MR‐based synthetic CT generation using a deep convolutional neural network method

Purpose Interests have been rapidly growing in the field of radiotherapy to replace CT with magnetic resonance imaging (MRI), due to superior soft tissue contrast offered by MRI and the desire to reduce unnecessary radiation dose. MR‐only radiotherapy also simplifies clinical workflow and avoids unc...

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Vydané v:	Medical physics (Lancaster) Ročník 44; číslo 4; s. 1408 - 1419
Hlavný autor:	Han, Xiao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.04.2017
Predmet:	Breast Neoplasms - diagnostic imaging convolutional neural network deep learning Humans Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional Magnetic Resonance Imaging MRI Neural Networks (Computer) radiation therapy synthetic CT Time Factors Tomography, X-Ray Computed deep learning synthetic CT MRI convolutional neural network radiation therapy
ISSN:	0094-2405, 2473-4209, 2473-4209
On-line prístup:	Získať plný text
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