Improved Visualization of Middle Ear Cholesteatoma with Computed Diffusion-weighted Imaging

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

doi:10.2463/mrms.tn.2018-0068

Technical Note

Improved Visualization of Middle Ear Cholesteatoma with Computed Diffusion-weighted Imaging

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

Author information

Koji Yamashita
Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University
Akio Hiwatashi
Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University
Osamu Togao
Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University
Kazufumi Kikuchi
Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University
Yamato Shimomiya
Division of Marketing, Department of Clinical Application Development, Ziosoft, Inc.
Ryotaro Kamei
Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University
Daichi Momosaka
Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University
Nozomu Matsumoto
Department of Otorhinolaryngology, Graduate School of Medical Sciences, Kyushu University
Kouji Kobayashi
Department of Medical Technology, Kyushu University Hospital
Atsushi Takemura
Philips Healthcare
Thomas Christian Kwee
Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen
Taro Takahara
Department of Biomedical Engineering, Tokai University, School of Engineering
Hiroshi Honda
Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University

Keywords: cholesteatoma, diffusion weighted imaging, magnetic resonance imaging, middle ear, signal-to-noise ratio

JOURNAL OPEN ACCESS

2019 Volume 18 Issue 3 Pages 233-237

DOI https://doi.org/10.2463/mrms.tn.2018-0068

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Details

Abstract

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.

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