Towards Real-Time Computing of Intraoperative Hyperspectral Imaging for Brain Cancer Detection Using Multi-GPU Platforms

IEEE Access

卷:8

Emanuele Torti¹  Francesco Leporati¹  Giovanni Danese¹  Giordana Florimbi¹  Margarita Marrero-Martin²  Gustavo M. Callico²  Samuel Ortega²  Himar Fabelo² 

[1] Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy;

[2] Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, Spain;

关键词: Hyperspectral imaging;    high performance computing;    graphic processing unit;    parallel processing;    parallel architectures;    image processing;   

DOI  :  10.1109/ACCESS.2020.2963939

来源: DOAJ

【 摘 要 】

Several causes make brain cancer identification a challenging task for neurosurgeons during the surgical procedure. The surgeons' naked eye sometimes is not enough to accurately delineate the brain tumor location and extension due to its diffuse nature that infiltrates in the surrounding healthy tissue. For this reason, a support system that provides accurate cancer delimitation is essential in order to improve the surgery outcomes and hence the patient's quality of life. The brain cancer detection system developed as part of the “HypErspectraL Imaging Cancer Detection” (HELICoiD) European project meets this requirement exploiting a non-invasive technique suitable for medical diagnosis: the hyperspectral imaging (HSI). A crucial constraint that this system has to satisfy is providing a real-time response in order to not prolong the surgery. The large amount of data that characterizes the hyperspectral images, and the complex elaborations performed by the classification system make the High Performance Computing (HPC) systems essential to provide real-time processing. The most efficient implementation developed in this work, which exploits the Graphic Processing Unit (GPU) technology, is able to classify the biggest image of the database (worst case) in less than three seconds, largely satisfying the real-time constraint set to 1 minute for surgical procedures, becoming a potential solution to implement hyperspectral video processing in the near future.

【 授权许可】

Unknown