Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A reconfigurable platform for magnetic resonance data acquisition and processing

Marjanovic, Josip, Reber, Jonas, Brunner, David O., Engel, Maria ORCID:, Kasper, Lars, Dietrich, Benjamin E., Vionnet, Laetitia and Pruessmann, Klaas P. 2020. A reconfigurable platform for magnetic resonance data acquisition and processing. IEEE Transactions on Medical Imaging 39 (4) , pp. 1138-1148. 10.1109/TMI.2019.2944696

Full text not available from this repository.


Developments in magnetic resonance imaging (MRI) in the last decades show a trend towards a growing number of array coils and an increasing use of a wide variety of sensors. Associated cabling and safety issues have been addressed by moving data acquisition closer to the coil. However, with the increasing number of radio-frequency (RF) channels and trend towards higher acquisition duty-cycles, the data amount is growing, which poses challenges for throughput and data handling. As it is becoming a limitation, early compression and preprocessing is becoming ever more important. Additionally, sensors deliver diverse data, which require distinct and often low-latency processing for run-time updates of scanner operation. To address these challenges, we propose the transition to reconfigurable hardware with an application tailored assembly of interfaces and real-time processing resources. We present an integrated solution based on a system-on-chip (SoC), which offers sufficient throughput and hardware-based parallel processing power for very challenging applications. It is equipped with fiber-optical modules serving as versatile interfaces for modular systems with in-field operation. We demonstrate the utility of the platform on the example of concurrent imaging and field sensing with hardware-based coil compression and trajectory extraction. The preprocessed data are then used in expanded encoding model based image reconstruction of single-shot and segmented spirals as used in time-series and anatomical imaging respectively.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Psychology
Cardiff University Brain Research Imaging Centre (CUBRIC)
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 0278-0062
Last Modified: 02 Feb 2023 02:16

Actions (repository staff only)

Edit Item Edit Item