Single Ste-Mr Acquisition in Mr-Based Attenuation Correction of Brain Pet Imaging Employing a Fully Automated and Reproducible Level-Set Segmentation Approach

Single Ste-Mr Acquisition in Mr-Based Attenuation Correction of Brain Pet Imaging Employing a Fully Automated and Reproducible Level-Set Segmentation Approach Publisher Pubmed

Fathi Kazerooni A^{1, 2} ; Ay MR^{2, 3} ; Arfaie S⁴ ; Khateri P³ ; Saligheh Rad H^{1, 2}

Show Affiliations

1. Quantitative MR Imaging and Spectroscopy Group (QMISG), Research Center for Molecular and Cellular Imaging (RCMCI), Tehran University of Medical Sciences, Tehran, Iran
2. Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
3. Medical Imaging Systems Group (MISG), Research Center for Molecular and Cellular Imaging (RCMCI), Tehran University of Medical Sciences, Tehran, Iran
4. College of Letters and Science, Department of Molecular and Cell Biology, University of California, Berkeley, United States

Source: Molecular Imaging and Biology Published:2017

Abstract

Purpose: The aim of this study is to introduce a fully automatic and reproducible short echo-time (STE) magnetic resonance imaging (MRI) segmentation approach for MR-based attenuation correction of positron emission tomography (PET) data in head region. Procedures: Single STE-MR imaging was followed by generating attenuation correction maps (μ-maps) through exploiting an automated clustering-based level-set segmentation approach to classify head images into three regions of cortical bone, air, and soft tissue. Quantitative assessment was performed by comparing the STE-derived region classes with the corresponding regions extracted from X-ray computed tomography (CT) images. Results: The proposed segmentation method returned accuracy and specificity values of over 90 % for cortical bone, air, and soft tissue regions. The MR- and CT-derived μ-maps were compared by quantitative histogram analysis. Conclusions: The results suggest that the proposed automated segmentation approach can reliably discriminate bony structures from the proximal air and soft tissue in single STE-MR images, which is suitable for generating MR-based μ-maps for attenuation correction of PET data. © 2016, World Molecular Imaging Society.

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Mohammad Reza Ay (9)

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Style	Citing Format
MLA	Fathi Kazerooni A, et al.. "Single Ste-Mr Acquisition in Mr-Based Attenuation Correction of Brain Pet Imaging Employing a Fully Automated and Reproducible Level-Set Segmentation Approach." Molecular Imaging and Biology, vol. 19, no. 1, 2017, pp. 143-152.
APA	Fathi Kazerooni A, Ay MR, Arfaie S, Khateri P, Saligheh Rad H (2017). Single Ste-Mr Acquisition in Mr-Based Attenuation Correction of Brain Pet Imaging Employing a Fully Automated and Reproducible Level-Set Segmentation Approach. Molecular Imaging and Biology, 19(1), 143-152.
Chicago	Fathi Kazerooni A, Ay MR, Arfaie S, Khateri P, Saligheh Rad H. "Single Ste-Mr Acquisition in Mr-Based Attenuation Correction of Brain Pet Imaging Employing a Fully Automated and Reproducible Level-Set Segmentation Approach." Molecular Imaging and Biology 19, no. 1 (2017): 143-152.
Harvard	Fathi Kazerooni A et al. (2017) 'Single Ste-Mr Acquisition in Mr-Based Attenuation Correction of Brain Pet Imaging Employing a Fully Automated and Reproducible Level-Set Segmentation Approach', Molecular Imaging and Biology, 19(1), pp. 143-152.
Vancouver	Fathi Kazerooni A, Ay MR, Arfaie S, Khateri P, Saligheh Rad H. Single Ste-Mr Acquisition in Mr-Based Attenuation Correction of Brain Pet Imaging Employing a Fully Automated and Reproducible Level-Set Segmentation Approach. Molecular Imaging and Biology. 2017;19(1):143-152.
BibTex	@article{ author = {Fathi Kazerooni A and Ay MR and Arfaie S and Khateri P and Saligheh Rad H}, title = {Single Ste-Mr Acquisition in Mr-Based Attenuation Correction of Brain Pet Imaging Employing a Fully Automated and Reproducible Level-Set Segmentation Approach}, journal = {Molecular Imaging and Biology}, volume = {19}, number = {1}, pages = {143-152}, year = {2017} }
RIS	TY - JOUR AU - Fathi Kazerooni A AU - Ay MR AU - Arfaie S AU - Khateri P AU - Saligheh Rad H TI - Single Ste-Mr Acquisition in Mr-Based Attenuation Correction of Brain Pet Imaging Employing a Fully Automated and Reproducible Level-Set Segmentation Approach JO - Molecular Imaging and Biology VL - 19 IS - 1 SP - 143 EP - 152 PY - 2017 ER -

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