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

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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}

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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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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