Technical Note: U-net-generated synthetic CT images for magnetic resonance imaging-only prostate intensity-modulated radiation therapy treatment planning.

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Abstract

Clinical implementation of magnetic resonance imaging (MRI)-only radiotherapy requires a method to derive synthetic CT image (S-CT) for dose calculation. This study investigated the feasibility of building a deep convolutional neural network for MRI-based S-CT generation and evaluated the dosimetric accuracy on prostate IMRT planning.

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Author and article information

Journal

Journal ID (iso-abbrev): Med Phys

Title: Medical physics

Publisher: Wiley

ISSN (Electronic): 2473-4209

ISSN (Print): 0094-2405

Publication date (Electronic): Dec 2018

Volume: 45

Issue: 12

Affiliations

[1 ] Department of Radiation Oncology, William Beaumont Hospital, 3601 W. 13 Mile Rd, Royal Oak, MI, 48073, USA.

[2 ] Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.

Article

DOI: 10.1002/mp.13247

PubMed ID: 30341917

SO-VID: 452e50fc-2d3c-4b8c-8ba9-686633eb276a

History

Keywords: deep learning,prostate,synthetic CT,IMRT,U-net

Data availability:

Keywords: deep learning, prostate, synthetic CT, IMRT, U-net

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