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Digirad wins solid-state detector patent
Solid-state gamma camera developer Digirad of San Diego announced this month that the U.S. Patent Office has granted the company a patent on a method of manufacturing solid-state digital detector modules. Digirad believes the patent is so comprehensive
Solid-state gamma camera developer Digirad of San Diego announced this month that the U.S. Patent Office has granted the company a patent on a method of manufacturing solid-state digital detector modules. Digirad believes the patent is so comprehensive that it will be difficult for other potential solid-state detector manufacturers to avoid infringement.
The patent covers technology that uses semiconductor gamma ray detector modules that can be butted on all sides to form a seamless imaging array of any size. The patent also covers gamma cameras that use these modules, according to the company.
Digirad is unaware of any commercially feasible way to manufacture a solid-state, large field-of-view gamma camera without violating the patent, because solid-state cameras require individual detectors that must be tiled together, rather than a single crystal as used in vacuum-tube systems, according to Karen Klause, president and CEO. Klause declined to comment on whether Digirad would license the buttable module technology.
Digirad manufactures and markets Digirad 2020 TC Imager, a portable single-head gamma camera that uses solid-state detector technology.
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.
