Evidence map›Paper›PMID 40728750›Full record

ArticleEJNMMI physics2025

Development of a population of digital brain phantoms for radionuclide imaging research in Parkinson's disease.

Wenbo Huang, Han Jiang, Guang-Uei Hung, Yonghua Zhao, Ruibing Wang, Greta S P Mok

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Article in EJNMMI physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wenbo HuangBiomedical Imaging Laboratory (BIG), Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Avenida da Universidade, Taipa, Macau SAR, China.
Han JiangPET-CT Center, Fujian Medical University Union Hospital, Fuzhou, China.
Guang-Uei HungDepartment of Nuclear Medicine, Chang Bing Show Chwan Memorial Hospital, Changhua County, Taiwan.
Yonghua ZhaoState Key Laboratory of Mechanism and Quality of Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau SAR, China.
Ruibing WangState Key Laboratory of Mechanism and Quality of Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau SAR, China.
Greta S P MokBiomedical Imaging Laboratory (BIG), Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Avenida da Universidade, Taipa, Macau SAR, China. gretamok@um.edu.mo.ORCID http://orcid.org/0000-0002-2962-2087

Funding

Fundo para o Desenvolvimento das Ciências e da Tecnologia 0178/2024/AMJUniversidade de Macau MYRG-GRG2024-00061-FST-UMDF
6 · The paper itself

Abstract

purposeDopamine transporter (DAT) SPECT is a powerful tool for early diagnosis of Parkinson's disease (PD), while digital phantoms and Monte Carlo (MC) simulations can serve as important research tools. This study aims to develop a novel digital brain phantom population for

methodsStriatum, brain background (gray and white matter), and cold regions (skull and cerebrospinal fluid) were segmented from 200 T1 MRI brain images from the PPMI dataset. Striatal binding ratio (SBR) values were retrospectively collected from 200

resultsA population of 1000 normal and abnormal PD phantoms was generated for both tracers. Visual comparisons and quantitative analyses demonstrated that simulated data exhibited high similarity to clinical data. Reconstructed images with AC + SC achieved the best quantitative results, followed by AC only, without AC and SC, and SC only.

conclusionThe developed digital DAT SPECT phantom population can be served for a wide range of PD applications. Attenuation impacts image quality the most in DAT SPECT, while AC + SC is effective to enhance image quality and quantitative accuracy of DAT SPECT.

Indexed as

Attenuation correctionDAT SPECTMonte Carlo simulationParkinson’s diseasePhantom populationScatter correction.

Identifiers

PMID40728750
PMCPMC12307856

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