Time-series atlases of the rat brain after middle cerebral artery occlusion using FDG-PET images

The middle cerebral artery occlusion (MCAO) procedure is widely used in ischemic stroke research. When using functional 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) images to study ischemic stroke, the difficulty in determining the region of interest (ROI) comes from two aspects: th...

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Published inComputers in biology and medicine Vol. 190; p. 109977
Main Authors Li, Chenrui, He, Wuxian, Zhang, Xuechen, Tang, Hongtu, Li, Jia, Shen, Xiaoyan, Liu, Huafeng, Yu, Weichuan
Format Journal Article
LanguageEnglish
Published United States Elsevier Ltd 01.05.2025
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Online AccessGet full text
ISSN0010-4825
1879-0534
1879-0534
DOI10.1016/j.compbiomed.2025.109977

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Abstract The middle cerebral artery occlusion (MCAO) procedure is widely used in ischemic stroke research. When using functional 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) images to study ischemic stroke, the difficulty in determining the region of interest (ROI) comes from two aspects: the large variations due to differences in uptake and reaction time and the consistency of different intensity normalization methods among subjects. Using the rat as a model animal, we propose time-series atlases of ischemic stroke after MCAO based on the PET images to annotate changes in ROIs. Concretely, we spatially align serial scans with a built PET template, use histograms of orientated gradient (HOG) features to detect lesion boundaries, and combine them with results from an intensity-based detection method to construct probability maps at different time points with the Bernoulli mixture model (BMM). Simulated PET images with known ground truth and triphenyl tetrazolium chloride (TTC) staining slices validate the correctness of the time-series atlases. We demonstrate that these atlases could provide references when tracking the spatial–temporal dynamic development of lesions in rat brains. •Using histograms of orientated gradients to improve detection of hypo-uptake regions.•Constructing serial atlases to capture voxel correlations and track temporal changes.•Using probability atlases to measure brain injury and affected functional regions.
AbstractList The middle cerebral artery occlusion (MCAO) procedure is widely used in ischemic stroke research. When using functional 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) images to study ischemic stroke, the difficulty in determining the region of interest (ROI) comes from two aspects: the large variations due to differences in uptake and reaction time and the consistency of different intensity normalization methods among subjects. Using the rat as a model animal, we propose time-series atlases of ischemic stroke after MCAO based on the PET images to annotate changes in ROIs. Concretely, we spatially align serial scans with a built PET template, use histograms of orientated gradient (HOG) features to detect lesion boundaries, and combine them with results from an intensity-based detection method to construct probability maps at different time points with the Bernoulli mixture model (BMM). Simulated PET images with known ground truth and triphenyl tetrazolium chloride (TTC) staining slices validate the correctness of the time-series atlases. We demonstrate that these atlases could provide references when tracking the spatial–temporal dynamic development of lesions in rat brains. •Using histograms of orientated gradients to improve detection of hypo-uptake regions.•Constructing serial atlases to capture voxel correlations and track temporal changes.•Using probability atlases to measure brain injury and affected functional regions.
The middle cerebral artery occlusion (MCAO) procedure is widely used in ischemic stroke research. When using functional 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) images to study ischemic stroke, the difficulty in determining the region of interest (ROI) comes from two aspects: the large variations due to differences in uptake and reaction time and the consistency of different intensity normalization methods among subjects. Using the rat as a model animal, we propose time-series atlases of ischemic stroke after MCAO based on the PET images to annotate changes in ROIs. Concretely, we spatially align serial scans with a built PET template, use histograms of orientated gradient (HOG) features to detect lesion boundaries, and combine them with results from an intensity-based detection method to construct probability maps at different time points with the Bernoulli mixture model (BMM). Simulated PET images with known ground truth and triphenyl tetrazolium chloride (TTC) staining slices validate the correctness of the time-series atlases. We demonstrate that these atlases could provide references when tracking the spatial-temporal dynamic development of lesions in rat brains.
The middle cerebral artery occlusion (MCAO) procedure is widely used in ischemic stroke research. When using functional 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) images to study ischemic stroke, the difficulty in determining the region of interest (ROI) comes from two aspects: the large variations due to differences in uptake and reaction time and the consistency of different intensity normalization methods among subjects. Using the rat as a model animal, we propose time-series atlases of ischemic stroke after MCAO based on the PET images to annotate changes in ROIs. Concretely, we spatially align serial scans with a built PET template, use histograms of orientated gradient (HOG) features to detect lesion boundaries, and combine them with results from an intensity-based detection method to construct probability maps at different time points with the Bernoulli mixture model (BMM). Simulated PET images with known ground truth and triphenyl tetrazolium chloride (TTC) staining slices validate the correctness of the time-series atlases. We demonstrate that these atlases could provide references when tracking the spatial-temporal dynamic development of lesions in rat brains.The middle cerebral artery occlusion (MCAO) procedure is widely used in ischemic stroke research. When using functional 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) images to study ischemic stroke, the difficulty in determining the region of interest (ROI) comes from two aspects: the large variations due to differences in uptake and reaction time and the consistency of different intensity normalization methods among subjects. Using the rat as a model animal, we propose time-series atlases of ischemic stroke after MCAO based on the PET images to annotate changes in ROIs. Concretely, we spatially align serial scans with a built PET template, use histograms of orientated gradient (HOG) features to detect lesion boundaries, and combine them with results from an intensity-based detection method to construct probability maps at different time points with the Bernoulli mixture model (BMM). Simulated PET images with known ground truth and triphenyl tetrazolium chloride (TTC) staining slices validate the correctness of the time-series atlases. We demonstrate that these atlases could provide references when tracking the spatial-temporal dynamic development of lesions in rat brains.
AbstractThe middle cerebral artery occlusion (MCAO) procedure is widely used in ischemic stroke research. When using functional 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) images to study ischemic stroke, the difficulty in determining the region of interest (ROI) comes from two aspects: the large variations due to differences in uptake and reaction time and the consistency of different intensity normalization methods among subjects. Using the rat as a model animal, we propose time-series atlases of ischemic stroke after MCAO based on the PET images to annotate changes in ROIs. Concretely, we spatially align serial scans with a built PET template, use histograms of orientated gradient (HOG) features to detect lesion boundaries, and combine them with results from an intensity-based detection method to construct probability maps at different time points with the Bernoulli mixture model (BMM). Simulated PET images with known ground truth and triphenyl tetrazolium chloride (TTC) staining slices validate the correctness of the time-series atlases. We demonstrate that these atlases could provide references when tracking the spatial–temporal dynamic development of lesions in rat brains.
ArticleNumber 109977
Author Zhang, Xuechen
Yu, Weichuan
Shen, Xiaoyan
Liu, Huafeng
Li, Jia
Tang, Hongtu
He, Wuxian
Li, Chenrui
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Ischemic stroke
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SSID ssj0004030
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Snippet The middle cerebral artery occlusion (MCAO) procedure is widely used in ischemic stroke research. When using functional 18F-fluorodeoxyglucose positron...
AbstractThe middle cerebral artery occlusion (MCAO) procedure is widely used in ischemic stroke research. When using functional 18F-fluorodeoxyglucose positron...
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pubmed
crossref
elsevier
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StartPage 109977
SubjectTerms Animals
Brain - diagnostic imaging
Disease Models, Animal
FDG-PET
Fluorodeoxyglucose F18
Image Processing, Computer-Assisted - methods
Infarction, Middle Cerebral Artery - diagnostic imaging
Internal Medicine
Ischemic stroke
Male
MCAO
Other
Positron-Emission Tomography - methods
Radiopharmaceuticals
Rats
Rats, Sprague-Dawley
Title Time-series atlases of the rat brain after middle cerebral artery occlusion using FDG-PET images
URI https://www.clinicalkey.com/#!/content/1-s2.0-S0010482525003282
https://www.clinicalkey.es/playcontent/1-s2.0-S0010482525003282
https://dx.doi.org/10.1016/j.compbiomed.2025.109977
https://www.ncbi.nlm.nih.gov/pubmed/40107019
https://www.proquest.com/docview/3179247436
Volume 190
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