A comparison of five partial volume correction methods for Tau and Amyloid PET imaging with [18F]THK5351 and [11C]PIB
Purpose To suppress partial volume effect (PVE) in brain PET, there have been many algorithms proposed. However, each methodology has different property due to its assumption and algorithms. Our aim of this study was to investigate the difference among partial volume correction (PVC) method for tau...
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Published in | Annals of nuclear medicine Vol. 31; no. 7; pp. 563 - 569 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Tokyo
Springer Japan
01.08.2017
Springer Nature B.V |
Subjects | |
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Abstract | Purpose
To suppress partial volume effect (PVE) in brain PET, there have been many algorithms proposed. However, each methodology has different property due to its assumption and algorithms. Our aim of this study was to investigate the difference among partial volume correction (PVC) method for tau and amyloid PET study.
Methods
We investigated two of the most commonly used PVC methods, Müller-Gärtner (MG) and geometric transfer matrix (GTM) and also other three methods for clinical tau and amyloid PET imaging. One healthy control (HC) and one Alzheimer’s disease (AD) PET studies of both [
18
F]THK5351 and [
11
C]PIB were performed using a Eminence STARGATE scanner (Shimadzu Inc., Kyoto, Japan). All PET images were corrected for PVE by MG, GTM, Labbé (LABBE), Regional voxel-based (RBV), and Iterative Yang (IY) methods, with segmented or parcellated anatomical information processed by FreeSurfer, derived from individual MR images. PVC results of 5 algorithms were compared with the uncorrected data.
Results
In regions of high uptake of [
18
F]THK5351 and [
11
C]PIB, different PVCs demonstrated different SUVRs. The degree of difference between PVE uncorrected and corrected depends on not only PVC algorithm but also type of tracer and subject condition.
Conclusion
Presented PVC methods are straight-forward to implement but the corrected images require careful interpretation as different methods result in different levels of recovery. |
---|---|
AbstractList | Purpose
To suppress partial volume effect (PVE) in brain PET, there have been many algorithms proposed. However, each methodology has different property due to its assumption and algorithms. Our aim of this study was to investigate the difference among partial volume correction (PVC) method for tau and amyloid PET study.
Methods
We investigated two of the most commonly used PVC methods, Müller-Gärtner (MG) and geometric transfer matrix (GTM) and also other three methods for clinical tau and amyloid PET imaging. One healthy control (HC) and one Alzheimer’s disease (AD) PET studies of both [
18
F]THK5351 and [
11
C]PIB were performed using a Eminence STARGATE scanner (Shimadzu Inc., Kyoto, Japan). All PET images were corrected for PVE by MG, GTM, Labbé (LABBE), Regional voxel-based (RBV), and Iterative Yang (IY) methods, with segmented or parcellated anatomical information processed by FreeSurfer, derived from individual MR images. PVC results of 5 algorithms were compared with the uncorrected data.
Results
In regions of high uptake of [
18
F]THK5351 and [
11
C]PIB, different PVCs demonstrated different SUVRs. The degree of difference between PVE uncorrected and corrected depends on not only PVC algorithm but also type of tracer and subject condition.
Conclusion
Presented PVC methods are straight-forward to implement but the corrected images require careful interpretation as different methods result in different levels of recovery. Purpose To suppress partial volume effect (PVE) in brain PET, there have been many algorithms proposed. However, each methodology has different property due to its assumption and algorithms. Our aim of this study was to investigate the difference among partial volume correction (PVC) method for tau and amyloid PET study. Methods We investigated two of the most commonly used PVC methods, Müller-Gärtner (MG) and geometric transfer matrix (GTM) and also other three methods for clinical tau and amyloid PET imaging. One healthy control (HC) and one Alzheimer's disease (AD) PET studies of both [18F]THK5351 and [11C]PIB were performed using a Eminence STARGATE scanner (Shimadzu Inc., Kyoto, Japan). All PET images were corrected for PVE by MG, GTM, Labbé (LABBE), Regional voxel-based (RBV), and Iterative Yang (IY) methods, with segmented or parcellated anatomical information processed by FreeSurfer, derived from individual MR images. PVC results of 5 algorithms were compared with the uncorrected data. Results In regions of high uptake of [18F]THK5351 and [11C]PIB, different PVCs demonstrated different SUVRs. The degree of difference between PVE uncorrected and corrected depends on not only PVC algorithm but also type of tracer and subject condition. Conclusion Presented PVC methods are straight-forward to implement but the corrected images require careful interpretation as different methods result in different levels of recovery. To suppress partial volume effect (PVE) in brain PET, there have been many algorithms proposed. However, each methodology has different property due to its assumption and algorithms. Our aim of this study was to investigate the difference among partial volume correction (PVC) method for tau and amyloid PET study. We investigated two of the most commonly used PVC methods, Müller-Gärtner (MG) and geometric transfer matrix (GTM) and also other three methods for clinical tau and amyloid PET imaging. One healthy control (HC) and one Alzheimer's disease (AD) PET studies of both [ F]THK5351 and [ C]PIB were performed using a Eminence STARGATE scanner (Shimadzu Inc., Kyoto, Japan). All PET images were corrected for PVE by MG, GTM, Labbé (LABBE), Regional voxel-based (RBV), and Iterative Yang (IY) methods, with segmented or parcellated anatomical information processed by FreeSurfer, derived from individual MR images. PVC results of 5 algorithms were compared with the uncorrected data. In regions of high uptake of [ F]THK5351 and [ C]PIB, different PVCs demonstrated different SUVRs. The degree of difference between PVE uncorrected and corrected depends on not only PVC algorithm but also type of tracer and subject condition. Presented PVC methods are straight-forward to implement but the corrected images require careful interpretation as different methods result in different levels of recovery. PURPOSETo suppress partial volume effect (PVE) in brain PET, there have been many algorithms proposed. However, each methodology has different property due to its assumption and algorithms. Our aim of this study was to investigate the difference among partial volume correction (PVC) method for tau and amyloid PET study. METHODSWe investigated two of the most commonly used PVC methods, Müller-Gärtner (MG) and geometric transfer matrix (GTM) and also other three methods for clinical tau and amyloid PET imaging. One healthy control (HC) and one Alzheimer's disease (AD) PET studies of both [18F]THK5351 and [11C]PIB were performed using a Eminence STARGATE scanner (Shimadzu Inc., Kyoto, Japan). All PET images were corrected for PVE by MG, GTM, Labbé (LABBE), Regional voxel-based (RBV), and Iterative Yang (IY) methods, with segmented or parcellated anatomical information processed by FreeSurfer, derived from individual MR images. PVC results of 5 algorithms were compared with the uncorrected data. RESULTSIn regions of high uptake of [18F]THK5351 and [11C]PIB, different PVCs demonstrated different SUVRs. The degree of difference between PVE uncorrected and corrected depends on not only PVC algorithm but also type of tracer and subject condition. CONCLUSIONPresented PVC methods are straight-forward to implement but the corrected images require careful interpretation as different methods result in different levels of recovery. |
Author | Iwata, Ren Okamura, Nobuyuki Watabe, Hiroshi Gonda, Kohsuke Ishikawa, Yoichi Ibaraki, Masanobu Tashiro, Manabu Yanai, Kazuhiko Oyama, Senri Shidahara, Miho Matsubara, Keisuke Thomas, Benjamin A. Watanuki, Shoichi Furumoto, Shozo |
Author_xml | – sequence: 1 givenname: Miho orcidid: 0000-0003-3647-2299 surname: Shidahara fullname: Shidahara, Miho email: shidahara@med.tohoku.ac.jp organization: Department of Medical Physics, Tohoku University Graduate School of Medicine, Division of Cyclotron, Nuclear Medicine, Cyclotron and Radioisotope Center, Tohoku University – sequence: 2 givenname: Benjamin A. surname: Thomas fullname: Thomas, Benjamin A. organization: ASTAR-NUS Clinical Imaging Research Centre, Institute of Nuclear Medicine, University College London – sequence: 3 givenname: Nobuyuki surname: Okamura fullname: Okamura, Nobuyuki organization: Division of Pharmacology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University – sequence: 4 givenname: Masanobu surname: Ibaraki fullname: Ibaraki, Masanobu organization: Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita – sequence: 5 givenname: Keisuke surname: Matsubara fullname: Matsubara, Keisuke organization: Department of Radiology and Nuclear Medicine, Research Institute for Brain and Blood Vessels-Akita – sequence: 6 givenname: Senri surname: Oyama fullname: Oyama, Senri organization: Department of Medical Physics, Tohoku University Graduate School of Medicine – sequence: 7 givenname: Yoichi surname: Ishikawa fullname: Ishikawa, Yoichi organization: Division of Radiopharmaceutical Chemistry, Cyclotron and Radioisotope Center, Tohoku University – sequence: 8 givenname: Shoichi surname: Watanuki fullname: Watanuki, Shoichi organization: Division of Cyclotron, Nuclear Medicine, Cyclotron and Radioisotope Center, Tohoku University – sequence: 9 givenname: Ren surname: Iwata fullname: Iwata, Ren organization: Division of Radiopharmaceutical Chemistry, Cyclotron and Radioisotope Center, Tohoku University – sequence: 10 givenname: Shozo surname: Furumoto fullname: Furumoto, Shozo organization: Division of Radiopharmaceutical Chemistry, Cyclotron and Radioisotope Center, Tohoku University – sequence: 11 givenname: Manabu surname: Tashiro fullname: Tashiro, Manabu organization: Division of Cyclotron, Nuclear Medicine, Cyclotron and Radioisotope Center, Tohoku University – sequence: 12 givenname: Kazuhiko surname: Yanai fullname: Yanai, Kazuhiko organization: Department of Pharmacology, Tohoku University School of Medicine – sequence: 13 givenname: Kohsuke surname: Gonda fullname: Gonda, Kohsuke organization: Department of Medical Physics, Tohoku University Graduate School of Medicine – sequence: 14 givenname: Hiroshi surname: Watabe fullname: Watabe, Hiroshi organization: Division of Radiation Protection and Safety Control, Cyclotron and Radioisotope Center, Tohoku University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28639126$$D View this record in MEDLINE/PubMed |
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To suppress partial volume effect (PVE) in brain PET, there have been many algorithms proposed. However, each methodology has different property due to... To suppress partial volume effect (PVE) in brain PET, there have been many algorithms proposed. However, each methodology has different property due to its... Purpose To suppress partial volume effect (PVE) in brain PET, there have been many algorithms proposed. However, each methodology has different property due to... PURPOSETo suppress partial volume effect (PVE) in brain PET, there have been many algorithms proposed. However, each methodology has different property due to... |
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SubjectTerms | Aged, 80 and over Algorithms Alzheimer's disease Aminopyridines Amyloid Amyloid - metabolism Benzothiazoles Brain Disease control Female Humans Image Processing, Computer-Assisted - methods Imaging Information processing Male Medicine Medicine & Public Health Neurodegenerative diseases Neuroimaging Nuclear Medicine Polyvinyl chloride Positron emission Positron emission tomography Quinolines Radiology Short Communication Studies Tau protein tau Proteins - metabolism Tomography |
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Title | A comparison of five partial volume correction methods for Tau and Amyloid PET imaging with [18F]THK5351 and [11C]PIB |
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