MRI Image Super Resolution through Filter Learning Based on Surrounding Gradient Information in 3D SpaceThree-dimensional high-resolution magnetic resonance imaging (MRI) provides fine-level anatomical information for disease diagnosis. However, there is a limitation in obtaining high resolution due to the...
基于参考图像的超分辨率重建(Reference-based Super-Resolution,RefSR)技术在图像重建过程中,通过引入与低分辨率图像具有相似纹理或内容结构的参考图像,将参考图像的高频细节迁移到低分辨率图像(low-resolution,LR)中,从而获得高分辨率图像。 二、项目难点 【清晰重建MRI图像细节与边缘】 【提升重建MRI图像的高频细节丰富度...
基于参考图像的超分辨率重建(Reference-based Super-Resolution,RefSR)技术在图像重建过程中,通过引入与低分辨率图像具有相似纹理或内容结构的参考图像,将参考图像的高频细节迁移到低分辨率图像(low-resolution,LR)中,从而获得高分辨率图像。 二、项目难点 【清晰重建MRI图像细节与边缘】 【提升重建MRI图像的高频细节丰富度...
image superresolution and compressive sensing magnetic resonance imaging (MRI) reconstruction, and that they outperform more conventional sparsity-inducing methods... G Zhang,N Kingsbury - 《Digital Signal Processing》 被引量: 9发表: 2015年 加载更多来源...
resolution of MRI images. Recently,deep learninghas yielded many impressive results in MRI image super-resolution (SR) reconstruction. However, current SR networks mainly use convolutions to extract relatively single image features, which may not be optimal for further enhancing the quality of image ...
Image super-resolution via a novel cascaded convolutional neural network framework Due to excellent self-learning ability, deep convolutional neural networks (CNNs) are successfully employed in the field of single image super-resolution (... Z Fu,N Cai,G Cen,... - 《Signal Processing Image Comm...
【7】Oktay, Ozan, et al. "Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks."MICCAI2016. 【8】 Hou, Benjamin, et al. "Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion."arXiv preprint arXiv:1702.08891(2017). ...
2021-09-22-Task Transformer Network for Joint MRI Reconstruction and Super-Resolution(arXiv2021) Abstrct 磁共振成像(MRI)的核心问题是加快图形合成速度和图像质量之间的权衡。 图像重建 image reconstruction和图像超分辨率是MRI的两个主要技术。前者通过减少 k 空间采样率来加速 MRI。后者通过恢复单个退化的低分辨...
Single Image Super-Resolution (SISR) which aims to recover a high resolution (HR) image from a low-resolution (LR) image has a wide range of medical applications. In this paper, we present a novel...doi:10.1007/978-981-10-7554-4_42Liu, Jia...
【7】Oktay, Ozan, et al. "Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks."MICCAI2016. 【8】 Hou, Benjamin, et al. "Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion."arXiv preprint arXiv:1702.08891(2017). ...