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High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures
Joint Authors
Dubey, Pradeep
Trzasko, Joshua
Smelyanskiy, Mikhail
Manduca, Armando
Haider, Clifton
Kim, Daehyun
Source
International Journal of Biomedical Imaging
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-09-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Compressive sensing (CS) describes how sparse signals can be accurately reconstructed from many fewer samples than required by the Nyquist criterion.
Since MRI scan duration is proportional to the number of acquired samples, CS has been gaining significant attention in MRI.
However, the computationally intensive nature of CS reconstructions has precluded their use in routine clinical practice.
In this work, we investigate how different throughput-oriented architectures can benefit one CS algorithm and what levels of acceleration are feasible on different modern platforms.
We demonstrate that a CUDA-based code running on an NVIDIA Tesla C2050 GPU can reconstruct a 256 × 160 × 80 volume from an 8-channel acquisition in 19 seconds, which is in itself a significant improvement over the state of the art.
We then show that Intel's Knights Ferry can perform the same 3D MRI reconstruction in only 12 seconds, bringing CS methods even closer to clinical viability.
American Psychological Association (APA)
Kim, Daehyun& Trzasko, Joshua& Smelyanskiy, Mikhail& Haider, Clifton& Dubey, Pradeep& Manduca, Armando. 2011. High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures. International Journal of Biomedical Imaging،Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-474289
Modern Language Association (MLA)
Kim, Daehyun…[et al.]. High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures. International Journal of Biomedical Imaging No. 2011 (2011), pp.1-11.
https://search.emarefa.net/detail/BIM-474289
American Medical Association (AMA)
Kim, Daehyun& Trzasko, Joshua& Smelyanskiy, Mikhail& Haider, Clifton& Dubey, Pradeep& Manduca, Armando. High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures. International Journal of Biomedical Imaging. 2011. Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-474289
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474289