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. 

SIR 2024: Study finds ultrasound ablation to be a precise, effective treatment for prostate cancer

The MRI-guided transurethral ultrasound ablation comes with minimal side effects, offering cancer patients an alternative to radiation or surgery.

Auburn University SIemens 7T magnetom scanner

University charts a world’s first with clinical use of new $9M 7T MRI system

The Siemens Magnetom scanner utilizes dedicated radiofrequency sodium coils and parallel transmit technology—a “stark” difference from older models

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Rockefeller Neuroscience Institute receives $2M grant for ultrasound drug addiction treatments

RNI hopes their research will provide a new tool to combat the opioid crisis.

Breast cancer pink ribbon women's health

SIR 2024: Cryoablation an effective treatment for breast cancer

The study, presented at the Society of Interventional Radiology Annual Scientific Meeting, marks one of the first to use freezing on large tumors in the breast.

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.