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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