Generation of a Four-Class Attenuation Map for Mri-Based Attenuation Correction of Pet Data in the Head Area Using a Novel Combination of Ste/Dixon-Mri and Fcm Clustering

Generation of a Four-Class Attenuation Map for Mri-Based Attenuation Correction of Pet Data in the Head Area Using a Novel Combination of Ste/Dixon-Mri and Fcm Clustering Publisher Pubmed

Khateri P¹ ; Saligheh Rad H^{1, 2} ; Jafari AH^{2, 3, 4} ; Fathi Kazerooni A^{1, 2} ; Akbarzadeh A¹ ; Shojae Moghadam M^{3, 4} ; Aryan A⁵ ; Ghafarian P^{6, 7} ; Ay MR^{1, 2}

Show Affiliations

1. Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
2. Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
3. Research Center for Biomedical and Robotics Technology, Tehran University of Medical Sciences, Tehran, Iran
4. MRI Imaging Center, Payambaran Hospital, Tehran, Iran
5. Imaging Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
6. Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
7. PET/CT and Cyclotron Center, Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Source: Molecular Imaging and Biology Published:2015

Abstract

Purpose: The aim of this study is to generate a four-class magnetic resonance imaging (MRI)-based attenuation map (μ-map) for attenuation correction of positron emission tomography (PET) data of the head area using a novel combination of short echo time (STE)/Dixon-MRI and a dedicated image segmentation method. Procedures: MR images of the head area were acquired using STE and two-point Dixon sequences. μ-maps were derived from MRI images based on a fuzzy C-means (FCM) clustering method along with morphologic operations. Quantitative assessment was performed to evaluate generated MRI-based μ-maps compared to X-ray computed tomography (CT)-based μ-maps. Results: The voxel-by-voxel comparison of MR-based and CT-based segmentation results yielded an average of more than 95 % for accuracy and specificity in the cortical bone, soft tissue, and air region. MRI-based μ-maps show a high correlation with those derived from CT scans (R2 > 0.95). Conclusions: Results indicate that STE/Dixon-MRI data in combination with FCM-based segmentation yields precise MR-based μ-maps for PET attenuation correction in hybrid PET/MRI systems. © 2015, World Molecular Imaging Society.

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Mohammad Reza Ay (10)

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Style	Citing Format
MLA	Khateri P, et al.. "Generation of a Four-Class Attenuation Map for Mri-Based Attenuation Correction of Pet Data in the Head Area Using a Novel Combination of Ste/Dixon-Mri and Fcm Clustering." Molecular Imaging and Biology, vol. 17, no. 6, 2015, pp. 884-892.
APA	Khateri P, Saligheh Rad H, Jafari AH, Fathi Kazerooni A, Akbarzadeh A, Shojae Moghadam M, Aryan A, Ghafarian P, Ay MR (2015). Generation of a Four-Class Attenuation Map for Mri-Based Attenuation Correction of Pet Data in the Head Area Using a Novel Combination of Ste/Dixon-Mri and Fcm Clustering. Molecular Imaging and Biology, 17(6), 884-892.
Chicago	Khateri P, Saligheh Rad H, Jafari AH, Fathi Kazerooni A, Akbarzadeh A, Shojae Moghadam M, Aryan A, Ghafarian P, Ay MR. "Generation of a Four-Class Attenuation Map for Mri-Based Attenuation Correction of Pet Data in the Head Area Using a Novel Combination of Ste/Dixon-Mri and Fcm Clustering." Molecular Imaging and Biology 17, no. 6 (2015): 884-892.
Harvard	Khateri P et al. (2015) 'Generation of a Four-Class Attenuation Map for Mri-Based Attenuation Correction of Pet Data in the Head Area Using a Novel Combination of Ste/Dixon-Mri and Fcm Clustering', Molecular Imaging and Biology, 17(6), pp. 884-892.
Vancouver	Khateri P, Saligheh Rad H, Jafari AH, Fathi Kazerooni A, Akbarzadeh A, Shojae Moghadam M, et al.. Generation of a Four-Class Attenuation Map for Mri-Based Attenuation Correction of Pet Data in the Head Area Using a Novel Combination of Ste/Dixon-Mri and Fcm Clustering. Molecular Imaging and Biology. 2015;17(6):884-892.
BibTex	@article{ author = {Khateri P and Saligheh Rad H and Jafari AH and Fathi Kazerooni A and Akbarzadeh A and Shojae Moghadam M and Aryan A and Ghafarian P and Ay MR}, title = {Generation of a Four-Class Attenuation Map for Mri-Based Attenuation Correction of Pet Data in the Head Area Using a Novel Combination of Ste/Dixon-Mri and Fcm Clustering}, journal = {Molecular Imaging and Biology}, volume = {17}, number = {6}, pages = {884-892}, year = {2015} }
RIS	TY - JOUR AU - Khateri P AU - Saligheh Rad H AU - Jafari AH AU - Fathi Kazerooni A AU - Akbarzadeh A AU - Shojae Moghadam M AU - Aryan A AU - Ghafarian P AU - Ay MR TI - Generation of a Four-Class Attenuation Map for Mri-Based Attenuation Correction of Pet Data in the Head Area Using a Novel Combination of Ste/Dixon-Mri and Fcm Clustering JO - Molecular Imaging and Biology VL - 17 IS - 6 SP - 884 EP - 892 PY - 2015 ER -

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