使用多于一个处理器来计算以便克服构成整体作业的不同医学成像方法的复杂性的方法被称为基于GPU(图形处理单元)的并行处理。它对于图像分类等几种医学成像技术都是极其重要的,物体检测,图像分割,注册,和基于内容的图像检索,由于基于GPU的并行处理方法允许软件进行时间高效的计算,允许一次完成多个计算。另一方面,可以描绘人体的解剖结构和生物进步的非侵入性成像技术被称为磁共振成像(MRI)。使用医学成像技术在脑MRI分析中实施基于GPU的并行处理方法可能有助于实现即时和及时的图像捕获。因此,这篇扩展的综述(IWBBIO2023会议论文的扩展)提供了对文献的全面概述,重点是利用上述成像技术扩展使用基于GPU的并行处理方法进行脑部MRI的医学分析,鉴于需要更快的计算来获得医学中的早期和实时反馈。在2019年至2023年之间,我们检查了文献矩阵中包含任务的文章,技术,MRI序列,和处理结果。因此,本综述中讨论的方法展示了迄今为止在最小化计算运行时间方面取得的进步,以及未来仍需解决的障碍和问题。
The approach of using more than one processor to compute in order to overcome the complexity of different medical imaging methods that make up an overall job is known as GPU (graphic processing unit)-based parallel processing. It is extremely important for several medical imaging techniques such as image classification, object detection, image segmentation, registration, and content-based image retrieval, since the GPU-based parallel processing approach allows for time-efficient computation by a software, allowing multiple computations to be completed at once. On the other hand, a non-invasive imaging technology that may depict the shape of an anatomy and the biological advancements of the human body is known as magnetic resonance imaging (MRI). Implementing GPU-based parallel processing approaches in brain MRI analysis with medical imaging techniques might be helpful in achieving immediate and timely image capture. Therefore, this extended review (the extension of the IWBBIO2023 conference paper) offers a thorough overview of the literature with an emphasis on the expanding use of GPU-based parallel processing methods for the medical analysis of brain MRIs with the imaging techniques mentioned above, given the need for quicker computation to acquire early and real-time feedback in medicine. Between 2019 and 2023, we examined the articles in the literature matrix that include the tasks, techniques, MRI sequences, and processing results. As a result, the methods discussed in this review demonstrate the advancements achieved until now in minimizing computing runtime as well as the obstacles and problems still to be solved in the future.