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

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

^*Corresponding author for this work

Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE)

Research output: Contribution to journal › Article › Academic › peer-review

3 Citations (Scopus)

90 Downloads (Pure)

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 x 10(-3) s/mm(2). The cholesteatoma to non-cholesteatoma CNR was increased using a noise reduction algorithm for clinical setting.

Original language	English
Pages (from-to)	233-237
Number of pages	5
Journal	Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Volume	18
Issue number	3
DOIs	https://doi.org/10.2463/mrms.tn.2018-0068
Publication status	Published - 2019

Keywords

cholesteatoma
diffusion weighted imaging
magnetic resonance imaging
middle ear
signal-to-noise ratio
TURBO SPIN-ECHO
SINGLE-SHOT
PLANAR

Access to Document

10.2463/mrms.tn.2018-0068Licence: CC BY-NC-ND

Improved Visualization of Middle Ear Cholesteatoma with Computed Diffusion-weighted ImagingFinal publisher's version, 3.16 MBLicence: CC BY-NC-ND

Handle.net

Persistent link

Cite this

Yamashita, K., Hiwatashi, A., Togao, O., Kikuchi, K., Shimomiya, Y., Kamei, R., Momosaka, D., Matsumoto, N., Kobayashi, K., Takemura, A., Kwee, T. C., Takahara, T., & Honda, H. (2019). Improved Visualization of Middle Ear Cholesteatoma with Computed Diffusion-weighted Imaging. Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 18(3), 233-237. https://doi.org/10.2463/mrms.tn.2018-0068

@article{c4a5b7d1096f4bb29b8c51935b86f2dd,

title = "Improved Visualization of Middle Ear Cholesteatoma with Computed Diffusion-weighted Imaging",

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 x 10(-3) s/mm(2). The cholesteatoma to non-cholesteatoma CNR was increased using a noise reduction algorithm for clinical setting.",

keywords = "cholesteatoma, diffusion weighted imaging, magnetic resonance imaging, middle ear, signal-to-noise ratio, TURBO SPIN-ECHO, SINGLE-SHOT, PLANAR",

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

year = "2019",

doi = "10.2463/mrms.tn.2018-0068",

language = "English",

volume = "18",

pages = "233--237",

journal = "Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine",

issn = "1347-3182",

publisher = "JPN SOC MAGNETIC RESONANCE MEDICINE",

number = "3",

}

Yamashita, K, Hiwatashi, A, Togao, O, Kikuchi, K, Shimomiya, Y, Kamei, R, Momosaka, D, Matsumoto, N, Kobayashi, K, Takemura, A, Kwee, TC, Takahara, T & Honda, H 2019, 'Improved Visualization of Middle Ear Cholesteatoma with Computed Diffusion-weighted Imaging', Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, vol. 18, no. 3, pp. 233-237. https://doi.org/10.2463/mrms.tn.2018-0068

Improved Visualization of Middle Ear Cholesteatoma with Computed Diffusion-weighted Imaging. / Yamashita, Koji; Hiwatashi, Akio; Togao, Osamu et al.
In: Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, Vol. 18, No. 3, 2019, p. 233-237.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Improved Visualization of Middle Ear Cholesteatoma with Computed Diffusion-weighted Imaging

AU - Yamashita, Koji

AU - Hiwatashi, Akio

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

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 x 10(-3) s/mm(2). 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 x 10(-3) s/mm(2). The cholesteatoma to non-cholesteatoma CNR was increased using a noise reduction algorithm for clinical setting.

KW - cholesteatoma

KW - diffusion weighted imaging

KW - magnetic resonance imaging

KW - middle ear

KW - signal-to-noise ratio

KW - TURBO SPIN-ECHO

KW - SINGLE-SHOT

KW - PLANAR

U2 - 10.2463/mrms.tn.2018-0068

DO - 10.2463/mrms.tn.2018-0068

M3 - Article

SN - 1347-3182

VL - 18

SP - 233

EP - 237

JO - Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine

JF - Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine

IS - 3

ER -

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

Abstract

Keywords

Access to Document

Handle.net

Fingerprint

Cite this