- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Mercury upgrades thin client server
Mercury Computer introduced enhanced 3D tools and application workflow for CT angiography at the SIIM meeting. The enhancements, part of Visage CS Thin Client/Server 2.2, address 3D and 4D image interpretation, postprocessing, and distribution tasks possible within the PACS workflow anywhere in the hospital enterprise. Bone removal for CT runoff studies automatically subtracts leg bone, pelvic bone, and spine to illuminate vascular structures. A new integrated suite of analytical tools defines and traces vessels and performs curved planar reformatting or a straightened lumen view. A Cardiac CT Analysis Package features 4D Cardiac CT data support, including coronary vessel analysis and left ventricular function analysis.
Mercury Computer introduced enhanced 3D tools and application workflow for CT angiography at the SIIM meeting. The enhancements, part of Visage CS Thin Client/Server 2.2, address 3D and 4D image interpretation, postprocessing, and distribution tasks possible within the PACS workflow anywhere in the hospital enterprise. Bone removal for CT runoff studies automatically subtracts leg bone, pelvic bone, and spine to illuminate vascular structures. A new integrated suite of analytical tools defines and traces vessels and performs curved planar reformatting or a straightened lumen view. A Cardiac CT Analysis Package features 4D Cardiac CT data support, including coronary vessel analysis and left ventricular function analysis.
Deep Learning Detection of Mammography Abnormalities: What a New Study Reveals
June 19th 2023In multiple mammography datasets with the original radiologist-detected abnormality removed, deep learning detection of breast cancer had an average area under the curve (AUC) of 87 percent and an accuracy rate of 83 percent, according to research presented at the recent Society for Imaging Informatics in Medicine (SIIM) conference.
Detecting Intracranial Hemorrhages: Can an Emerging AI Advance Have an Impact?
June 9th 2022A 3D whole brain convolutional neural network could provide enhanced sensitivity and specificity for diagnosing intracranial hemorrhages on computed tomography, according to new research presented at the Society for Imaging Informatics in Medicine (SIIM) conference in Kissimmee, Fla.
