Generation of Mr-Based Attenuation Correction Map of Pet Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue From Single Short-Te Mr Imaging Modality

Generation of Mr-Based Attenuation Correction Map of Pet Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue From Single Short-Te Mr Imaging Modality Publisher

Kazerooni AF^{1, 3} ; Aarabi MH^{1, 3} ; Ay M^{2, 3} ; Rad HS^{1, 3}

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1. Quantitative MR Imaging and Spectroscopy Group, Research Center for Cellular and Molecular Imaging, Tehran University of Medical Sciences, Tehran, Iran
2. Medical Imaging Systems Group, Research Center for Cellular and Molecular Imaging, Tehran University of Medical Sciences, Tehran, Iran
3. Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

Source: Lecture Notes in Computational Vision and Biomechanics Published:2015

Abstract

Recently introduced PET/MRI scanners present significant advantages in comparison with PET/CT, including better soft-tissue contrast, lower radiation dose, and truly simultaneous imaging capabilities. However, the lack of an accurate method for generation ofMR-based attenuation map (μ-map) at 511 keV is hampering further development and wider acceptance of this technology. Here, we present a new method for the MR-based attenuation correction map (μ-map), employing a proposed short echo-time (STE) MR imaging technique along with the nearly automatic segmentation. This method repeatedly applies active contours inhomogeneity correction, multi-class spatial fuzzy clustering (SFCM), followed by shape analysis, to classify the images into cortical bone, air, and soft tissue classes. The proposed segmentation method returned sensitivity of 81% for cortical bone and above 90% for soft tissue and air. These results suggest that this technique is accurate, efficient, and robust for discriminating bony structures from the neighboring air and soft tissue in STE-MR images, which is suitable for generating MR-based μ-maps. © Springer International Publishing Switzerland 2015.

2. 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)

3. Capturing Bone Signal in Mri of Pelvis, As a Large Fov Region, Using Twist Sequence and Generating a 5-Class Attenuation Map for Prostate Pet/Mri Imaging, Molecular Imaging (2018)

4. Mr-Guided Attenuation Map for Prostate Pet-Mri: An Intensity and Morphologic-Based Segmentation Approach for Generating a Five-Class Attenuation Map in Pelvic Region, Annals of Nuclear Medicine (2017)

5. Design, Optimization and Performance Evaluation of Bm-Pet: A Simulation Study, Nuclear Instruments and Methods in Physics Research# Section A: Accelerators# Spectrometers# Detectors and Associated Equipment (2019)

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Mohammad Reza Ay (5)

Hamidreza Saligheh Rad (4)

Style	Citing Format
MLA	Kazerooni AF, et al.. "Generation of Mr-Based Attenuation Correction Map of Pet Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue From Single Short-Te Mr Imaging Modality." Lecture Notes in Computational Vision and Biomechanics, vol. 22, no. , 2015, pp. 139-147.
APA	Kazerooni AF, Aarabi MH, Ay M, Rad HS (2015). Generation of Mr-Based Attenuation Correction Map of Pet Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue From Single Short-Te Mr Imaging Modality. Lecture Notes in Computational Vision and Biomechanics, 22(), 139-147.
Chicago	Kazerooni AF, Aarabi MH, Ay M, Rad HS. "Generation of Mr-Based Attenuation Correction Map of Pet Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue From Single Short-Te Mr Imaging Modality." Lecture Notes in Computational Vision and Biomechanics 22, no. (2015): 139-147.
Harvard	Kazerooni AF et al. (2015) 'Generation of Mr-Based Attenuation Correction Map of Pet Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue From Single Short-Te Mr Imaging Modality', Lecture Notes in Computational Vision and Biomechanics, 22(), pp. 139-147.
Vancouver	Kazerooni AF, Aarabi MH, Ay M, Rad HS. Generation of Mr-Based Attenuation Correction Map of Pet Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue From Single Short-Te Mr Imaging Modality. Lecture Notes in Computational Vision and Biomechanics. 2015;22():139-147.
BibTex	@article{ author = {Kazerooni AF and Aarabi MH and Ay M and Rad HS}, title = {Generation of Mr-Based Attenuation Correction Map of Pet Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue From Single Short-Te Mr Imaging Modality}, journal = {Lecture Notes in Computational Vision and Biomechanics}, volume = {22}, number = {}, pages = {139-147}, year = {2015} }
RIS	TY - JOUR AU - Kazerooni AF AU - Aarabi MH AU - Ay M AU - Rad HS TI - Generation of Mr-Based Attenuation Correction Map of Pet Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue From Single Short-Te Mr Imaging Modality JO - Lecture Notes in Computational Vision and Biomechanics VL - 22 IS - SP - 139 EP - 147 PY - 2015 ER -

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