SMV to feature latest clinical work
At its booth at the Society of Nuclear Medicine meeting, nuclear medicine vendor SMV will feature images from recent clinical studies under way to validate new technologies ranging from artifact correction to high-energy coincidence detection imaging.In
At its booth at the Society of Nuclear Medicine meeting, nuclear medicine vendor SMV will feature images from recent clinical studies under way to validate new technologies ranging from artifact correction to high-energy coincidence detection imaging.
In cardiac imaging, the Twinsburg, OH, company will display the latest studies from its Transmission Attenuation Correction (TAC) sites. The sites are demonstrating the value of using TAC on its own and in conjunction with SMV's Stasis motion correction algorithm and Restore depth-dependent resolution recovery technique.
In the coincidence detection realm, SMV will show images from its Volumetric Coincidence Reconstruction (VCR) option, which received 510(k) clearance in March for the Vision FX-80 fixed 180 dual-head camera (SCAN 4/16/97). SMV is waiting for clearance of VCR for its variable-angle cameras, according to Bill Bishop, vice president of business development. SMV will emphasize VCR image quality enhancements with algorithms such as randoms correction.
On the workstation side, the PowerStation SPX and MPX computers will be displayed, with SMV's new Vision 4.1 software. The software includes increased protocol automation, better edge detection, and the addition of Transient Ischemic Dilitation (TID) to SMV's MultiDim 3-D quantification.
Newsletter
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.
