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GTC ON-DEMAND

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Abstract:
We'll discuss how the latest advances GPU technologies have have made it possible to reduce MRI scan time and increase reconstruction accuracy. These advances have added previously unseen capabilities to nuclear medical imaging by simulating photon trajectories with excellent precision and speed. They've also accelerated work in cancer therapy with real-time simulation of the physics of thermal tumor ablation. Learn how we've unleashed the potential of high performance computing and deep learning on GPUs to drive medical imaging innovation.
We'll discuss how the latest advances GPU technologies have have made it possible to reduce MRI scan time and increase reconstruction accuracy. These advances have added previously unseen capabilities to nuclear medical imaging by simulating photon trajectories with excellent precision and speed. They've also accelerated work in cancer therapy with real-time simulation of the physics of thermal tumor ablation. Learn how we've unleashed the potential of high performance computing and deep learning on GPUs to drive medical imaging innovation.  Back
 
Topics:
Medical Imaging & Radiology, AI in Healthcare, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9993
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Abstract:
NE Scientific is a startup company founded in 2012 and operating in the fields of Scientific Computing, Medical Image Analysis, Modeling, and Visualization. NE Scientific is currently engaged in projects for grading prostate cancer with Magnetic Resonance Imaging, and for imaging lungs in the intensive care unit with a novel imaging modality based on sensing tissues with low intensity electric fields. NE Scientific collaborates with Dartmouth College in US and with the University of Manchester in Europe. Recently NE Scientific has been sponsored by the National Cancer Institute for developing an intraoperative guidance platform for a specific cancer treatment called Radio Frequency Ablation, where Radio Frequency energy is used to kill malignant tissues by thermal ablation. In developing a planning / guidance platform for this application GPUs play a critical and enabling role: in order to guide the intervention it is necessary to solve an electrical/thermal coupled Partial Differential Equation several times per second. NE Scientific was able to secure funding by successfully demonstrating accelerated prototypes of the main algorithms involved.
NE Scientific is a startup company founded in 2012 and operating in the fields of Scientific Computing, Medical Image Analysis, Modeling, and Visualization. NE Scientific is currently engaged in projects for grading prostate cancer with Magnetic Resonance Imaging, and for imaging lungs in the intensive care unit with a novel imaging modality based on sensing tissues with low intensity electric fields. NE Scientific collaborates with Dartmouth College in US and with the University of Manchester in Europe. Recently NE Scientific has been sponsored by the National Cancer Institute for developing an intraoperative guidance platform for a specific cancer treatment called Radio Frequency Ablation, where Radio Frequency energy is used to kill malignant tissues by thermal ablation. In developing a planning / guidance platform for this application GPUs play a critical and enabling role: in order to guide the intervention it is necessary to solve an electrical/thermal coupled Partial Differential Equation several times per second. NE Scientific was able to secure funding by successfully demonstrating accelerated prototypes of the main algorithms involved.  Back
 
Topics:
Emerging Companies Summit, Computational Physics, Medical Imaging & Radiology
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
ECS5015
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