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. 

Aidoc announces CE mark for the first AI-based workflow tool for Pulmonary Embolism

Aidoc’s solution for flagging and prioritizing pulmonary embolisms is now commercially available in Europe

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Cell phones can disrupt gamma cameras, but should they be banned?

The electromagnetic interference (EMI) emitted by cell phones may negatively impact gamma cameras, according to results of study published in the Journal of Medical Imaging and Radiation Sciences. But does that necessitate an outright ban?

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Contamination of Arizona crematory raises questions of how to manage postmortem radiopharmaceuticals

The body of a 69-year-old male patient treated with lutetium-177 dotate contaminated an Arizona crematorium after radioactive material was found on equipment there, Tech Times reported. The incident has raised questions about the postmortem management of radiopharmaceuticals.

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How custom worklists can lead to faster MRI interpretation times

Analytics-driven worklists can help entire groups of radiologists achieve faster MRI interpretation times, according to new research published in the American Journal of Roentgenology.

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Experience not an advantage when radiologists read prostate MRI

In a recently completed study at Washington University Medical Center in St. Louis, experienced radiologists were no more accurate than younger colleagues at diagnosing prostate cancer on multiparametric MRI.

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Chest strap ECG effectively detects AFib

Electrocardiograms (ECG) acquired using a chest strap could be a quality alternative to traditional ECGs when used to diagnose atrial fibrillation (AF), researchers reported in the American Journal of Cardiology.

Canon Medical Forges New Ground with Deep Convolutional Neural Network Image Reconstruction for CT

Building on its advanced imaging technologies Canon Medical Systems introduces AiCE, a Deep Convolutional Neural Network (DCNN) image reconstruction technology for CT.

MITA commends breast density notification requirement

“This legislation is an important step in ensuring patients are appropriately notified about their risk of breast cancer so they can make informed decisions about their care,” Dennis Durmis, chair of MITA’s Board of Directors, said in a prepared statement.