Improved visualization of middle ear cholesteatoma with computed diffusion-weighted imaging

Koji Yamashita, Hiwatashi Akio, Osamu Togao, Kazufumi Kikuchi, Yamato Shimomiya, Ryotaro Kamei, Daichi Momosaka, Nozomu Matsumoto, Kouji Kobayashi, Atsushi Takemura, Thomas Christian Kwee, Taro Takahara, Hiroshi Honda

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Computed DWI (cDWI) is a mathematical technique that calculates arbitrary higher b value images from at least two different lower b values. In addition, the removal of high intensity noise with image processing on cDWI could improve cholesteatoma-background contrast-to-noise ratio (CNR). In the present study, noise reduction was performed by the cut-off values of apparent diffusion coefficient (ADC) less than 0 and 0.4 × 10−3 s/mm2. The cholesteatoma to non-cholesteatoma CNR was increased using a noise reduction algorithm for clinical setting.

Original languageEnglish
Pages (from-to)233-237
Number of pages5
JournalMagnetic Resonance in Medical Sciences
Issue number3
Publication statusPublished - 2019

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging


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