Improving the Quality of Brain <scp>PET</scp> Images Using <scp>MR</scp>‐Guided <scp>PET</scp> Reconstruction Technique With Integrated <scp>PET</scp>/<scp>MR</scp>

To evaluate the performance of an MR-guided PET reconstruction method in enhancing the image quality of brain PET images acquired with an integrated PET/MR system. We implemented an MR-guided PET reconstruction (MRg) algorithm in an integrated PET/MR system and conducted both phantom and clinical studies. The PET images of a Hoffman phantom were reconstructed using the MRg algorithm and routine Ordered Subsets Expectation Maximization (OSEM) algorithm. Image quality metrics were calculated to investigate the dose effects, number of iterations, and penalization factor (β). In the clinical study, the PET images of 30 patients without brain lesions, two patients with diffuse large B cell lymphoma (DLBCL), 18 patients with Parkinson's disease (PD) and one patient with cavernous angioma were reconstructed using MRg and OSEM, respectively. Qualitative and quantitative assessments were performed. In the phantom study, MRg images demonstrated improved image quality metrics (higher contrast and lower variability) compared to conventional OSEM, particularly at lower doses. The penalization factor <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi> <mml:mo>=</mml:mo> <mml:mn>2</mml:mn></mml:mrow> <mml:annotation>$$ \beta =2 $$</mml:annotation></mml:semantics> </mml:math> maximized the advantages of MRg. In the clinical study of patients without brain lesions, MRg significantly outperformed OSEM in image quality evaluation. For patients with DLBCL, the lesions' signal/contrast-to-background/noise ratios exhibited significant improvements using the MRg. For patients with PD, the standardized uptake value ratio and contrast-to-noise ratio of bilateral putamen were significantly improved by MRg. The MRg has convincingly demonstrated significant advantages over the conventional OSEM in brain PET images, indicating great potential in clinical routines for brain PET/MR examinations.

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Publication Details

Journal
Human Brain Mapping
Published
2025-08-01
DOI
https://doi.org/10.1002/hbm.70292
Citations
1
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36

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article

Improving the Quality of Brain PET Images Using MR‐Guided PET Reconstruction Technique With Integrated PET/MR

Hongda Shao, Qiaoyi Xue, Gan Huang, Jiaxin Hao et al.
1 citations
Human Brain Mapping
Medical Imaging Techniques and Applications
1.36
article

Improving the Quality of Brain PET Images Using MR‐Guided PET Reconstruction Technique With Integrated PET/MR

Hongda Shao, Qiaoyi Xue, Gan Huang, Jiaxin Hao, Jianjun Liu, Yan Zhang, Yue Wang
article en
1 citations

Abstract

To evaluate the performance of an MR-guided PET reconstruction method in enhancing the image quality of brain PET images acquired with an integrated PET/MR system. We implemented an MR-guided PET reconstruction (MRg) algorithm in an integrated PET/MR system and conducted both phantom and clinical studies. The PET images of a Hoffman phantom were reconstructed using the MRg algorithm and routine Ordered Subsets Expectation Maximization (OSEM) algorithm. Image quality metrics were calculated to investigate the dose effects, number of iterations, and penalization factor (β). In the clinical study, the PET images of 30 patients without brain lesions, two patients with diffuse large B cell lymphoma (DLBCL), 18 patients with Parkinson's disease (PD) and one patient with cavernous angioma were reconstructed using MRg and OSEM, respectively. Qualitative and quantitative assessments were performed. In the phantom study, MRg images demonstrated improved image quality metrics (higher contrast and lower variability) compared to conventional OSEM, particularly at lower doses. The penalization factor <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>β</mml:mi> <mml:mo>=</mml:mo> <mml:mn>2</mml:mn></mml:mrow> <mml:annotation>$$ \beta =2 $$</mml:annotation></mml:semantics> </mml:math> maximized the advantages of MRg. In the clinical study of patients without brain lesions, MRg significantly outperformed OSEM in image quality evaluation. For patients with DLBCL, the lesions' signal/contrast-to-background/noise ratios exhibited significant improvements using the MRg. For patients with PD, the standardized uptake value ratio and contrast-to-noise ratio of bilateral putamen were significantly improved by MRg. The MRg has convincingly demonstrated significant advantages over the conventional OSEM in brain PET images, indicating great potential in clinical routines for brain PET/MR examinations.

Human Brain MappingVol. 46(11)
Shanghai Jiao Tong University (CN), Renji Hospital (CN)
National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 17%
Medical Imaging Techniques and Applications
1.36
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