Image Processing: Page 2

Morphological markers culled from MRI exams help diagnose autism

By Kate Madden Yee

Morphological markers culled from diffusion tensor MRI brain scans using an AI algorithm can help accurately diagnose autism in young children.

November 21, 2023

3D CT reconstruction shows ties to malignant pulmonary nodule growth

By Amerigo Allegretto

3D reconstruction of cardiac CT images could aid in follow-up strategies for pulmonary nodule screening.

November 20, 2023

Deep learning helps categorize acute appendicitis on pelvic CT

By Kate Madden Yee

A combined deep learning and radiomics model helps clinicians differentiate complicated from uncomplicated acute appendicitis on pelvic CT.

September 29, 2023

PET radiomics model identifies high-risk lymphoma patients

By Will Morton

A group in the Netherlands has built a radiomics model using FDG-PET scans that predicts disease-free survival odds in patients with relapsed lymphoma.

September 25, 2023

ISCT 2023: Quantitative CT: Not just for bone scanning

By Kate Madden Yee

Quantitative CT is increasingly being used in applications beyond diagnosing and tracking osteoporosis, according to a presentation on September 8 at the International Society of Computed Tomography (ISCT) 2023 meeting in San Diego.

September 12, 2023

RSNA changes tack on quantitative imaging efforts

By Will Morton

The RSNA is planning to launch a new Quantitative Imaging Committee with the goal of expanding its quantitative imaging initiatives into areas not currently reached by the Quantitative Imaging Biomarkers Alliance.

September 11, 2023

MRI is effective for assessing body composition

By Kate Madden Yee

MRI is just as effective as CT for assessing body composition in obese individuals at risk of conditions such as type 2 diabetes mellitus and nonalcoholic fatty liver and cardiovascular disease, according to a team of researchers from Spain.

September 4, 2023

DECT improves diagnosis of aggressive liver cancer subtypes

By Kate Madden Yee

With help from AI and radiomics analysis, dual-energy CT (DECT) can be an effective way to diagnose an aggressive macrotrabecular-massive subtype of hepatocellular carcinoma, a research team has found.

August 22, 2023

MRI model segments abdominal fat tissues in children

By Amerigo Allegretto

An AI model trained on Dixon MRI may help with large studies researching abdominal fat distribution in children, suggest Dutch findings published August 16 in the American Journal of Roentgenology.

August 16, 2023

DECT bone mineral density assessment helps plan fracture surgery

By Kate Madden Yee

Dual energy CT (DECT)-based bone mineral density assessment helps surgeons better plan treatment of distal radius fractures, a study published August 8 in Radiology has found.

August 8, 2023

GigXR, DICOM Director debut 3D image library

By AuntMinnie.com staff writers

GigXR and DICOM Director have released a 3D medical imaging library that consists of holograms of CT and MRI exams.

August 3, 2023

Radiomics algorithm finds key biomarker in multiple myeloma

By Erik L. Ridley

In patients with multiple myeloma, an MRI radiomics machine-learning algorithm can identify minimal residual disease status, a biomarker linked with longer survival, according to a new study published in Clinical Radiology.

August 3, 2023

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