PET Image Reconstruction and Deformable Motion Correction Using Unorganized Point Clouds

Klyuzhin, Ivan S.

doi:10.1109/tmi.2017.2675989

Cited by 10 publications

(2 citation statements)

References 32 publications

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“…The proposed method is based on the mathematical structures called Voronoi diagrams [32]. Those diagrams are currently being used for automatic target volume definition during treatment planning in radiotherapy [33], image correction of deformable motion in PET image reconstruction [34] or, in pixelated-based PET detectors, for energy calibration procedures [35] and crystal identification in a multiple-layer configurations [36]. Moreover, Voronoi diagrams are also used in sports [37], [38], chemistry [39], [40], astronomy [41], medicine [42], and image processing [43].…”

Section: Introductionmentioning

confidence: 99%

Calibration of Gamma Ray Impacts in Monolithic-Based Detectors Using Voronoi Diagrams

Freire

González-Montoro

Sánchez

et al. 2020

IEEE Trans. Radiat. Plasma Med. Sci.

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Molecular imaging systems, such as positron emission tomography (PET), use detectors providing energy and a 3-D interaction position of a gamma ray within a scintillation block. Monolithic crystals are becoming an alternative to crystal arrays in PET. However, calibration processes are required to correct for nonuniformities, mainly produced by the truncation of the scintillation light distribution at the edges. We propose a calibration method based on the Voronoi diagrams. We have used 50 × 50 × 15 mm 3 LYSO blocks coupled to a 12 × 12 SiPMs array. We have first studied two different interpolation algorithms: 1) weighted average method (WAM) and 2) natural neighbor (NN). We have compared them with an existing calibration based on 1-D monomials. Here, the crystal was laterally black painted and a retroreflector (RR) layer added to the entrance face. The NN exhibited the best results in terms of XY impact position, depth of Interaction, and energy, allowing us to calibrate the whole scintillation volume. Later, the NN interpolation has been tested against different crystal surface treatments, allowing always to correct edge effects. Best energy resolutions were observed when using the reflective layers (12%-14%). However, better linearity was observed with the treatments using black paint. In particular, we obtained the best overall performance when lateral black paint is combined with the RR.

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Section: Introductionmentioning

confidence: 99%

Calibration of Gamma Ray Impacts in Monolithic-Based Detectors Using Voronoi Diagrams

Freire

González-Montoro

Sánchez

et al. 2020

IEEE Trans. Radiat. Plasma Med. Sci.

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“…( , , ) sigm x m  is the soft threshold of S-type function [26], which is given by 22 0.5( ) ( , , ) 0.5 1 ( )…”

Section: Scattered Point Cloud Data Preprocessingmentioning

confidence: 99%

Scattered Point Cloud Data Reconstruction Algorithm Based on Local Convexity

Niknamian

2020

J. Appl. Sci. Eng. Technol. Educ.

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Point cloud data reconstruction is the basis of point cloud data processing. The reconstruction effect has a great impact on application. For the problems of low precision, large error, and high time consumption of the current scattered point cloud data reconstruction algorithm, a new algorithm of scattered point cloud data reconstruction based on local convexity is proposed in this paper. Firstly, according to surface variation based on local outlier factor (SVLOF), the noise points of point cloud data are divided into near outlier and far outlier, and filtered for point cloud data preprocessing. Based on this, the algorithm based on local convexity is improved. The method of constructing local connection point set is used to replace triangulation to analyze the relationship of neighbor points. The connection part identification method is used for data reconstruction. Experimental results show that, the proposed method can reconstruct the scattered point cloud data accurately, with high precision, small error and low time consumption.

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Investigation of the Scattering Influence on the Quality of Image Reconstruction in Single-Photon Emission Computed Tomography in a Proportional Scattering Medium

Tereshchenko

Lysenko

2020

Biomed Eng

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PET Image Reconstruction and Deformable Motion Correction Using Unorganized Point Clouds

Cited by 10 publications

References 32 publications

Calibration of Gamma Ray Impacts in Monolithic-Based Detectors Using Voronoi Diagrams

Calibration of Gamma Ray Impacts in Monolithic-Based Detectors Using Voronoi Diagrams

Scattered Point Cloud Data Reconstruction Algorithm Based on Local Convexity

Investigation of the Scattering Influence on the Quality of Image Reconstruction in Single-Photon Emission Computed Tomography in a Proportional Scattering Medium

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