Format

Send to

Choose Destination
Med Image Anal. 2013 Dec;17(8):1073-94. doi: 10.1016/j.media.2013.05.008. Epub 2013 Jun 5.

Medical image processing on the GPU - past, present and future.

Author information

1
Virginia Tech Carilion Research Institute, Virginia Tech, Roanoke, USA. Electronic address: andek034@gmail.com.

Abstract

Graphics processing units (GPUs) are used today in a wide range of applications, mainly because they can dramatically accelerate parallel computing, are affordable and energy efficient. In the field of medical imaging, GPUs are in some cases crucial for enabling practical use of computationally demanding algorithms. This review presents the past and present work on GPU accelerated medical image processing, and is meant to serve as an overview and introduction to existing GPU implementations. The review covers GPU acceleration of basic image processing operations (filtering, interpolation, histogram estimation and distance transforms), the most commonly used algorithms in medical imaging (image registration, image segmentation and image denoising) and algorithms that are specific to individual modalities (CT, PET, SPECT, MRI, fMRI, DTI, ultrasound, optical imaging and microscopy). The review ends by highlighting some future possibilities and challenges.

KEYWORDS:

CUDA; Graphics processing unit (GPU); Image processing; Image reconstruction; Medical imaging

PMID:
23906631
DOI:
10.1016/j.media.2013.05.008
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center