Image Processing: Page 36

AI can improve reproducibility of radiomics in CT
By Erik L. Ridley
An artificial intelligence (AI) algorithm may be able to help overcome one of the biggest issues limiting the clinical use of radiomics in CT -- the low reproducibility of quantitative imaging features on images from different reconstruction algorithms, according to research published online June 18 in Radiology.
June 23, 2019
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Canon gets FDA nod for AI-powered CT reconstruction
By AuntMinnie.com staff writers
Canon Medical Systems USA has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its artificial intelligence (AI)-based Advanced Intelligent Clear-IQ Engine image reconstruction technology.
June 17, 2019
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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
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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
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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
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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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