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A survey of GPU-based medical image computing techniques.

Lin Shi1, Wen Liu, Heye Zhang

  • 1Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China; ; CUHK Shenzhen Research Institute, Shenzhen, Guangdong Province, P.R. China; ; Shenzhen Institute of Advanced Integration Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, P.R. China.

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Summary
This summary is machine-generated.

Graphics processing units (GPUs) accelerate demanding medical image processing tasks. This survey reviews GPU advancements and applications in segmentation, registration, and visualization for medical research and clinical practice.

Keywords:
Graphics processing unit (GPU)high-performance computingimage registrationimage segmentationimage visualization

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Area of Science:

  • Medical Imaging and Image Processing
  • High-Performance Computing
  • Computational Science

Background:

  • Medical imaging is vital for research, diagnostics, and treatment planning.
  • Processing large 3D medical datasets is computationally intensive.
  • Graphics Processing Units (GPUs) offer powerful parallel processing capabilities for demanding tasks.

Purpose of the Study:

  • To provide a comprehensive reference for researchers in GPU-based medical image processing.
  • To review the advancements in GPU computing for medical imaging.
  • To survey current applications of GPUs in medical image segmentation, registration, and visualization.

Main Methods:

  • Literature review of GPU computing advancements.
  • Survey of traditional medical image processing applications (segmentation, registration, visualization).
  • Analysis of existing GPU-based implementations in these areas.

Main Results:

  • GPUs have become a competitive platform for computationally expensive medical imaging tasks.
  • Significant progress has been made in applying GPUs to medical image segmentation, registration, and visualization.
  • GPU acceleration offers substantial performance improvements for 3D medical image processing.

Conclusions:

  • GPU-based medical image processing is a rapidly advancing field with significant potential.
  • Further research is needed to address the challenges and fully leverage GPU capabilities in clinical applications.
  • This survey serves as a valuable resource for researchers entering the field of GPU-accelerated medical imaging.