The University of California, Los Angeles, has purchased a Silicon Graphics visualization supercomputer to enhance and expedite efforts by the International Brain Mapping Consortium to create a map of structure and function within the human brain,
The University of California, Los Angeles, has purchased a Silicon Graphics visualization supercomputer to enhance and expedite efforts by the International Brain Mapping Consortium to create a map of structure and function within the human brain, according to Silicon Graphics. UCLA's neuroscientists will use SGI's Onyx2 RealityMonster supercomputer to view and manipulate 3-D brain images.
UCLA scientists have been working with other research centers around the world for five years, compiling data from MRI, PET, CT, and optical intrinsic signal imaging (OIS). Direct anatomical data from cadaveric brains were also included in the database. Onyx2 RealityMonster enables advanced brain modeling and studies of brain development and the aging process, as well as ongoing work to pinpoint specific higher mental functions within the brain, such as memory, language, and planning, according to Mountain View, CA-based SGI.
MRI-Based AI Radiomics Model Offers 'Robust' Prediction of Perineural Invasion in Prostate Cancer
July 26th 2024A model that combines MRI-based deep learning radiomics and clinical factors demonstrated an 84.8 percent ROC AUC and a 92.6 percent precision-recall AUC for predicting perineural invasion in prostate cancer cases.
Breast MRI Study Examines Common Factors with False Negatives and False Positives
July 24th 2024The absence of ipsilateral breast hypervascularity is three times more likely to be associated with false-negative findings on breast MRI and non-mass enhancement lesions have a 4.5-fold likelihood of being linked to false-positive results, according to new research.
Can Polyenergetic Reconstruction Help Resolve Streak Artifacts in Photon Counting CT?
July 22nd 2024New research looking at photon-counting computed tomography (PCCT) demonstrated significantly reduced variation and tracheal air density attenuation with polyenergetic reconstruction in contrast to monoenergetic reconstruction on chest CT.