Wang Kang, Du Jiang, O'Halloran Rafael, Fain Sean, Kecskemeti Steven, Wieben Oliver, Johnson Kevin M, Mistretta Charles
Department of Medical Physics, University of Wisconsin-Madison, Madison 53705-2275, Wisconsin, USA.
Magn Reson Med. 2009 Jul;62(1):127-34. doi: 10.1002/mrm.21986.
Recently, the highly-constrained backprojection (HYPR) and HYPR with local reconstruction (HYPR LR) methods have been introduced to reconstruct magnitude images from a series of highly undersampled data while preserving high spatial and temporal resolution and high signal-to-noise ratio (SNR) in applications with spatiotemporal correlations. However, these conventional HYPR algorithms are limited to the generation of magnitude images and, therefore, have limitations in their potential applications. In this work, the HYPR LR algorithm has been modified to extend the use of algorithms in the HYPR family to applications that require processing of complex data, such as MR chemical shift imaging (CSI) or spectroscopic imaging. The proposed method processes the magnitude information the same way as in original HYPR LR processing. In addition, it improves the phase images by subtracting the phase map of a synthesized composite image. The feasibility and efficiency of this algorithm has been demonstrated on CSI of cortical bone, Achilles tendon, and a healthy volunteer on a clinical 3T scanner.
最近,高约束反投影(HYPR)和带局部重建的HYPR(HYPR LR)方法已被引入,用于从一系列高度欠采样的数据中重建幅度图像,同时在具有时空相关性的应用中保持高空间和时间分辨率以及高信噪比(SNR)。然而,这些传统的HYPR算法仅限于生成幅度图像,因此在其潜在应用中存在局限性。在这项工作中,对HYPR LR算法进行了修改,以将HYPR家族中的算法应用扩展到需要处理复杂数据的应用中,如磁共振化学位移成像(CSI)或光谱成像。所提出的方法以与原始HYPR LR处理相同的方式处理幅度信息。此外,它通过减去合成复合图像的相位图来改善相位图像。该算法的可行性和效率已在临床3T扫描仪上对皮质骨、跟腱和健康志愿者的CSI进行了验证。