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Visiplex buys Nuclear Data camera
Multiformat camera and PACS firmVisiplex Instruments last month acquired worldwide sales and marketingrights to Nuclear Data's IV 4600 film recorder, which recordsvideo images from modalities that use an ultra-high line videosignal. The acquisition is
Multiformat camera and PACS firmVisiplex Instruments last month acquired worldwide sales and marketingrights to Nuclear Data's IV 4600 film recorder, which recordsvideo images from modalities that use an ultra-high line videosignal. The acquisition is the first step in a Visiplex plan toacquire Nuclear Data's entire line of film recorders, accordingto the Elmsford, NY, company.
Visiplex intends to dominate the field of multiformat camerasas long as the technology is available and plans to increase itsmarket share through acquisition, according to Seamus Carroll,vice president of sales and marketing. Visiplex moved into PACSwith the acquisition of Genesys earlier this year (SCAN 8/10/94).
At the RSNA meeting, Visiplex displayed MRI Read Station, a three-monitorconfiguration of Imlogix displays developed for MRI studies. Visiplexalso displayed a new Windows-based version of the FilmFax productformerly marketed by Genesys.
Study Reveals Benefits of Photon-Counting CT for Assessing Acute Pulmonary Embolism
April 23rd 2024In comparison to energy-integrating detector CT for the workup of suspected acute pulmonary embolism, the use of photon-counting detector CT reduced radiation dosing by 48 percent, according to newly published research.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
AI Adjudication Bolsters Chest CT Assessment of Lung Adenocarcinoma
April 11th 2024The inclusion of simulated adjudication for resolving discordant nodule classifications in a deep learning model for assessing lung adenocarcinoma on chest CT resulted in a 12 percent increase in sensitivity rate.
