- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Automated process spots subtle tumor changes
Researchers at the Mayo Clinic in Rochester, MN, and the University of Southern California have developed automated techniques to better document changes to brain tumors occurring over time.
Researchers at the Mayo Clinic in Rochester, MN, and the University of Southern California have developed automated techniques to better document changes to brain tumors occurring over time.
The researchers at the Mayo Clinic described the most common approaches to change detection, ranging from manual inspection, measurement sampling, and volumetrics to warping and temporal analysis (J Digital Imaging, e-pub 29 June 2004).
The paper suggests a number of technical approaches for separating acquisition-related changes from pathology-related changes, including preacquisition registration of scans, scaling correction, subvoxel registration, and change computation.
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.
