TY - JOUR
T1 - Improved visualization of middle ear cholesteatoma with computed diffusion-weighted imaging
AU - Yamashita, Koji
AU - Akio, Hiwatashi
AU - Togao, Osamu
AU - Kikuchi, Kazufumi
AU - Shimomiya, Yamato
AU - Kamei, Ryotaro
AU - Momosaka, Daichi
AU - Matsumoto, Nozomu
AU - Kobayashi, Kouji
AU - Takemura, Atsushi
AU - Kwee, Thomas Christian
AU - Takahara, Taro
AU - Honda, Hiroshi
N1 - Publisher Copyright:
© 2018 Japanese Society for Magnetic Resonance in Medicine.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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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U2 - 10.2463/mrms.tn.2018-0068
DO - 10.2463/mrms.tn.2018-0068
M3 - Article
C2 - 30518733
AN - SCOPUS:85069891601
SN - 1347-3182
VL - 18
SP - 233
EP - 237
JO - Magnetic Resonance in Medical Sciences
JF - Magnetic Resonance in Medical Sciences
IS - 3
ER -