Proceedings ArticleDOI
Accelerated iterative image reconstruction methods based on block-circulant system matrix derived from a cylindrical image representation
J.-D. Leroux,V. Selivanov,R. Fontaine,Roger Lecomte +3 more
- Vol. 4, pp 2764-2771
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TLDR
In this paper, a cylindrical image representation is proposed to preserve both in-plane and axial symmetries between the tubes of response for a given camera, leading to a system matrix having a block-circulant structure.Abstract:
Iterative image reconstruction methods based on an accurate and fully three-dimensional (3D) system probability matrix are well-known to provide images of higher quality. However, the size of the system matrix and the computation burden often make such methods impractical. To address this problem, we proposed to use a cylindrical image representation that preserves both in-plane and axial symmetries between the tubes of response for a given camera, leading to a system matrix having a block-circulant structure. For 3D image reconstruction, such a system matrix can be structured into a block-circulant matrix where blocks are themselves block-circulant. By storing only non-redundant parts of the block-circulant matrix, memory requirements can be reduced by a factor equivalent to the total number of system symmetries. The block-circulant system matrix can be stored in the Fourier domain representation to accelerate the forward and back projection steps of the iterative image reconstruction methods. When represented in the Fourier domain, the system matrix sparsity is reduced compared to the spatial domain representation, but some null values are still preserved.read more
Citations
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Current Trends in Preclinical PET System Design
Craig S. Levin,Habib Zaidi +1 more
TL;DR: The challenges of advancing PET system and some of the new imaging system technologies under investigation to enhance PET's molecular sensitivity substantially are focused on.
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Fast and memory-efficient Monte Carlo-based image reconstruction for whole-body PET
Long Zhang,Steven Staelens,Roel Van Holen,Jan De Beenhouwer,Jeroen Verhaeghe,Iwan Kawrakow,Stefaan Vandenberghe +6 more
TL;DR: The results indicated that the proposed framework could be used for this PET scanner with improved image quality and could also be applied to other state-of-the-art whole-body PET scanners and preclinical PET scanners with a similar shape.
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Sensitivity Increase Through a Neural Network Method for LOR Recovery of ICS Triple Coincidences in High-Resolution Pixelated- Detectors PET Scanners
J.-B. Michaud,Marc-Andre Tetrault,Jean-François Beaudoin,Jules Cadorette,J.-D. Leroux,Charles-Antoine Brunet,Roger Lecomte,Rejean Fontaine +7 more
TL;DR: In this article, the authors presented a real-time capable method that includes Inter-Crystal Scatter (ICS) triple coincidences in the image without significant quality degradation, and the method computes the LOR using a neural network fed by preprocessed raw data.
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Fully 3D iterative CT reconstruction using polar coordinates
TL;DR: The feasibility of fully 3D iterative computed tomography reconstruction of highly resolved fields of view using polar coordinates is demonstrated and iterative reconstruction from high resolution clinical and preclinical systems can be more easily performed using general-purpose personal computers.
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Development and evaluation of QSPECT open-source software for the iterative reconstruction of SPECT images.
George Loudos,Panagiotis Papadimitroulas,Panteleimon Zotos,Ioannis Tsougos,Panagiotis Georgoulias +4 more
TL;DR: QSPECT is a freely distributed, open-source standalone application that provides real-time, high-quality SPECT images that can be further modified to improve reconstruction algorithms, and include more correction techniques, such as, scatter and attenuation correction.
References
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