Lecture: Advances in Infectious Disease Chest Imaging: From Acquisition modality, PACS, Reporting, to Machine Learning by Les R. Folio on 11/14/17

Advances in Infectious Disease Chest Imaging: From Acquisition modality, PACS, Reporting, to Machine Learning

Brown Bag Lecture by Les R. Folio | 11/14/2017 11:00AM – 12PM | 7th Floor Conference Room, Bldg 38A

Abstract

I will touch on imaging modalities to include the most common Chest X Ray (CXR) to the now routine CT. Following a review of advances such as dual energy and volumetric CT acquisition, I will show our latest PACS, our ‘window’ to imaging; now with advanced segmentation tools to include viable tumor volumetric analysis created at the clinical center. I will review our world’s first multimedia reporting with hyperlinked text to annotation, which is now in our third year. Finally, I will show how we are improving prior work on machine learning now that we have over 35,000 body CT exams with hundreds of thousands of annotations now related to our report language that can be semantically processed.

 

Bio:

Dr. Folio is the lead radiologist for Computed Tomography (CT) at the National Institutes of Health (NIH) Clinical Center in Bethesda, MD. He oversaw the planning and workflow optimization in the CT department demolition and renovation his first few years at NIH; resulting in a modern, spacious CT department with drastically improved inpatient and outpatient waiting areas with efficient sight lines for optimal workflow. He also overhauled hundreds of technical CT protocols to help reduce radiation dose, to the point of chest CT delivering a radiation exposure similar to a chest x-ray he reported for the first time in America (SCBT 2015). He recently published the successful CT dose reductions over the last 5 years as a benchmark for other radiology departments to reference (Radiation protection dosimetry. 2017 Jan).

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