- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Open architecture takes CAD beyond mammography
The OmniCAD, introduced by R2 Technology Monday, Dec. 2, promises to move CAD beyond the breast, providing a universal computer-aided detection platform with an open architecture. The new system accepts both film and digital images. It opens the door to
The OmniCAD, introduced by R2 Technology Monday, Dec. 2, promises to move CAD beyond the breast, providing a universal computer-aided detection platform with an open architecture. The new system accepts both film and digital images. It opens the door to CAD applications outside mammography, supporting such other modalities as CT, computed radiography, and digital radiography.
With OmniCAD, company strategists have laid the groundwork for a family of products. ImageChecker DM, which is scheduled for commercial release by mid-2003, will be in the CAD mainstream, supporting film-based and digital mammography systems made by any manufacturer. A later release will be used with CT to detect lung nodules. The company is also developing CAD software for spotting pulmonary lesions on multislice CT exams.
Toward this end, the company has developed an ImageChecker CT workstation, which combines dedicated computer software and hardware to receive and display CT exams and DICOM-structured reports of suspicious areas identified by CAD. The workstation also incorporates summaries of radiologists' review findings and transfers the information to a local database. The investigational software contains algorithms that flag potential areas of interest and measure and characterize imaging information about each lesion.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
