Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

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Focused ultrasound may alleviate pain without drugs, study finds

Researchers from Virginia Tech uncovered physiological changes from altering the way the brain perceives pain.

February 16, 2024
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Artifacts from hair on X-rays shed light on health equity gap

Do radiologists see how the hair styles of Black and brown people impact imaging exams? 

February 16, 2024
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Ultrasound mobile app developer launches colorful training tool

The artificial intelligence-powered aid is for educational and training purposes only.

February 15, 2024
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Microrobots guided by an MRI eradicate liver cancer

The technique was successful in a proof-of-concept animal study, but human trials are a long way off. 

February 15, 2024
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Low field 0.55T MRI images as diagnostically useful as 1.5T for abdominal scans

Researchers from the University of Michigan scanned 52 patients at multiple field strengths to make the comparison.

February 14, 2024
Video of Mahadevappa Mahesh, PhD, incoming-AAPM president, professor of radiology and a medical physicist, Johns Hopkins University School of Medicine, explains key trends in imaging physics presented at the Radiological Society of North America (RSNA) 2023 meeting.

6 key trends in medical imaging physics

Mahadevappa Mahesh, PhD, incoming American Association of Physicists in Medicine president, discusses key developments in the specialty. 

February 14, 2024

Micro-CT used to scan mysterious wormlike reptiles

The underground life of an Amphisbaenia has not been easy to study.

February 13, 2024
Seno Medical Imagio breast imaging system.

AMA adds code to allow for reimbursement of opto-acoustic imaging modality

The new imaging modality was pioneered by Seno Medical for diagnosing breast cancer.

February 13, 2024

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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