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CR uses new plate technology to improve image quality
An advanced phosphor plate that increases the detector quantum efficiency possible on a CR system is being shown at the RSNA meeting. The cesium bromide phosphor-based detector built into the Regius 370 upright CR system from Konica Minolta Medical Imaging sharpens images by using a columnar fiber crystal structure that provides a straightforward path for x-ray energy.
An advanced phosphor plate that increases the detector quantum efficiency possible on a CR system is being shown at the RSNA meeting. The cesium bromide phosphor-based detector built into the Regius 370 upright CR system from Konica Minolta Medical Imaging sharpens images by using a columnar fiber crystal structure that provides a straightforward path for x-ray energy.
The Regius 370 increases image clarity by adding an antiscatter lead sheet to reduce x-ray scattering. It removes image artifacts by means of a hybrid processing algorithm.
Because of its 87.5-µm and 175-µm scanning resolutions, the system can be used for a wide range of clinical applications. A 17 by 17-inch CR fixed plate reader handles any type of upright imaging, including chest, abdomen, and extremity studies.
The Regius 370 is compact in size - 2.5 feet wide and 5.2 feet tall -- and quick, with a preview time of only 10 seconds. Like its predecessor, the Regius 350, the 370 supports x-ray tube synchronization and autocollimation and is able to interface with a variety of x-ray equipment.
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.
