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. 

Video interview with Tim Bateman, MD, co-director, cardiovascular radiologic imaging program, Saint Luke's Mid America Heart Institute and an American Society of Nuclear Cardiology (ASNC) past-president, explaining the role of SPECT into the future as PET becomes more popular. A new look at PET vs SPECT.

SPECT still has an important role to play in nuclear cardiology

"I see, at least for the next decade, this being a SPECT and PET world, not one or the other," explained Tim Bateman, MD.

Novosound ultrasound wearable

Novosound earns patent for wearable ultrasound that monitors blood pressure

The patent is the Scottish tech company's 21st earned since 2018.

artificial intelligence robot evaluates healthcare data

New AI model predicts cancer risk based on breast asymmetry

The program is a simplified modification of the popular Mirai deep-learning algorithm, developed by researchers at MIT to predict future cancer.

radiology trends lungs imaging graphs

Radiologists produce imitation PET scans via routine CT imaging

“With further tuning and validation, this pipeline may potentially add value in cancer screening, staging, diagnosis and prognosis," experts wrote in Cell Reports Medicine.  
 

Going green in the cath lab makes economic sense

New research explored the potential savings of turning off angiography systems at night and on weekends.

Expert calls for education, research to spur adoption of intravascular ultrasound

Eric Secemsky, MD, from Beth Israel Deaconess Medical Center and Harvard Medical School, says a lack of hands-on training and reimbursement challenges are hindering the adoption of IVUS.

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'Kitten Scanner' easing children's anxiety over CT imaging

The tiny Philips-branded CT unit isn't just a toy, it's an interactive simulation.

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Deep learning-based MRI reconstruction software produces considerable cost savings

Oulu University Hospital believes AI will allow it to deliver the same level of service with one fewer scanner, enabling annual savings of over $436,000.