Posted by anderc8 on Thursday, February 2, 2017 in News, TIPs 2015.

Written by Bennett Landman, Ph.D. 

As an initial member of the Vanderbilt Institute on Surgery and Engineering, the Medical-image Analysis and Statistical Interpretation (MASI) lab seeks to transform medical imaging from pixels to information to improve patient care. We lead Personalized Medicine with Medical Imaging Informatics (PM²I²) efforts in translational research to explore innovative, clinically useful techniques. Our primary technical innovations are in medical image processing informatics and algorithms so that domain experts can efficiently develop, evaluate, and deploy methods for diverse anatomical and clinical scenarios using big imaging data. PM²I² methodological research focuses on robust image content analysis, modern statistical methods, and imaging informatics to create, investigate, and apply big imaging data to improve patient care.

The primary hypothesis underlying this research is that accurate modeling of the data creation processes leads to efficient characterization of image-based structures, and, in turn, improves the information available for guiding medical science and interventional planning. In the past 6 years, we have transformed the scale of medical image processing possible at Vanderbilt and dramatically reduced the barriers to using medical image processing in clinical and basic science studies. Scores of researchers use our systems on a daily basis. With a small core team of engineers, students, and research assistants, we rapidly investigate new, interesting hypotheses, ranging from brain connectomics and optic nerve disease to abdominal fat and renal drainage.

Learn more about the MASI lab by watching this video.

For more information about VISE, please visit us at www.vanderbilt.edu/vise and follow us on our social media channels:
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