values. Because the ADC of fat is very low, unsuppressed fat signal can be deleted using the same technique. With appropriate use of the low ADC pixel cut-off technique on cDWI, diagnostic performance of cDWI of the breast may be improved.

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