Image Processing: Page 38

AI converts low-dose CT scans to high-quality studies
By Erik L. Ridley
An artificial intelligence (AI) algorithm can transform low-dose CT (LDCT) scans into high-quality exams that radiologists may even prefer over LDCT studies produced via commercial iterative reconstruction techniques, according to research published online June 10 in Nature Machine Intelligence.
June 11, 2019
2019 06 11 23 04 1990 Ai 400
6 ways AI will enhance musculoskeletal imaging
By Erik L. Ridley
Artificial intelligence (AI) is poised to greatly improve all aspects of the musculoskeletal imaging chain, helping radiology practices be more efficient while still maintaining accuracy and report quality, according to an article published online June 5 in the American Journal of Roentgenology.
June 6, 2019
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Cinematic rendering tops CT to visualize patient anatomy
By Abraham Kim
Cinematically rendered CT images allowed clinicians to understand patient anatomy more quickly and with a greater degree of accuracy than conventional CT, according to an article recently published online in JAMA Surgery. Researchers from Germany suggest the technique may also benefit surgical planning and decision-making.
June 6, 2019
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AuntMinnie.com Advanced Visualization Insider
By Abraham Kim
June 5, 2019
FDA OKs Medis quantitative cardiac software
By AuntMinnie.com staff writers
Medical imaging software developer Medis Medical Imaging Systems has received clearance from the U.S. Food and Drug Administration (FDA) for its QAngio XA 3D software for the quantitative analysis of peripheral and coronary vessels.
June 4, 2019
3 ways cinematic rendering can bolster colon evaluation
By Abraham Kim
The photorealistic quality of cinematically rendered CT scans can aid in the understanding of complex colon anatomy and has the potential to facilitate the detection and characterization of colon pathology in three major ways, according to an article published in the May/June issue of the Journal of Computer Assisted Tomography.
May 29, 2019
2019 05 30 16 00 4818 Cinematic Rendering Colon 2 400
Video from ISMRM 2019: Jong Chul Ye on machine learning and data reconstruction
MONTREAL - While most of the focus on machine learning in radiology has been image interpretation, Jong Chul Ye, PhD, of the Korea Advanced Institute of Science and Technology (KAIST) in South Korea believes that data reconstruction is also a fertile area for deep learning. He explains in this video from the International Society for Magnetic Resonance in Medicine (ISMRM) conference.
May 14, 2019
2019 05 14 20 16 6958 Ismrm 2019 Ye Jong Chul 400
Video from ISMRM 2019: Jong Chul Ye on machine learning and data reconstruction
While most of the focus on machine learning in radiology has been image interpretation, Jong Chul Ye, PhD, of the Korea Advanced Institute of Science and Technology (KAIST) in South Korea believes that data reconstruction is also a fertile area for deep learning. He explains in this video from the International Society for Magnetic Resonance in Medicine (ISMRM) conference.
May 14, 2019
ARRS: Cinematic rendering comes to breast ultrasound
By Abraham Kim
HONOLULU - Researchers from California produced photorealistic 3D models of the breast by applying cinematic rendering to 3D transmission ultrasound images. The potential clinical applications of these models were the subject of a Wednesday presentation at the American Roentgen Ray Society (ARRS) annual meeting.
May 8, 2019
2019 05 09 20 03 6020 Breast Cinematic Rendering 400
Can radiomics detect pancreatic ductal adenocarcinoma?
By Erik L. Ridley
Radiomics and a machine-learning algorithm can differentiate pancreatic ductal adenocarcinoma from a normal pancreas on CT studies, potentially enabling earlier diagnosis of this highly lethal cancer, according to research published online April 23 in the American Journal of Roentgenology.
April 24, 2019
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GE gets FDA nod for deep-learning CT reconstruction
By AuntMinnie.com staff writers
GE Healthcare has received clearance from the U.S. Food and Drug Administration (FDA) for a new data reconstruction method for CT that is based on deep learning.
April 21, 2019
2019 02 05 17 15 4430 Ge Rsna 2018 400
The 5 things radiology needs to speed up AI use
By Erik L. Ridley
What's needed to accelerate advances in artificial intelligence (AI) in radiology? New image reconstruction methods, automated image labeling and annotation techniques, pretrained model architectures, explainable AI, and imaging data aggregation are all needed, according to a special report published April 16 in Radiology.
April 15, 2019
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