Nuclear medicine vendor Trionix has always maintained a strongtechnological relationship with Sun Microsystems. Sun computerprocessing technology is built into the firm's high-end triple-and dual-detector SPECT cameras, the Triad and the Biad. The
Nuclear medicine vendor Trionix has always maintained a strongtechnological relationship with Sun Microsystems. Sun computerprocessing technology is built into the firm's high-end triple-and dual-detector SPECT cameras, the Triad and the Biad.
The partnership was strengthened this year as Trionix evolveda stronger nuclear networking focus, said President Chun Bin Lim.The Twinsburg, OH, vendor has developed two Sun-based workstations,which will be offered to customers independently of its SPECTcameras, he said.
"We maintain a close business relationship with Sun,"Lim told SCAN. "Now we have decided to make our joint computertechnology available as an independent product. This is part ofour evolutionary process."
Two Trionix workstations run on the Sun base:
Since many nuclear medicine clinics have cameras but not computers,image acquisition is essential to build efficient digital networks.Trionix's move into networking technology is part of an effortto offer more comprehensive services to its users, Lim said.
"After establishing our technical base, we needed to proveourselves as business managers," he said.
The next networking step for Trionix will be development ofa multimodality interface that helps users overlay the functionalnuclear display on anatomical images, he said.
"This year, we will address networking within the confinesof nuclear medicine clinics. Starting next year, we would liketo address the need to network (nuclear medicine) with other modalities,such as MRI and CT," he said.
Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.
Study Shows Enhanced Diagnosis of Coronary Artery Stenosis with Photon-Counting CTA
July 10th 2025In a new study comparing standard resolution and ultra-high resolution modes for patients undergoing coronary CTA with photon-counting detector CT, researchers found that segment-level sensitivity and accuracy rates for diagnosing coronary artery stenosis were consistently > 89.6 percent.
Can CT-Based Deep Learning Bolster Prognostic Assessments of Ground-Glass Nodules?
June 19th 2025Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.