Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks

Purpose To quickly and automatically propagate organ contours from pretreatment to fraction images in magnetic resonance (MR)‐guided prostate external‐beam radiotherapy. Methods Five prostate cancer patients underwent 20 fractions of image‐guided external‐beam radiotherapy on a 1.5 T MR‐Linac system...

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Vydané v:	Medical physics (Lancaster) Ročník 47; číslo 3; s. 1238 - 1248
Hlavní autori:	Eppenhof, K.A.J., Maspero, M., Savenije, M.H.F., de Boer, J.C.J., van der Voort van Zyp, J.R.N., Raaymakers, B.W., Raaijmakers, A.J.E., Veta, M., van den Berg, C.A.T., Pluim, J.P.W.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States John Wiley and Sons Inc 01.03.2020
Predmet:	contour propagation deep learning Dose Fractionation, Radiation EMERGING IMAGING AND THERAPY MODALITIES Humans Image Processing, Computer-Assisted - methods image registration Magnetic Resonance Imaging Male MR-guided radiotherapy Neural Networks, Computer prostate Prostatic Neoplasms - diagnostic imaging Prostatic Neoplasms - radiotherapy Radiotherapy, Image-Guided Time Factors MR-guided radiotherapy contour propagation deep learning prostate image registration
ISSN:	0094-2405, 2473-4209, 2473-4209
On-line prístup:	Získať plný text
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