https://scholars.lib.ntu.edu.tw/handle/123456789/611670
標題: | On the accuracy and reproducibility of a novel probabilistic atlas-based generation for calculation of head attenuation maps on integrated PET/MR scanners | 作者: | Chen K.T. Izquierdo-Garcia D. Poynton C.B. Chonde D.B. Catana C. TZE-HSIANG CHEN |
關鍵字: | accuracy;Article;brain tumor;calculation;computer assisted tomography;PET-MRI scanner;probabilistic atlas based continuous valued mu map;reproducibility;algorithm;anatomy and histology;devices;diagnostic imaging;evaluation study;head;human;measurement accuracy;multimodal imaging;nuclear magnetic resonance imaging;photon;positron emission tomography;procedures;standards;Algorithms;Data Accuracy;Head;Humans;Magnetic Resonance Imaging;Multimodal Imaging;Photons;Positron-Emission Tomography | 公開日期: | 2017 | 卷: | 44 | 期: | 3 | 起(迄)頁: | 398-407 | 來源出版物: | European Journal of Nuclear Medicine and Molecular Imaging | 摘要: | Purpose: To propose an MR-based method for generating continuous-valued head attenuation maps and to assess its accuracy and reproducibility. Demonstrating that novel MR-based photon attenuation correction methods are both accurate and reproducible is essential prior to using them routinely in research and clinical studies on integrated PET/MR scanners. Methods: Continuous-valued linear attenuation coefficient maps (“μ-maps”) were generated by combining atlases that provided the prior probability of voxel positions belonging to a certain tissue class (air, soft tissue, or bone) and an MR intensity-based likelihood classifier to produce posterior probability maps of tissue classes. These probabilities were used as weights to generate the μ-maps. The accuracy of this probabilistic atlas-based continuous-valued μ-map (“PAC-map”) generation method was assessed by calculating the voxel-wise absolute relative change (RC) between the MR-based and scaled CT-based attenuation-corrected PET images. To assess reproducibility, we performed pair-wise comparisons of the RC values obtained from the PET images reconstructed using the μ-maps generated from the data acquired at three time points. Results: The proposed method produced continuous-valued μ-maps that qualitatively reflected the variable anatomy in patients with brain tumor and agreed well with the scaled CT-based μ-maps. The absolute RC comparing the resulting PET volumes was 1.76 ± 2.33?%, quantitatively demonstrating that the method is accurate. Additionally, we also showed that the method is highly reproducible, the mean RC value for the PET images reconstructed using the μ-maps obtained at the three visits being 0.65 ± 0.95?%. Conclusion: Accurate and highly reproducible continuous-valued head μ-maps can be generated from MR data using a probabilistic atlas-based approach. ? 2016, Springer-Verlag Berlin Heidelberg. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984604198&doi=10.1007%2fs00259-016-3489-z&partnerID=40&md5=85521c2d6e05fdcbab053ddf83e7307d https://scholars.lib.ntu.edu.tw/handle/123456789/611670 |
DOI: | 10.1007/s00259-016-3489-z |
顯示於: | 醫學工程學研究所 |
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