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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Researchers have designed a new cardiac SPECT imaging system that could potentially deliver images much faster than current models. The team presented its findings at the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), SNMMI 2022.

The need for speed: New-look cardiac SPECT imaging system could be up to 100 times faster than current models

Researchers presented their proposed design of a self-collimating SPECT system at SNMMI 2022.

SNMMI Image of the Year 68Ga-FAPI-46 PET/CT heart attack acute myocardial infarction

‘Image of the Year’ highlights the predictive power of a new PET imaging agent

The Society of Nuclear Medicine and Molecular Imaging has chosen its 2022 Image of the Year, and it’s one that is sure to interest anyone in the field of cardiac imaging.

Siemens debuts new, cleared SPECT/CT model

Siemens Healthineers splashed an FDA-approved SPECT/CT system June 12 at the 2022 annual meeting of the Society of Nuclear Medicine & Nuclear Imaging in Vancouver, B.C.

There have been a big increase in interest in cardiac CT following the publication of the 2021 ACC Chest Pain Evaluation Guidelines, which raised CT angiography (CTA) to a 1A level of evidence. This has prompted many centers to consider creating CTA programs.

VIDEO: Cardiac CT training requirements for radiologists and technologists

Brian Ghoshhajra, MD, division chief, cardiovascular imaging, Massachusetts General Hospital, explains what specialized training is needed to perform coronary computed tomography angiography (CCTA) as interest rapidly rises in this field. 

DiA Imaging Analysis, which specialized in developing the AI-based automated cardiac ultrasound solution LVivo Seamless. The technology is now integrated through partnerships with dozens of healthcare vendors, including ScImage, GE Healthcare, Philips Healthcare Konica Minolta and IBM Watson.

ScImage latest vendor to adopt DiA Imaging Analysis AI for echocardiography

Artificial intelligence vendor DiA has emerged as a key third-party provider of AI to larger imaging vendors.

Brian Ghoshhajra, MD, MBA, division chief, cardiovascular imaging, Massachusetts General Hospital and associate professor of radiology, Harvard Medical School, and a board member of the Society of cardiovascular Computed Tomography (SCCT) explains the rapidly expanding interest in cardiac computed tomography (CT) under the new chest pain evaluation guidelines.

VIDEO: The new role of cardiac CT in chest pain evaluation

Brian Ghoshhajra, MD, MBA, division chief, cardiovascular imaging, Massachusetts General Hospital and associate professor of radiology, Harvard Medical School, and a board member of the Society of cardiovascular Computed Tomography (SCCT), explains the rapidly expanding interest in cardiac computed tomography (CT) under the new chest pain evaluation guidelines.

An example of spectral cardiac CT being used to show iodine density in the myocardium to show perfusion deficits. Shown by Philips healthcare at ACC 2022.

VIDEO: Mitigating the contrast media shortage impact on CT imaging

Brian Ghoshhajra, MD, MBA, division chief, cardiovascular imaging, Massachusetts General Hospital and associate professor of radiology, Harvard Medical School, explains the impact of the iodine contrast shortage on computed tomography (CT) and cardiac imaging.
 

Contrast shortage update: GE expects supply to 'progressively recover' soon

Production at the facility in Shanghai is expected to be near 100% starting on June 6.

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Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

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Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.