- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Neural network measures MS disease progression
The percentage of brain volume is an important marker of disease progression in multiple sclerosis. Researchers have developed a prototype neural network-based quantification system to measure this important benchmark by computer-assisted segmentation of multispectral MR imaging data.
The percentage of brain volume is an important marker of disease progression in multiple sclerosis. Researchers have developed a prototype neural network-based quantification system to measure this important benchmark by computer-assisted segmentation of multispectral MR imaging data.
Dr. Axel Wismueller of Ludwig Maximilians University in Munich performed MR exams in six women with relapsing-remitting MS. The neural network computed the percentage of brain volume by automatic cerebrospinal fluid segmentation. The voxel-specific gray-level intensity spectrum forms a seven-dimensional feature vector, which is classified by the neural network as either belonging to CSF or not. Findings were reported at the 2005 European Congress of Radiology.
The neural network-based computation significantly outperformed the conventional angle-image method. Specifically, the neural network performed better by retrieving only T2-weighted and perfusion/diffusion-weighted signals, thereby avoiding misclassifications in white matter lesions that are difficult to distinguish from CSF.
New CT Angiography Study Shows Impact of COVID-19 on Coronary Inflammation and Plaque
February 5th 2025Prior COVID-19 infection was associated with a 28 percent higher progression of total percent atheroma volume (PAV) annually and over a 5 percent higher incidence of high-risk plaque in patients with coronary artery lesions, according to CCTA findings from a new study.
