当前位置： SCI文献检索 > MOLECULAR IMAGING AND BIOLOGY期刊下所有文献 > 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.

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 (R (2) > 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.

journal_name

Mol Imaging Biol

journal_title

Molecular imaging and biology

authors

Khateri P,Saligheh Rad H,Jafari AH,Fathi Kazerooni A,Akbarzadeh A,Shojae Moghadam M,Aryan A,Ghafarian P,Ay MR

doi

10.1007/s11307-015-0849-1

subject

Has Abstract

pub_date

2015-12-01 00:00:00

pages

884-92

issue

6

eissn

1536-1632

issn

1860-2002

pii

10.1007/s11307-015-0849-1

journal_volume

17

pub_type

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