Grid computing has emerged as one answer to demands for information systems to manipulate 2D, 3D, and 4D images, provide video conferencing, and satisfy other evolving telemedical applications.
Grid computing has emerged as one answer to demands for information systems to manipulate 2D, 3D, and 4D images, provide video conferencing, and satisfy other evolving telemedical applications.
A paper from Greece proposes a data-centric network that employs Grid architecture to construct web PACS portals to meet radiology department data management needs (Conf Proc IEEE Eng Med Biol Soc 2007;1:6429-6433). The hardware and software infrastructure is capable of providing reliable, low-cost access to high-end computing. The architecture yields a large-scale computing network from inexpensive off-the-shelf servers and storage devices. All components perform as a logical portal platform to provide web PACS services.
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.