High-Throughput FPGA-Based Inference of Gradient Tree Boosting Models for Position Estimation in PET Detectors-Reference-Cited by-同舟云学术

High-Throughput FPGA-Based Inference of Gradient Tree Boosting Models for Position Estimation in PET Detectors

Published:2023-03 Issue:3 Volume:7 Page:253-262
ISSN:2469-7311
Container-title:IEEE Transactions on Radiation and Plasma Medical Sciences
language:
Short-container-title:IEEE Trans. Radiat. Plasma Med. Sci.

Author:

Krueger Karl¹^ORCID,Mueller Florian¹^ORCID,Gebhardt Pierre¹^ORCID,Weissler Bjoern¹^ORCID,Schug David¹^ORCID,Schulz Volkmar²

Affiliation:

1. Department of Physics of Molecular Imaging Systems, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany

2. Department of Physics of Molecular Imaging Systems, Institute for Experimental Molecular Imaging, and the Physics Institute III B, RWTH Aachen University, Aachen, Germany

Funder

Helmholtz Validation Fund

European Union’s Horizon 2020 Research and Innovation Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/7433213/10058049/10024309.pdf?arnumber=10024309

Reference50 articles.

1. PennPET Explorer: Design and Preliminary Performance of a Whole-Body Imager

2. First Human Imaging Studies with the EXPLORER Total-Body PET Scanner*

3. Optimized readout of small gamma cameras for high resolution single gamma and positron emission imaging;wojcik;Proc IEEE Nucl Sci Symp Conf Rec,2001

4. Clinical performance of long axial field of view PET/CT: a head-to-head intra-individual comparison of the Biograph Vision Quadra with the Biograph Vision PET/CT

5. The TRIMAGE PET Data Acquisition System: Initial Results

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