Improved accuracy of apparent diffusion coefficient quantification using a fully automatic noise bias compensation method: Preliminary evaluation in prostate diffusion weighted imaging.

Zhong, Xiaodong; Dale, Brian M; Nickel, Marcel D; Kannengiesser, Stephan A R; Kiefer, Berthold; Bashir, Mustafa

Zhong, Xiaodong; Dale, Brian M; Nickel, Marcel D; Kannengiesser, Stephan A R; Kiefer, Berthold; Bashir, Mustafa.

Affiliation

Zhong X; MR R&D Collaborations, Siemens Healthcare, Los Angeles, CA, United States. Electronic address: xiaodong.zhong@siemens.com.
Dale BM; MR R&D Collaborations, Siemens Healthcare, Cary, NC, United States.
Nickel MD; MR Application Development, Siemens Healthcare GmbH, Erlangen, Germany.
Kannengiesser SAR; MR Application Development, Siemens Healthcare GmbH, Erlangen, Germany.
Kiefer B; MR Application Development, Siemens Healthcare GmbH, Erlangen, Germany.
Bashir M; Department of Radiology, Duke University Medical Center, Durham, NC, United States; Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, United States.

J Magn Reson ; 305: 22-30, 2019 08.

Article in En | MEDLINE | ID: mdl-31158792

Subject(s)

Diffusion Magnetic Resonance Imaging/methods; Image Enhancement/methods; Prostatic Neoplasms/diagnostic imaging; Aged; Algorithms; Humans; Male; Monte Carlo Method; Phantoms, Imaging; Prospective Studies; Signal-To-Noise Ratio

Key words

ADC; Diffusion; Endorectal coil; Noise bias; Prostate; Quantification

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Image Enhancement / Diffusion Magnetic Resonance Imaging Type of study: Guideline / Health_economic_evaluation / Observational_studies Limits: Aged / Humans / Male Language: En Journal: J Magn Reson Journal subject: DIAGNOSTICO POR IMAGEM Year: 2019 Type: Article

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