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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New MRI method can identify early signs of Parkinson's

The researchers are now working on developing a qMRI method that can be incorporated into clinical settings, with an anticipated timeline of three to five years. 

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Techniques for photon-counting CTs that could improve orthopedic imaging

Image sharpness was further improved when sharper reconstruction kernels were used, despite having higher noise levels.

Lumbar surgery AI planner, tracker gets regulatory green light

A machine learning system for planning spine surgery that also predicts post-op spinal alignment six months out has cleared the FDA’s 510(k) review process.

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3D mammography may shake ‘routine’ out of architectural distortion surgery

When counseling patients with architectural distortion on digital breast tomosynthesis (DBT) but no signs of malignancy on biopsy, mammographers should raise imaging alone as a sound option for surveillance.

hip dysplasia joint socket

Preoperative radiographic hip measurements predict postoperative complications

The findings were discussed today at the annual meeting of the American Orthopaedic Society of Sports Medicine.

Imaging surveillance program detects pancreatic cancer in its earliest stages

Individuals at high risk of pancreatic cancer benefit from annual imaging and have decreased mortality rates compared to those who forgo preventive screening.  

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Content-based AI system decreases read times by 31% while increasing accuracy

Using CBIRS decreased interpretation times despite the radiologists who utilized them having to review the additional information the system provided.

Siemens headquarters

Maturing partnership between OEM and AI shop yielding MRI advances

Siemens Healthineers has successfully integrated image-reconstruction software developed by a U.S. healthcare AI startup to increase sharpness and decrease noise in MR images captured during fast scanning sequences.