Eric Barnes

Image Processing
So many advanced images, so little time
Thursday, December 3 | 10:30 a.m.-12:00 p.m. | RCC52C | Room S501ABCThis review course will survey the landscape of advanced imaging techniques and explain how different types of images are useful in different settings.
November 9, 2015
Advanced Visualization
Bone mets no match for hybrid 3D hot-spot analysis of PET/CT
Wednesday, December 2 | 12:45 p.m.-1:15 p.m.| NM223-SD-WEB11 | Room S503ABA technique that identifies bone metastasis "hot spots" automatically from PET/CT could vastly improve radiologists' ability to diagnose and follow up patients with bone cancer.
November 9, 2015
Advanced Visualization
Gaze-tracking system offers insight into image reading
Wednesday, December 2 | 11:50 a.m.-12:00 p.m. | SSK06-09 | Room E351In this session, Japanese researchers will describe their development of a gaze-tracking system that monitors where -- and for how long -- radiologists look for abnormalities on CT colonography images.
November 9, 2015
AI
Supine-only CTC with CAD drops radiation dose
Wednesday, December 2 | 11:40 a.m.-11:50 a.m. | SSK06-08 | Room E351Supine-only reading of CT colonography (CTC) data with computer-aided detection (CAD) could potentially enable single-position CTC exams, cutting both radiation dose and reading time in half, according to researchers from Massachusetts General Hospital.
November 9, 2015
Advanced Visualization
Automated 3D volumetry-based MRI reveals pulmonary hypertension
Wednesday, December 2 | 11:00 a.m.-11:10 a.m. | SSK04-04 | Room S504AB3D automated volumetry of the heart with MRI can diagnose and exclude pulmonary hypertension noninvasively, according to researchers from the University of Heidelberg and three other institutions.
November 9, 2015
Advanced Visualization
3D printing technologies improve cardiovascular care
Tuesday, December 1 | 4:30 p.m.-6:00 p.m. | RC412D | Room S504ABThis review course will provide an overview of the wide range of technologies and applications of 3D printing for cardiovascular care.
November 9, 2015
Image Processing
Aortic imaging goes (way) beyond diameter measures
Tuesday, December 1 | 4:30 p.m.-6:00 p.m. | RC412A | Room S504ABThere's much more to aortic imaging than vessel diameter, according to a review course on aortic imaging that launches an advanced vascular imaging session on Tuesday.
November 9, 2015
Image Processing
Researchers model breast CT compression, deformation
Tuesday, December 1 | 11:30 a.m.-11:40 a.m. | SSG16-07 | Room S502ABResearchers are working toward automated lesion segmentation in breast image analysis, but targeting breast compression and localization is the first step -- and the subject of this presentation from the University of Michigan.
November 9, 2015
Image Processing
Automated pancreatic segmentation could aid diabetes, cancer diagnosis
Tuesday, December 1 | 10:50 a.m.-11:00 a.m. | SSG16-03 | Room S502ABIn this session, researchers from the U.S. National Institutes of Health will discuss an automated pancreatic segmentation scheme that could help diagnose diabetes and pancreatic cancer.
November 9, 2015
Advanced Visualization
Electronic cleansing for CTC minimizes artifacts
Tuesday, December 1 | 10:30 a.m.-10:40 a.m. | SSG16-01 | Room S502ABA Massachusetts General Hospital team will describe its development of an electronic cleansing scheme for CT colonography (CTC) images that minimizes the imaging artifacts that plague such algorithms.
November 9, 2015
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MRI
3D MRI technique helps plan treatment for pediatric heart conditions
Images of a 39-year-old who underwent screening mammography. Right craniocaudal (left) and mediolateral oblique (middle) views from preoperative mammography show suspicious grouped fine pleomorphic calcifications (arrows). After biopsy showed ductal carcinoma of situ (DCIS), patient underwent breast-conserving surgery, yielding final diagnosis of ductal carcinoma in situ (intermediate grade, hormone receptor positive). (Right) Screenshot of an output of a commercial AI tool applied to preoperative mammography. AI detected right breast lesion with score of 95% on both views (concentric colored circles). Present study’s reviewing radiologist deemed AI marking to correspond with site of DCIS.
Womens Imaging
Could AI scoring help with managing DCIS?
Axial contrast-enhanced CT scan in a 28-year-old premenopausal woman shows an incidentally detected solid-appearing left ovarian lesion (solid arrow) anterior to the uterus (U), associated with trace ascites in the right adnexa and cul de sac (dashed arrows). At pathologic analysis, this was shown to be ovarian dysgerminoma. Two readers misdiagnosed this lesion, one as a leiomyoma and one as an ovarian fibroma.
CT
Clinicians, beware: CT diagnostic accuracy varies by adnexal lesion type
Erin Stephens
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Radiology coding update for 2026
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