- AI
- Molecular Imaging
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- Ultrasound
- MRI
- Facility Management
- Mammography
Konica adds ultrasound disk storage
Film vendor Konica will use the American Institute of Ultrasound in Medicine meeting to showcaseImage Capture System, which acquires images on transportable digitalmedia. The system is designed to take the place of an on-boardmultiformat camera and will
Film vendor Konica will use the American Institute of Ultrasound in Medicine meeting to showcaseImage Capture System, which acquires images on transportable digitalmedia. The system is designed to take the place of an on-boardmultiformat camera and will allow ultrasound and C-arm users tomigrate images into digital networks, according to Konica, ofWayne, NJ. The company outsourced the product from Lenzar ElectroOpticsand began marketing the system this year.
Image Capture System includes VMAN-15, an image acquisitionbox that sits on an ultrasound scanner and can store up to 850static images to a Syquest disk. VMAN-15 can be linked througha network or via sneakernet to Network Print Server, which interfacesto Konica's Li-10A laser printer or printers from other manufacturersusing the 952 protocol. The system will support Konica's Li-21laser printer when that product begins shipping in the secondquarter.
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.
