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We are Drs. Michael Hansen and Andrew Arai, researchers from the NIH. We study cardiac MRI among other things. We are supporting new forms of scientific computing via the Data Science Bowl with Dr. Roman Salasznyk and Booz Allen Hamilton
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Abstract

I (Michael Hansen) am a biomedical engineer at the National Heart, Lung, and Blood Institute (NHLBI). I focus on fast magnetic resonance imaging (MRI) techniques for real-time imaging and interventional procedures, particularly fast pulse sequences, non-Cartesian imaging, real-time reconstruction, GPU based reconstruction, and motion correction. Andrew Arai - I am a cardiologist and I am the Director of the Advanced Cardiovascular Imaging Laboratory for the National Heart, Lung and Blood Institute. My primary clinical and research interests center around coronary artery disease, the condition that leads to heart attacks and is one of the leading causes of death worldwide. For the 21 years I have been at the NIH, I have been helping develop and validate MRI methods useful to diagnosing and evaluating patients with coronary artery disease. We run a busy clinical program and perform over 1000 cardiac MRI scans per year. Roman Salasznyk - I am a Principal in Booz Allen’s Strategic Innovation Group with over 13 years of experience in biomedical research, medical product development, and general management consulting. I manage a multidisciplinary team that supports initiatives aimed to expedite medical product innovation and approvals, enhance regulatory decision-making processes, and strengthen surveillance and compliance operations for Federal health clients. The three of us, and our respective organizations, have collaborated on an exciting crowd-sourced collaboration, the the Data Science Bowl on kaggle. By putting data science to work in the cardiology field, we can empower doctors to help people live longer and spend more time with those that they love. Dr. Salasznyk: On behalf of the Data Science team at Booz Allen, thank you for your interest in the Data Science Bowl and this year’s heart health-focused challenge. To learn more about this year’s competition or to submit your ideas on next year’s Data Science Bowl challenge—-a problem with the potential to change the world–visit our web site: datasciencebowl.com Dr Hansen here: Thank you for the great questions. They really covered a wide range of cardiology, technology, and engineering. I hope questions and answers will inspire data scientists, engineers, and physicians to get involved in cardiac MRI research. There are many unsolved problems with potential impact in patient lives. Dr. Arai here – Thank you all for your interesting questions. It was hard to predict how many people would submit questions and comments. It was nice to see the breadth of both technical and clinical questions. It is hard to pick a favorite but hearing about long term survivors with cancer and congenital heart disease are heartening. Many of the technical questions about speed and comfort of MRI relate to research being performed at NIH and many other institutions around the world. Faster imaging that does not rely on breath holds is a major direction for the future. Better quality imaging hopefully will continue to improve patient outcomes. Edit: Adding link to the Data Science Bowl site and competition page.