SYSTEMS AND METHODS FOR DEBLURRING MEDICAL IMAGES USING DEEP NEURAL NETWORK

The title of the invention is systems and methods for deblurring medical images using deep neural networks. Methods and systems are provided for deblurring medical images using deep neural networks. In one embodiment, a method for deblurring a medical image comprises receiving a blurred medical imag...

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Hauptverfasser: LITWILLER DANIEL VANCE, LEBEL ROBERT MARC
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The title of the invention is systems and methods for deblurring medical images using deep neural networks. Methods and systems are provided for deblurring medical images using deep neural networks. In one embodiment, a method for deblurring a medical image comprises receiving a blurred medical image and one or more acquisition parameters corresponding to acquisition of the blurred medical image,incorporating the one or more acquisition parameters into a trained deep neural network, and mapping, by the trained deep neural network, the blurred medical image to a deblurred medical image. The deep neural network may thereby receive at least partial information regarding the type, extent, and/or spatial distribution of blurring in a blurred medical image, enabling the trained deep neural network to selectively deblur the received blurred medical image. 本发明题为"用于使用深度神经网络对医疗图像进行去模糊的系统和方法"。本发明提供了用于使用深度神经网络对医疗图像进行去模糊的方法和系统。在一个实施方案中,一种用于对医疗图像进行去模糊的方法包括:接收模糊医疗图像和对应于该模糊医疗图像的采集的一个或多个采集参数;将该一个或多个采集参数结合到经训练的深度神经网络中;以及由该经训练的