cuda_spotlight

CUDA Spotlight: GPU-Accelerated Cancer Detection

Diego Rivera HeadshotThis week’s Spotlight is on Diego Rivera, a senior software engineer at Hologic, Inc. Hologic is a leading developer of medical imaging systems and surgical products, with an emphasis on serving the healthcare needs of women throughout the world.

The following is an excerpt from our interview (you can read the complete Spotlight here).

NVIDIA: Diego, tell us about your role at Hologic.
Diego: I’m part of a team that has been able to deliver great solutions for breast cancer detection. I’m a lead engineer in design and implementation of GPU-accelerated high-performance applications in the areas of tomosynthesis (3D-mammography), digital mammography, computer-aided design, and specimen radiography systems.

NVIDIA: What are some key challenges in your field?
Diego: With all the advantages of the digital era, film-based mammography has not yet vanished. Introducing a new modality such as tomosynthesis is challenging because the new capabilities have also led to new image management requirements (in areas such as storage, image reviewing and vendor viewing interoperability).

Despite the challenges, the tomosynthesis modality has proved more advantageous in early detection of cancer cases than the usage of standard digital images and has the potential of reducing the number of false positives. Our goal is to enable everyone to embrace this medium.

Hologic's Selenia Dimensions 3D Breast Tomosynthesis System
Hologic’s Selenia Dimensions 3D Breast Tomosynthesis System

NVIDIA: What role does GPU computing play in your work?
Diego: It has allowed us to process and reprocess images in real time. The impact of this is that there is no wait time added for screening and diagnostic results, which in turn minimizes the patient’s anxiety.

One of our objectives is to improve the patient experience by controlling dose and time in compression without sacrificing image quality. Real-time tomosynthesis would simply not be possible without GPUs. Our solution is deployed in a variety of hospitals and health care centers, including Massachusetts General Hospital and Bethesda Women’s Health Center. Continue reading