Today we turn our attention to theGE Locus Ultra platform in our continuing set of posts on GPU reconstruction: Integrating a faster GPU reconstruction engine into the GE Locus Ultra requires more careful consideration than some other CT scanners because of the system’s complexity and the need for end-to-end …
Another GPU reconstruction progress update day: See below two line profiles drawn through an aluminum stack phantom, imaged on a CT-120 microCT scanner. A typical “cupping” artifact, caused by beam hardening, is clearly visible in the left-hand, uncorrected image. The right image demonstrates the advantage …
Our efforts to integrate our GPU reconstruction engine into different CT scanner platforms continue: see below a video showing the installation process for the Parallax Innovations GPU engine on an eXplore CT-120 console computer. The total install time is about 2 minutes, not including the download of the software. We …
We’ve posted a YouTube video that some of our readers might find interesting: it’s a video showing a side-by-side comparison of CPU vs. GPU for CT conebeam reconstruction - the GPU engine here, is the one that Parallax Innovations has developed. We compare it against a conventional CPU-based multiprocessor …
Rumour has it that Nvidia is set to release their Kepler-based GTX 680 on March 22. With a reported 1536 CUDA cores, and retailing around $560 USD, this card may quickly become the low-cost GPU of choice - certainly at Parallax Innovations HQ. We’ve been happy with the cost-effectiveness and performance of the …
Thanks to our friends at Endra Inc. , we’ve had an opportunity to involve ourselves in GPU -based algorithm acceleration. This has ended up, for us, being a substantial deep-dive into technologies such as CUDA and OpenCL , but with significant results. The advantages of GPU acceleration over conventional …