Projects per year
Abstract
Reconstructing 3D parameter maps of huge volumes entirely on the GPU is highly desirable due to the offeredcomputation speed-up. However, GPU memory restrictions limit the coverable volume. To overcome thislimitation, a double-buffering strategy in combination with model-based parameter quantification and 3D-TGVregularization is proposed. This combination warrants whole volume reconstruction while maintaining thespeed advantages of GPU-based computation. In contrast to sequential transfers, double-buffering splits thevolume into blocks and overlaps memory transfer and kernel execution concurrently, hiding memory latency.The proposed method is able to reconstruct arbitrary large volumes within 5.3 min/slice, even on a single GPU.
Original language | English |
---|---|
Publication status | Published - 2019 |
Event | 27th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine: ISMRM 2019 - Palais des congrès de Montréal, Montréal, Canada Duration: 11 May 2019 → 16 May 2019 https://www.ismrm.org/19m/ |
Conference
Conference | 27th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine |
---|---|
Abbreviated title | ISMRM 2019 |
Country/Territory | Canada |
City | Montréal |
Period | 11/05/19 → 16/05/19 |
Internet address |
Projects
- 1 Finished
-
qMRI - Variational methods for fast multi-parameter quantification in MRI
Maier, O. (Co-Investigator (CoI))
1/07/18 → 30/06/21
Project: Research project