https://scholars.lib.ntu.edu.tw/handle/123456789/611673
標題: | An SPM8-based approach for attenuation correction combining segmentation and nonrigid template formation: Application to simultaneous PET/MR Brain Imaging | 作者: | Izquierdo-Garcia D. Hansen A.E. F?rster S. Benoit D. Schachoff S. F?rst S. Chen K.T. Chonde D.B. Catana C. TZE-HSIANG CHEN |
關鍵字: | fluorodeoxyglucose f 18;gadolinium pentetate meglumine;o (2 fluoroethyl) tyrosine f 18;radiopharmaceutical agent;unclassified drug;air;Article;attenuation correction;bone;brain tumor;cerebrospinal fluid;clinical article;computer assisted tomography;controlled study;data analysis;data analysis software;diagnostic test accuracy study;glioblastoma;gold standard;gray matter;human;image processing;image reconstruction;mild cognitive impairment;neuroimaging;nuclear magnetic resonance imaging;nuclear magnetic resonance scanner;PET-CT scanner;positron emission tomography;quality control procedures;radiation attenuation;soft tissue;white matter;algorithm;brain;brain mapping;cognitive defect;pathology;procedures;reproducibility;scintiscanning;skull;Algorithms;Bone and Bones;Brain;Brain Mapping;Cognition Disorders;Glioblastoma;Humans;Image Processing, Computer-Assisted;Magnetic Resonance Imaging;Neuroimaging;Positron-Emission Tomography;Reproducibility of Results;Skull | 公開日期: | 2014 | 卷: | 55 | 期: | 11 | 起(迄)頁: | 1825-1830 | 來源出版物: | Journal of Nuclear Medicine | 摘要: | We present an approach for head MR-based attenuation correction (AC) based on the Statistical Parametric Mapping 8 (SPM8) software, which combines segmentation- and atlas-based features to provide a robust technique to generate attenuation maps (μ maps) from MR data in integrated PET/MR scanners. Methods: Coregistered anatomic MR and CT images of 15 glioblastoma subjects were used to generate the templates. The MR images from these subjects were first segmented into 6 tissue classes (gray matter, white matter, cerebrospinal fluid, bone, soft tissue, and air), which were then nonrigidly coregistered using a diffeomorphic approach. A similar procedure was used to coregister the anatomic MR data for a new subject to the template. Finally, the CT-like images obtained by applying the inverse transformations were converted to linear attenuation coefficients to be used for AC of PET data. The method was validated on 16 new subjects with brain tumors (n 5 12) or mild cognitive impairment (n 5 4) who underwent CT and PET/MR scans. The μ maps and corresponding reconstructed PET images were compared with those obtained using the gold standard CT-based approach and the Dixon-based method available on the Biograph mMR scanner. Relative change (RC) images were generated in each case, and voxel- and regionof- interest-based analyses were performed. Results: The leaveone- out cross-validation analysis of the data from the 15 atlasgeneration subjects showed small errors in brain linear attenuation coefficients (RC, 1.38% ± 4.52%) compared with the gold standard. Similar results (RC, 1.86% ± 4.06%) were obtained from the analysis of the atlas-validation datasets. The voxel- and region-of-interest- based analysis of the corresponding reconstructed PET images revealed quantification errors of 3.87% ± 5.0% and 2.74% ± 2.28%, respectively. The Dixon-based method performed substantially worse (the mean RC values were 13.0% ± 10.25% and 9.38% ± 4.97%, respectively). Areas closer to the skull showed the largest improvement. Conclusion: We have presented an SPM8-based approach for deriving the head μ map from MR data to be used for PET AC in integrated PET/MR scanners. Its implementation is straightforward and requires only the morphologic data acquired with a single MR sequence. The method is accurate and robust, combining the strengths of both segmentation- and atlas-based approaches while minimizing their drawbacks. ? 2014 by the Society of Nuclear Medicine and Molecular Imaging, Inc. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84910637140&doi=10.2967%2fjnumed.113.136341&partnerID=40&md5=b61947db21a1d083b4219e7f2abfa5c2 https://scholars.lib.ntu.edu.tw/handle/123456789/611673 |
DOI: | 10.2967/jnumed.113.136341 |
顯示於: | 醫學工程學研究所 |
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