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

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 pres...

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Detalles Bibliográficos
Autores principales: Yamashita, Koji, Hiwatashi, Akio, Togao, Osamu, Kikuchi, Kazufumi, Shimomiya, Yamato, Kamei, Ryotaro, Momosaka, Daichi, Matsumoto, Nozomu, Kobayashi, Kouji, Takemura, Atsushi, Kwee, Thomas Christian, Takahara, Taro, Honda, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society for Magnetic Resonance in Medicine 2018
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630047/
https://www.ncbi.nlm.nih.gov/pubmed/30518733
http://dx.doi.org/10.2463/mrms.tn.2018-0068
Descripción
Sumario: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/mm(2). The cholesteatoma to non-cholesteatoma CNR was increased using a noise reduction algorithm for clinical setting.

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