Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images

•A novel fully convolutional network to segment perivascular spaces in 7T MR images.•Multi-channel inputs to afford tubular structural information and fine image details.•Multi-scale features to characterize associations between PVSs and adjacent tissues.•Auto-context strategy to provide auxiliary g...

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Veröffentlicht in:	Medical image analysis 2018-05, Vol.46, p.106-117
Hauptverfasser:	Lian, Chunfeng, Zhang, Jun, Liu, Mingxia, Zong, Xiaopeng, Hung, Sheng-Che, Lin, Weili, Shen, Dinggang
Format:	Artikel
Sprache:	eng
Schlagworte:	7T MR images Algorithms Artificial neural networks Brain Brain - diagnostic imaging Brain mapping Deep learning Fourier transforms Fully convolutional networks Humans Image enhancement Image Enhancement - methods Image filters Image processing Image segmentation Imaging, Three-Dimensional - methods Localization Lymphatic System - diagnostic imaging Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Morphology Multiscale analysis Neural networks Neural Networks, Computer NMR Nuclear magnetic resonance Pattern Recognition, Automated - methods Perivascular spaces Radiology Reproducibility of Results Segmentation Sensitivity and Specificity
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