Today we have received Microsoft Hololens 2 as the first batch of this sweet hardware has been shipped worldwide.
FPGAFAIS and Jagiellonian University are one of the first to have this equipment available for research.
The holographic goggles are intended to be used for J-PET project and visualization of tomographic measurement in real-time on the patient but it offers so much possibilities.
The goggles run Windows 10 and can be programmed in C# using Unity game engine and Vuforia. In case you have some experience in these technologies, don’t hesitate to join our group.
If you are interested, have an idea for an interesting project, have a look at diploma projects tab or email directly at email@example.com
Many thanks to Bechtle AG for assisting us with the purchase.
Things are getting serious!
Together with the official annoucement of the J-PET Lab opening [link] we are shifting up a gear: there is plenty of FPGA related development, both in low level RTL and HLS. If you are interested, have a look at diploma projects tab or email directly at firstname.lastname@example.org
[Visualization by email@example.com]
Our J-PET scanner has been one of three main projects for whole-body PET imaging during Total Body PET – From Mice to Men conference.
The contribution of our FPGA-FAIS group was in a form of a poster that highlights main ideas for innovative tomographic data processing. As no other system is doing high-level analysis of this sort on the level of FPGAs we caught a lot of interest.
You can check out the poster under this link.
It was a great pleasure for me to attend Summer XLII-nd IEEE-SPIE Joint Symposium on Photonics, Web Engineering, Electronics for Astronomy and High Energy Physics Experiments presenting DAQ system of PET tomography devices developed by our team.
The conference takes place in Warsaw University of Technology Wilga Village, where attendees are accommodated. Quiet and full of nature terrains aids concentration and provides space to relax and chill out after scientific activities.
It is now possible to get a real-time view at our scanner visualization in your browser (if you are inside department local network).
The most interesting thing is how the image gets there:
- Data from digitizers is received by the J-PET Controller FPGA
- Lines-Of-Response are reconstructed in real-time
- Regions-Of-Response are calculated into X,Y,Z annihilation coordinates
- Stream of reconstructed points is forwarded from programmable logic through Xillybus to the shared DDR memory
- Petalinux with Ubuntu running on integrated ARM cores accesses the memory and streams the points to your browser by a NodeJS server
It is a next step in the integration of image reconstruction process within the FPGA SoC device. Now, we have a framework on which we can implement further data processing in software.
We are thankful to Bartłomiej Flak and Dr Paweł Rajda from AGH Kraków for their contribution to the J-PET project.
We are glad to inform that our manuscript “Evaluation of single-chip, real-time tomographic data processing on FPGA SoC devices” has been accepted for publication in IEEE Transactions on Medical Imaging!
We are the first to have developed a compact and integrated solution for high-level PET processing on FPGAs.
It is a significant confirmation that out work is appreciated by the community. We have much more to come in that matter!
You can check it out here.
We are glad to announce that our idea of compact, integrated and of course FPGA-based data processing and image reconstruction has been appreciated by the organizers of the Total-Body PET 2018 Conference in Ghent, Belgium.
We will present the concepts and results of our latest developments.
Great news! We have just received the powerful ZynqMPSOC powered board.
The module will replace in the future the current JPET Controller and enable much more advanced real-time processing.
Enhanced image reconstruction, including 3D and TOF functionalities has been successfully implemented entirely in the FPGA!
In programmable logic, we are finding LOR candidates and reconstruct the annihilation point coordinates. Then, only X, Y, Z values are being sent from the JPET Controller to the server that produces 3D canvas with the scanner visualization.
You can find a video showing it in action under [this] link.
Implementation of image reconstruction from tomographic data has been presented for the first time to external experts in tomography at two conferences. First one was XL IEEE-SPIE Joint Symposium Wilga 2017 and the second one was 2nd Jagiellonian Symposium on Fundamental and Subatomic Physics
The project received much interest from the experts from USA universities and was reviewed as having much potential in development of true innovative solutions, not existing on market so far.