Comparison of Parallel Magnetic Resonance Imaging Algorithms: PILS and SENSE

Egehan Dorum, Mazlum Unay, Onan Guren, A. Akan
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Abstract

Magnetic Resonance (MR) imaging has always followed a developmental path by incorporating new algorithms in terms of image quality and imaging duration. In MR imaging performed in hospitals and clinics, the duration of imaging is an important consideration in terms of both for the comfort of the patient and the number of patients who can be taken daily. One of the approaches to shorten the imaging time is the parallel imaging method. After parallel imaging algorithms started being used, imaging duration up to 1 hour with traditional methods has been reduced to minutes or even seconds depending on the number of receiving coils and the type of algorithm used. In this paper; comparison of the widely used parallel imaging algorithms such as Partially Parallel Imaging With Localized Sensitivities (PILS), and Sensitivity Encoding (SENSE) and evaluation of advantages and disadvantages of these algorithms over each other were performed utilizing the numerical calculation software named MATLAB.
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并行磁共振成像算法的比较:PILS和SENSE
磁共振成像在图像质量和成像时间方面一直遵循新的算法发展路径。在医院和诊所进行磁共振成像时,成像时间是一个重要的考虑因素,既考虑到患者的舒适度,也考虑到每天可以接受治疗的患者人数。缩短成像时间的方法之一是并行成像方法。在并行成像算法开始使用后,根据接收线圈的数量和使用的算法类型,传统方法长达1小时的成像时间已经缩短到几分钟甚至几秒钟。在本文中;利用MATLAB数值计算软件,对目前广泛应用的局部灵敏度部分并行成像(partial parallel imaging With localization sensitions, PILS)和灵敏度编码(Sensitivity Encoding, SENSE)等并行成像算法进行了比较,并对这些算法的优缺点进行了评价。
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