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One registration multi-atlas-based pseudo-CT generation for attenuation correction in PET/MRI

The outcome of a detailed assessment of various strategies for atlas-based whole-body bone segmentation from magnetic resonance imaging (MRI) was exploited to select the optimal parameters and setting, with the aim of proposing a novel one-registration multi-atlas (ORMA) pseudo-CT generation approac... Full description

Journal Title: European journal of nuclear medicine and molecular imaging 2016-10, Vol.43 (11), p.2021-2035
Main Author: Arabi, Hossein
Other Authors: Zaidi, Habib
Format: Electronic Article Electronic Article
Language: eng ; dan
Subjects:
NMR
Publisher: Berlin/Heidelberg: Springer Berlin Heidelberg
ID: ISSN: 1619-7070
Link: https://www.ncbi.nlm.nih.gov/pubmed/27260522
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title: One registration multi-atlas-based pseudo-CT generation for attenuation correction in PET/MRI
format: Article
creator:
  • Arabi, Hossein
  • Zaidi, Habib
subjects:
  • Accuracy
  • Aged
  • Algorithms
  • Arithmetic
  • Artifacts
  • Atlas
  • Attenuation
  • Attenuation correction
  • Attenuation map
  • Bias
  • Bone and Bones - diagnostic imaging
  • Bone imaging
  • Bones
  • BRAIN
  • Cardiology
  • CLASSIFICATION
  • Computational efficiency
  • Computed tomography
  • Computer applications
  • Computing time
  • Correlation analysis
  • CT imaging
  • DEFORMATIONS
  • Diagnostic imaging
  • Female
  • Humans
  • Hybrid imaging
  • Image Enhancement - methods
  • Image Interpretation, Computer-Assisted - methods
  • Image processing
  • Image segmentation
  • IMAGES
  • Imaging
  • IMAGING-GUIDED ATTENUATION
  • Lungs
  • Magnetic resonance imaging
  • Magnetic Resonance Imaging - methods
  • Male
  • Maps
  • Mathematics
  • Medical imaging
  • Medicine
  • Medicine & Public Health
  • Multimodal Imaging - methods
  • NMR
  • Nuclear magnetic resonance
  • Nuclear Medicine
  • Oncology
  • Original Article
  • Orthopedics
  • Pattern Recognition, Automated - methods
  • PET-MRI
  • Positron emission
  • Positron emission tomography
  • Positron-Emission Tomography - methods
  • QUANTIFICATION
  • Quantitative analysis
  • Radiology
  • Registration
  • Reproducibility of Results
  • SEGMENTATION
  • Sensitivity and Specificity
  • Similarity
  • Similarity measures
  • STRATEGIES
  • Subtraction Technique
  • SYSTEMS
  • Target recognition
  • Tomography
  • Tomography, X-Ray Computed - methods
  • Transformation
  • Whole Body Imaging - methods
ispartof: European journal of nuclear medicine and molecular imaging, 2016-10, Vol.43 (11), p.2021-2035
description: The outcome of a detailed assessment of various strategies for atlas-based whole-body bone segmentation from magnetic resonance imaging (MRI) was exploited to select the optimal parameters and setting, with the aim of proposing a novel one-registration multi-atlas (ORMA) pseudo-CT generation approach. The proposed approach consists of only one online registration between the target and reference images, regardless of the number of atlas images (N), while for the remaining atlas images, the pre-computed transformation matrices to the reference image are used to align them to the target image. The performance characteristics of the proposed method were evaluated and compared with conventional atlas-based attenuation map generation strategies (direct registration of the entire atlas images followed by voxel-wise weighting (VWW) and arithmetic averaging atlas fusion). To this end, four different positron emission tomography (PET) attenuation maps were generated via arithmetic averaging and VWW scheme using both direct registration and ORMA approaches as well as the 3-class attenuation map obtained from the Philips Ingenuity TF PET/MRI scanner commonly used in the clinical setting. The evaluation was performed based on the accuracy of extracted whole-body bones by the different attenuation maps and by quantitative analysis of resulting PET images compared to CT-based attenuation-corrected PET images serving as reference. The comparison of validation metrics regarding the accuracy of extracted bone using the different techniques demonstrated the superiority of the VWW atlas fusion algorithm achieving a Dice similarity measure of 0.82 +/- 0.04 compared to arithmetic averaging atlas fusion (0.60 +/- 0.02), which uses conventional direct registration. Application of the ORMA approach modestly compromised the accuracy, yielding a Dice similarity measure of 0.76 +/- 0.05 for ORMA-VWW and 0.55 +/- 0.03 for ORMA-averaging. The results of quantitative PET analysis followed the same trend with less significant differences in terms of SUV bias, whereas massive improvements were observed compared to PET images corrected for attenuation using the 3-class attenuation map. The maximum absolute bias achieved by VWW and VWW-ORMA methods was 06.4 +/- 5.5 in the lung and 07.9 +/- 4.8 in the bone, respectively. The proposed algorithm is capable of generating decent attenuation maps. The quantitative analysis revealed a good correlation between PET images corrected for attenuation
language: eng ; dan
source:
identifier: ISSN: 1619-7070
fulltext: no_fulltext
issn:
  • 1619-7070
  • 1619-7089
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titleOne registration multi-atlas-based pseudo-CT generation for attenuation correction in PET/MRI
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descriptionThe outcome of a detailed assessment of various strategies for atlas-based whole-body bone segmentation from magnetic resonance imaging (MRI) was exploited to select the optimal parameters and setting, with the aim of proposing a novel one-registration multi-atlas (ORMA) pseudo-CT generation approach. The proposed approach consists of only one online registration between the target and reference images, regardless of the number of atlas images (N), while for the remaining atlas images, the pre-computed transformation matrices to the reference image are used to align them to the target image. The performance characteristics of the proposed method were evaluated and compared with conventional atlas-based attenuation map generation strategies (direct registration of the entire atlas images followed by voxel-wise weighting (VWW) and arithmetic averaging atlas fusion). To this end, four different positron emission tomography (PET) attenuation maps were generated via arithmetic averaging and VWW scheme using both direct registration and ORMA approaches as well as the 3-class attenuation map obtained from the Philips Ingenuity TF PET/MRI scanner commonly used in the clinical setting. The evaluation was performed based on the accuracy of extracted whole-body bones by the different attenuation maps and by quantitative analysis of resulting PET images compared to CT-based attenuation-corrected PET images serving as reference. The comparison of validation metrics regarding the accuracy of extracted bone using the different techniques demonstrated the superiority of the VWW atlas fusion algorithm achieving a Dice similarity measure of 0.82 +/- 0.04 compared to arithmetic averaging atlas fusion (0.60 +/- 0.02), which uses conventional direct registration. Application of the ORMA approach modestly compromised the accuracy, yielding a Dice similarity measure of 0.76 +/- 0.05 for ORMA-VWW and 0.55 +/- 0.03 for ORMA-averaging. The results of quantitative PET analysis followed the same trend with less significant differences in terms of SUV bias, whereas massive improvements were observed compared to PET images corrected for attenuation using the 3-class attenuation map. The maximum absolute bias achieved by VWW and VWW-ORMA methods was 06.4 +/- 5.5 in the lung and 07.9 +/- 4.8 in the bone, respectively. The proposed algorithm is capable of generating decent attenuation maps. The quantitative analysis revealed a good correlation between PET images corrected for attenuation using the proposed pseudo-CT generation approach and the corresponding CT images. The computational time is reduced by a factor of 1/N at the expense of a modest decrease in quantitative accuracy, thus allowing us to achieve a reasonable compromise between computing time and quantitative performance.
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languageeng ; dan
publisherBerlin/Heidelberg: Springer Berlin Heidelberg
subjectAccuracy ; Aged ; Algorithms ; Arithmetic ; Artifacts ; Atlas ; Attenuation ; Attenuation correction ; Attenuation map ; Bias ; Bone and Bones - diagnostic imaging ; Bone imaging ; Bones ; BRAIN ; Cardiology ; CLASSIFICATION ; Computational efficiency ; Computed tomography ; Computer applications ; Computing time ; Correlation analysis ; CT imaging ; DEFORMATIONS ; Diagnostic imaging ; Female ; Humans ; Hybrid imaging ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Image processing ; Image segmentation ; IMAGES ; Imaging ; IMAGING-GUIDED ATTENUATION ; Lungs ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Maps ; Mathematics ; Medical imaging ; Medicine ; Medicine & Public Health ; Multimodal Imaging - methods ; NMR ; Nuclear magnetic resonance ; Nuclear Medicine ; Oncology ; Original Article ; Orthopedics ; Pattern Recognition, Automated - methods ; PET-MRI ; Positron emission ; Positron emission tomography ; Positron-Emission Tomography - methods ; QUANTIFICATION ; Quantitative analysis ; Radiology ; Registration ; Reproducibility of Results ; SEGMENTATION ; Sensitivity and Specificity ; Similarity ; Similarity measures ; STRATEGIES ; Subtraction Technique ; SYSTEMS ; Target recognition ; Tomography ; Tomography, X-Ray Computed - methods ; Transformation ; Whole Body Imaging - methods
ispartofEuropean journal of nuclear medicine and molecular imaging, 2016-10, Vol.43 (11), p.2021-2035
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descriptionThe outcome of a detailed assessment of various strategies for atlas-based whole-body bone segmentation from magnetic resonance imaging (MRI) was exploited to select the optimal parameters and setting, with the aim of proposing a novel one-registration multi-atlas (ORMA) pseudo-CT generation approach. The proposed approach consists of only one online registration between the target and reference images, regardless of the number of atlas images (N), while for the remaining atlas images, the pre-computed transformation matrices to the reference image are used to align them to the target image. The performance characteristics of the proposed method were evaluated and compared with conventional atlas-based attenuation map generation strategies (direct registration of the entire atlas images followed by voxel-wise weighting (VWW) and arithmetic averaging atlas fusion). To this end, four different positron emission tomography (PET) attenuation maps were generated via arithmetic averaging and VWW scheme using both direct registration and ORMA approaches as well as the 3-class attenuation map obtained from the Philips Ingenuity TF PET/MRI scanner commonly used in the clinical setting. The evaluation was performed based on the accuracy of extracted whole-body bones by the different attenuation maps and by quantitative analysis of resulting PET images compared to CT-based attenuation-corrected PET images serving as reference. The comparison of validation metrics regarding the accuracy of extracted bone using the different techniques demonstrated the superiority of the VWW atlas fusion algorithm achieving a Dice similarity measure of 0.82 +/- 0.04 compared to arithmetic averaging atlas fusion (0.60 +/- 0.02), which uses conventional direct registration. Application of the ORMA approach modestly compromised the accuracy, yielding a Dice similarity measure of 0.76 +/- 0.05 for ORMA-VWW and 0.55 +/- 0.03 for ORMA-averaging. The results of quantitative PET analysis followed the same trend with less significant differences in terms of SUV bias, whereas massive improvements were observed compared to PET images corrected for attenuation using the 3-class attenuation map. The maximum absolute bias achieved by VWW and VWW-ORMA methods was 06.4 +/- 5.5 in the lung and 07.9 +/- 4.8 in the bone, respectively. The proposed algorithm is capable of generating decent attenuation maps. The quantitative analysis revealed a good correlation between PET images corrected for attenuation using the proposed pseudo-CT generation approach and the corresponding CT images. The computational time is reduced by a factor of 1/N at the expense of a modest decrease in quantitative accuracy, thus allowing us to achieve a reasonable compromise between computing time and quantitative performance.
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2Algorithms
3Arithmetic
4Artifacts
5Atlas
6Attenuation
7Attenuation correction
8Attenuation map
9Bias
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12Bones
13BRAIN
14Cardiology
15CLASSIFICATION
16Computational efficiency
17Computed tomography
18Computer applications
19Computing time
20Correlation analysis
21CT imaging
22DEFORMATIONS
23Diagnostic imaging
24Female
25Humans
26Hybrid imaging
27Image Enhancement - methods
28Image Interpretation, Computer-Assisted - methods
29Image processing
30Image segmentation
31IMAGES
32Imaging
33IMAGING-GUIDED ATTENUATION
34Lungs
35Magnetic resonance imaging
36Magnetic Resonance Imaging - methods
37Male
38Maps
39Mathematics
40Medical imaging
41Medicine
42Medicine & Public Health
43Multimodal Imaging - methods
44NMR
45Nuclear magnetic resonance
46Nuclear Medicine
47Oncology
48Original Article
49Orthopedics
50Pattern Recognition, Automated - methods
51PET-MRI
52Positron emission
53Positron emission tomography
54Positron-Emission Tomography - methods
55QUANTIFICATION
56Quantitative analysis
57Radiology
58Registration
59Reproducibility of Results
60SEGMENTATION
61Sensitivity and Specificity
62Similarity
63Similarity measures
64STRATEGIES
65Subtraction Technique
66SYSTEMS
67Target recognition
68Tomography
69Tomography, X-Ray Computed - methods
70Transformation
71Whole Body Imaging - methods
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17Computed tomography
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21CT imaging
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25Humans
26Hybrid imaging
27Image Enhancement - methods
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43Multimodal Imaging - methods
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abstractThe outcome of a detailed assessment of various strategies for atlas-based whole-body bone segmentation from magnetic resonance imaging (MRI) was exploited to select the optimal parameters and setting, with the aim of proposing a novel one-registration multi-atlas (ORMA) pseudo-CT generation approach. The proposed approach consists of only one online registration between the target and reference images, regardless of the number of atlas images (N), while for the remaining atlas images, the pre-computed transformation matrices to the reference image are used to align them to the target image. The performance characteristics of the proposed method were evaluated and compared with conventional atlas-based attenuation map generation strategies (direct registration of the entire atlas images followed by voxel-wise weighting (VWW) and arithmetic averaging atlas fusion). To this end, four different positron emission tomography (PET) attenuation maps were generated via arithmetic averaging and VWW scheme using both direct registration and ORMA approaches as well as the 3-class attenuation map obtained from the Philips Ingenuity TF PET/MRI scanner commonly used in the clinical setting. The evaluation was performed based on the accuracy of extracted whole-body bones by the different attenuation maps and by quantitative analysis of resulting PET images compared to CT-based attenuation-corrected PET images serving as reference. The comparison of validation metrics regarding the accuracy of extracted bone using the different techniques demonstrated the superiority of the VWW atlas fusion algorithm achieving a Dice similarity measure of 0.82 +/- 0.04 compared to arithmetic averaging atlas fusion (0.60 +/- 0.02), which uses conventional direct registration. Application of the ORMA approach modestly compromised the accuracy, yielding a Dice similarity measure of 0.76 +/- 0.05 for ORMA-VWW and 0.55 +/- 0.03 for ORMA-averaging. The results of quantitative PET analysis followed the same trend with less significant differences in terms of SUV bias, whereas massive improvements were observed compared to PET images corrected for attenuation using the 3-class attenuation map. The maximum absolute bias achieved by VWW and VWW-ORMA methods was 06.4 +/- 5.5 in the lung and 07.9 +/- 4.8 in the bone, respectively. The proposed algorithm is capable of generating decent attenuation maps. The quantitative analysis revealed a good correlation between PET images corrected for attenuation using the proposed pseudo-CT generation approach and the corresponding CT images. The computational time is reduced by a factor of 1/N at the expense of a modest decrease in quantitative accuracy, thus allowing us to achieve a reasonable compromise between computing time and quantitative performance.
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