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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Veröffentlicht in:	Medical physics (Lancaster) Jg. 44; H. 4; S. 1408 - 1419
1. Verfasser:	Han, Xiao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.04.2017
Schlagworte:	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
Online-Zugang:	Volltext
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