Generation of clinical 177Lu SPECT/CT images based on Monte Carlo simulation with GATE

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Generation of clinical 177Lu SPECT/CT images based on Monte Carlo simulation with GATE. / Kayal, Gunjan; Chauvin, Maxime; Vergara Gil, Alex; Clayton, Naomi; Ferrer, Ludovic; Moalosi, Tumelo; Knoll, Peter ; Struelens, Lara; Bardiès, Manuel.

In: Physica Medica, Vol. 85, 03.05.2021, p. 24-31.

Research output: Contribution to journalArticlepeer-review

Harvard

Kayal, G, Chauvin, M, Vergara Gil, A, Clayton, N, Ferrer, L, Moalosi, T, Knoll, P, Struelens, L & Bardiès, M 2021, 'Generation of clinical 177Lu SPECT/CT images based on Monte Carlo simulation with GATE', Physica Medica, vol. 85, pp. 24-31. https://doi.org/10.1016/j.ejmp.2021.04.002

APA

Kayal, G., Chauvin, M., Vergara Gil, A., Clayton, N., Ferrer, L., Moalosi, T., Knoll, P., Struelens, L., & Bardiès, M. (2021). Generation of clinical 177Lu SPECT/CT images based on Monte Carlo simulation with GATE. Physica Medica, 85, 24-31. https://doi.org/10.1016/j.ejmp.2021.04.002

Vancouver

Kayal G, Chauvin M, Vergara Gil A, Clayton N, Ferrer L, Moalosi T et al. Generation of clinical 177Lu SPECT/CT images based on Monte Carlo simulation with GATE. Physica Medica. 2021 May 3;85:24-31. https://doi.org/10.1016/j.ejmp.2021.04.002

Author

Kayal, Gunjan ; Chauvin, Maxime ; Vergara Gil, Alex ; Clayton, Naomi ; Ferrer, Ludovic ; Moalosi, Tumelo ; Knoll, Peter ; Struelens, Lara ; Bardiès, Manuel. / Generation of clinical 177Lu SPECT/CT images based on Monte Carlo simulation with GATE. In: Physica Medica. 2021 ; Vol. 85. pp. 24-31.

Bibtex - Download

@article{56ae56fe640b4626bbc5a3c80b013d08,
title = "Generation of clinical 177Lu SPECT/CT images based on Monte Carlo simulation with GATE",
abstract = "Purpose: Patient-specific dosimetry in MRT relies on quantitative imaging, pharmacokinetic assessment and absorbed dose calculation. The DosiTest project was initiated to evaluate the uncertainties associated with each step of the clinical dosimetry workflow through a virtual multicentric clinical trial. This work presents the generation of simulated clinical SPECT datasets based on GATE Monte Carlo modelling with its corresponding experimental CT image, which can subsequently be processed by commercial image workstations. Methods: This study considers a therapy cycle of 6.85 GBq 177Lu-labelled DOTATATE derived from an IAEACoordinated Research Project (E23005) on “Dosimetry in Radiopharmaceutical therapy for personalised patient treatment”. Patient images were acquired on a GE Infinia-Hawkeye 4 gamma camera using a medium energy (ME) collimator. Simulated SPECT projections were generated based on experimental time points and validated against experimental SPECT projections using flattened profiles and gamma index. The simulated projections were then incorporated into the patient SPECT/CT DICOM envelopes for processing and their reconstruction within a commercial image workstation. Results: Gamma index passing rate (2% {\^o}€€€ 1 pixel criteria) between 95 and 98% and average gamma between 0.28 and 0.35 among different time points revealed high similarity between simulated and experimental images. Image reconstruction of the simulated projections was successful on HERMES and Xeleris workstations, a major step forward for the initiation of a multicentric virtual clinical dosimetry trial based on simulated SPECT/CT images. Conclusions: Realistic 177Lu patient SPECT projections were generated in GATE. These modelled datasets will be circulated to different clinical departments to perform dosimetry in order to assess the uncertainties in the entire dosimetric cha",
keywords = "Clinical dosimetry, DosiTest, SPECT/CT, GATE Monte Carlo modelling",
author = "Gunjan Kayal and Maxime Chauvin and {Vergara Gil}, Alex and Naomi Clayton and Ludovic Ferrer and Tumelo Moalosi and Peter Knoll and Lara Struelens and Manuel Bardi{\`e}s",
note = "Score=10",
year = "2021",
month = may,
day = "3",
doi = "10.1016/j.ejmp.2021.04.002",
language = "English",
volume = "85",
pages = "24--31",
journal = "Physica Medica",
issn = "1120-1797",
publisher = "Elsevier",

}

RIS - Download

TY - JOUR

T1 - Generation of clinical 177Lu SPECT/CT images based on Monte Carlo simulation with GATE

AU - Kayal, Gunjan

AU - Chauvin, Maxime

AU - Vergara Gil, Alex

AU - Clayton, Naomi

AU - Ferrer, Ludovic

AU - Moalosi, Tumelo

AU - Knoll, Peter

AU - Struelens, Lara

AU - Bardiès, Manuel

N1 - Score=10

PY - 2021/5/3

Y1 - 2021/5/3

N2 - Purpose: Patient-specific dosimetry in MRT relies on quantitative imaging, pharmacokinetic assessment and absorbed dose calculation. The DosiTest project was initiated to evaluate the uncertainties associated with each step of the clinical dosimetry workflow through a virtual multicentric clinical trial. This work presents the generation of simulated clinical SPECT datasets based on GATE Monte Carlo modelling with its corresponding experimental CT image, which can subsequently be processed by commercial image workstations. Methods: This study considers a therapy cycle of 6.85 GBq 177Lu-labelled DOTATATE derived from an IAEACoordinated Research Project (E23005) on “Dosimetry in Radiopharmaceutical therapy for personalised patient treatment”. Patient images were acquired on a GE Infinia-Hawkeye 4 gamma camera using a medium energy (ME) collimator. Simulated SPECT projections were generated based on experimental time points and validated against experimental SPECT projections using flattened profiles and gamma index. The simulated projections were then incorporated into the patient SPECT/CT DICOM envelopes for processing and their reconstruction within a commercial image workstation. Results: Gamma index passing rate (2% ô€€€ 1 pixel criteria) between 95 and 98% and average gamma between 0.28 and 0.35 among different time points revealed high similarity between simulated and experimental images. Image reconstruction of the simulated projections was successful on HERMES and Xeleris workstations, a major step forward for the initiation of a multicentric virtual clinical dosimetry trial based on simulated SPECT/CT images. Conclusions: Realistic 177Lu patient SPECT projections were generated in GATE. These modelled datasets will be circulated to different clinical departments to perform dosimetry in order to assess the uncertainties in the entire dosimetric cha

AB - Purpose: Patient-specific dosimetry in MRT relies on quantitative imaging, pharmacokinetic assessment and absorbed dose calculation. The DosiTest project was initiated to evaluate the uncertainties associated with each step of the clinical dosimetry workflow through a virtual multicentric clinical trial. This work presents the generation of simulated clinical SPECT datasets based on GATE Monte Carlo modelling with its corresponding experimental CT image, which can subsequently be processed by commercial image workstations. Methods: This study considers a therapy cycle of 6.85 GBq 177Lu-labelled DOTATATE derived from an IAEACoordinated Research Project (E23005) on “Dosimetry in Radiopharmaceutical therapy for personalised patient treatment”. Patient images were acquired on a GE Infinia-Hawkeye 4 gamma camera using a medium energy (ME) collimator. Simulated SPECT projections were generated based on experimental time points and validated against experimental SPECT projections using flattened profiles and gamma index. The simulated projections were then incorporated into the patient SPECT/CT DICOM envelopes for processing and their reconstruction within a commercial image workstation. Results: Gamma index passing rate (2% ô€€€ 1 pixel criteria) between 95 and 98% and average gamma between 0.28 and 0.35 among different time points revealed high similarity between simulated and experimental images. Image reconstruction of the simulated projections was successful on HERMES and Xeleris workstations, a major step forward for the initiation of a multicentric virtual clinical dosimetry trial based on simulated SPECT/CT images. Conclusions: Realistic 177Lu patient SPECT projections were generated in GATE. These modelled datasets will be circulated to different clinical departments to perform dosimetry in order to assess the uncertainties in the entire dosimetric cha

KW - Clinical dosimetry

KW - DosiTest

KW - SPECT/CT

KW - GATE Monte Carlo modelling

UR - https://ecm.sckcen.be/OTCS/llisapi.dll/open/48015034

U2 - 10.1016/j.ejmp.2021.04.002

DO - 10.1016/j.ejmp.2021.04.002

M3 - Article

VL - 85

SP - 24

EP - 31

JO - Physica Medica

JF - Physica Medica

SN - 1120-1797

ER -

ID: 7401029