Nical will show a charge-coupled device (CCD) camera intendedfor use on mobile C-arm image intensifiers at the RSNA meetingthis week. The Italian supplier of image intensifiers, camerasand monitors for medical imaging introduced the technology atthe
Nical will show a charge-coupled device (CCD) camera intendedfor use on mobile C-arm image intensifiers at the RSNA meetingthis week. The Italian supplier of image intensifiers, camerasand monitors for medical imaging introduced the technology atthe European Congress of Radiology exhibition in Vienna in September.
Although CCD cameras are not new, Nical has developed a methodof filtering image noise that will enable the technology to replacestandard pick-up-tube cameras for use in medical fluoroscopy andfluorography, said Gerald B. Silverman, international sales director.
"CCD cameras have been around for many years, but theyhave not been applied to radiology because of the noise generated,"Silverman said.
Nical will sell the camera primarily to OEM customers in Europeand the U.S., although it will eventually be made available todealers as well.
A major advantage of the CCD camera is reduced space requirements.The solid-state technology is also easier to maintain. Nical hopesvendors will consider use of CCD cameras in developing a new generationof compact C-arms, he said. Until the industry adopts the technology,however, product demand will be limited.
BRIEFLY NOTED:
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.