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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.
Emerging Perspectives on PSMA PET Radiotracers: An Interview with Kenneth J. Pienta, MD
April 24th 2024In a recent interview, Kenneth J. Pienta, M.D., discussed the impact of piflufolastat F18, current directions in research with other PSMA-targeted radiotracers and future possibilities for the role of PSMA PET in the imaging paradigm for prostate cancer.
Study Reveals Benefits of Photon-Counting CT for Assessing Acute Pulmonary Embolism
April 23rd 2024In comparison to energy-integrating detector CT for the workup of suspected acute pulmonary embolism, the use of photon-counting detector CT reduced radiation dosing by 48 percent, according to newly published research.
