Preclinical positron emission tomography scanner based on a monolithic annulus of scintillator: initial design study

Stolin, Alexander; Martone, Peter; Jaliparthi, Gangadhar; Raylman, Raymond R.

doi:10.1117/1.jmi.4.1.011007

Cited by 14 publications

(18 citation statements)

References 77 publications

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“…We expect a final cost of the crystal tube similar to that achieved when independent blocks are purchased. We are aware of two other groups working on a similar approach, and this additionally confirms the viability of our approach ( 21 , 22 ). We are therefore confident that the system can deliver high precision 3D point of interaction determination with DOI accurately extracted from the axial projection.…”

Section: Discussionsupporting

confidence: 79%

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Feasibility Study of a Small Animal PET Insert Based on a Single LYSO Monolithic Tube

et al. 2018

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There are drawbacks with using a Positron Emission Tomography (PET) scanner design employing the traditional arrangement of multiple detectors in an array format. Typically PET systems are constructed with many regular gaps between the detector modules in a ring or box configuration, with additional axial gaps between the rings. Although this has been significantly reduced with the use of the compact high granularity SiPM photodetector technology, such a scanner design leads to a decrease in the number of annihilation photons that are detected causing lower scanner sensitivity. Moreover, the ability to precisely determine the line of response (LOR) along which the positron annihilated is diminished closer to the detector edges because the spatial resolution there is degraded due to edge effects. This happens for both monolithic based designs, caused by the truncation of the scintillation light distribution, but also for detector blocks that use crystal arrays with a number of elements that are larger than the number of photosensors and, therefore, make use of the light sharing principle. In this report we present a design for a small-animal PET scanner based on a single monolithic annulus-like scintillator that can be used as a PET insert in high-field Magnetic Resonance systems. We provide real data showing the performance improvement when edge-less modules are used. We also describe the specific proposed design for a rodent scanner that employs facetted outside faces in a single LYSO tube. In a further step, in order to support and prove the proposed edgeless geometry, simulations of that scanner have been performed and lately reconstructed showing the advantages of the design.

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Section: Discussionsupporting

confidence: 79%

“…Therefore, this design increases the system's sensitivity and uniformity of response. While this design is novel, there is already some prior art confirming the timely importance of this subject ( 21 , 22 ).…”

Section: Introductionmentioning

confidence: 93%

Feasibility Study of a Small Animal PET Insert Based on a Single LYSO Monolithic Tube

et al. 2018

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“…Providing the DOI information or the third dimension of the scintillation position improves the spatial resolution by decreasing the parallax error at the corners of the detectors. Accurate determination of the 3D position is crucial in small-bore PET scanners, including preclinical and organ-specific PET scanners dedicated to brain, prostate, and female breast imaging [3,4].…”

Section: Introductionmentioning

confidence: 99%

Depth of Interaction Estimation in a Preclinical PET Scanner Equipped with Monolithic Crystals Coupled to SiPMs Using a Deep Neural Network

Sanaat

Zaidi

2020

Applied Sciences

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The scintillation light distribution produced by photodetectors in positron emission tomography (PET) provides the depth of interaction (DOI) information required for high-resolution imaging. The goal of positioning techniques is to reverse the photodetector signal’s pattern map to the coordinates of the incident photon energy position. By considering the DOI information, monolithic crystals offer good spatial, energy, and timing resolution along with high sensitivity. In this work, a supervised deep neural network was used for the approximation of DOI and to assess through Monte Carlo (MC) simulations the performance on a small-animal PET scanner consisting of ten 50 × 50 × 10 mm3 continuous Lutetium-Yttrium Oxyorthosilicate doped with Cerium (LYSO: Ce) crystals and 12 × 12 silicon photomultiplier (SiPM) arrays. The scintillation position was predicted by a multilayer perceptron neural network with 256 units and 4 layers whose inputs were the number of fired pixels on the SiPM plane and the total deposited energy. A GEANT4 MC code was used to generate training and test datasets by altering the photons’ incident position, energy, and direction, as well as readout of the photodetector output. The calculated spatial resolutions in the X-Y plane and along the Z-axis were 0.96 and 1.02 mm, respectively. Our results demonstrated that using a multilayer perceptron (MLP)-based positioning algorithm in the detector modules, constituting the PET scanner, enhances the spatial resolution by approximately 18% while the absolute sensitivity remains constant. The proposed algorithm proved its ability to predict the DOI for depth under 7 mm with an error below 8.7%.

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“…The simulated Annular PET scanner contains a 7.2 cm long annulus of scintillator called LYSO with an outer diameter of 8 cm and inner diameter of 5 cm as shown in Figure 1 (gure taken from [1]). Twelve facets with dimensions 1.9 cm x 7.2 cm were placed around the outer surface of the annulus equidistantly.…”

Section: Detector Geometrymentioning

confidence: 99%

“…Small animals like rodents are used as models for disease in biomedicine. To detect the biochemical changes in a human or in animals, radioactive tracers are used in nuclear medicine [1]. Positron Emission Tomography (PET) scan is an imaging test that allows doctors to check for diseases in your body at the cellular level unlike the Computerized Tomography (CT) scans and Magnetic Resonance Imaging (MRI) scans which can detect the changes later only after a disease alters the structure of the organs or tissues.…”

Section: Chapter 1: Introduction 11 Problem and Motivationmentioning

confidence: 99%

A Machine Learning Approach to Estimate the Annihilation Photon Interactions Inside the Scintillator of a PET Scanner

Bharthavarapu¹

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Firstly, I would like to thank my family, especially to my mother -Sudha Gandhi Bharthavarapu, father -Durga Prasad Bharthavarapu and my sister -Meghana Bharthavarapu, for all the moral and nancial support, which drove me all the way to continue my studies.Their love and sacrices are the main reasons which made is possible to continue my higher studies abroad, for which I'm very grateful to them. I express my deepest gratitude to my research advisor, Dr. Gianfranco Doretto, for his invaluable assistance, support and encouragement throughout my research. This thesis would not have been possible without his intellectual support and the resources he made available to me. I'm grateful to him for believing me and providing me an opportunity to work in his enthusiastic research group and making my Master's program a memorable experience. I would also like to thank my committee members, Dr. Ray Raylman, Dr.

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Preclinical positron emission tomography scanner based on a monolithic annulus of scintillator: initial design study

Cited by 14 publications

References 77 publications

Feasibility Study of a Small Animal PET Insert Based on a Single LYSO Monolithic Tube

Feasibility Study of a Small Animal PET Insert Based on a Single LYSO Monolithic Tube

Depth of Interaction Estimation in a Preclinical PET Scanner Equipped with Monolithic Crystals Coupled to SiPMs Using a Deep Neural Network

A Machine Learning Approach to Estimate the Annihilation Photon Interactions Inside the Scintillator of a PET Scanner

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