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METHOD FOR IMAGE RECONSTRUCTION EMPLOYING SPARSITY-CONSTRAINED ITERATIVE CORRECTION

机译:稀疏约束迭代校正的图像重建方法

摘要

An image reconstruction method applicable to a number of different imaging modalities including magnetic resonance imaging (MRI), x-ray computed tomography (CT), positron emission tomography (PET), and single photon emission computed tomography (SPECT) is disclosed. A sparsifying image is reconstructed from a series of acquired undersampled data to provide a priori knowledge of a subject being imaged. An iterative reconstruction process is further employed to iteratively determine a correction image for a given image frame that, when subtracted from the sparsifying image, produces a quality image for the image frame.
机译:公开了适用于多种不同成像模态的图像重建方法,包括磁共振成像(MRI),X射线计算机断层摄影(CT),正电子发射断层摄影(PET)和单光子发射计算机断层摄影(SPECT)。从一系列获取的欠采样数据中重建稀疏图像,以提供对要成像的对象的先验知识。进一步采用迭代重建过程来迭代地确定给定图像帧的校正图像,当从稀疏图像中减去该校正图像时,产生用于该图像帧的高质量图像。

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