- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Varian develops ultra-high-field MRI
Varian NMR of Palo Alto, CA, is drawing from collaborative experiencewith Siemens Medical Systems to introduce a new ultra-high-fieldMRI scanner for research applications. The whole-body Unity Inova will be marketed by Varian and willcarry its trademark.
Varian NMR of Palo Alto, CA, is drawing from collaborative experiencewith Siemens Medical Systems to introduce a new ultra-high-fieldMRI scanner for research applications.
The whole-body Unity Inova will be marketed by Varian and willcarry its trademark. It will be assembled around 3-tesla and 4-teslasuperconducting magnets built by Siemens subsidiary Oxford MagnetTechnology. Siemens will contribute gradient coils and Varianwill manufacture the spectrometer. The systems will be sold toacademic centers to explore research such as functional MRI andspectroscopy.
Unity Inova is a new permutation of a previous collaborationbetween Varian NMR and Siemens in the 3- and 4-tesla arena. In1990, the two companies formed a joint venture called Sisco (SpectroscopyImaging Systems Company).
FDA Approves Fluorescence Imaging System for Detecting Residual Breast Cancer
April 18th 2024The combination of the optical imaging agent Lumisight and the fluorescence imaging device Lumicell Direct Visualization System, collectively known as LumiSystem, reportedly offers 84 percent accuracy with real-time detection of residual breast cancer after lumpectomy procedures.
Study of Ofatumumab for Multiple Sclerosis Shows 'Profoundly Suppressed MRI Lesion Activity'
April 17th 2024The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) conference.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
