» Articles » PMID: 27339875

Clinical Evaluation of Zero-Echo-Time Attenuation Correction for Brain 18F-FDG PET/MRI: Comparison with Atlas Attenuation Correction

Overview
Journal J Nucl Med
Specialty Nuclear Medicine
Date 2016 Jun 25
PMID 27339875
Citations 52
Authors
Affiliations
Soon will be listed here.
Abstract

Methods: We recruited 10 patients with malignant diseases not located on the brain. In all patients, a clinically indicated whole-body F-FDG PET/CT scan was acquired. In addition, a head PET/MR scan was obtained voluntarily. For each patient, 2 AC maps were generated from the MR images. One was atlas-AC, derived from T1-weighted liver acquisition with volume acceleration flex images (clinical standard). The other was ZTE-AC, derived from proton-density-weighted ZTE images by applying tissue segmentation and assigning continuous attenuation values to the bone. The AC map generated by PET/CT was used as a silver standard. On the basis of each AC map, PET images were reconstructed from identical raw data on the PET/MR scanner. All PET images were normalized to the SPM5 PET template. After that, these images were qualified visually and quantified in 67 volumes of interest (VOIs; automated anatomic labeling, atlas). Relative differences and absolute relative differences between PET images based on each AC were calculated. F-FDG uptake in all 670 VOIs and generalized merged VOIs were compared using a paired t test.

Results: Qualitative analysis shows that ZTE-AC was robust to patient variability. Nevertheless, misclassification of air and bone in mastoid and nasal areas led to the overestimation of PET in the temporal lobe and cerebellum (%diff of ZTE-AC, 2.46% ± 1.19% and 3.31% ± 1.70%, respectively). The |%diff| of all 670 VOIs on ZTE was improved by approximately 25% compared with atlas-AC (ZTE-AC vs. atlas-AC, 1.77% ± 1.41% vs. 2.44% ± 1.63%, P < 0.01). In 2 of 7 generalized VOIs, |%diff| on ZTE-AC was significantly smaller than atlas-AC (ZTE-AC vs. atlas-AC: insula and cingulate, 1.06% ± 0.67% vs. 2.22% ± 1.10%, P < 0.01; central structure, 1.03% ± 0.99% vs. 2.54% ± 1.20%, P < 0.05).

Conclusion: The ZTE-AC could provide more accurate AC than clinical atlas-AC by improving the estimation of head-skull attenuation. The misclassification in mastoid and nasal areas must be addressed to prevent the overestimation of PET in regions near the skull base.

Citing Articles

TSPO-PET in pre-surgical evaluations: Correlation of neuroinflammation and SEEG epileptogenicity mapping in drug-resistant focal epilepsy.

Kilmer J, Rodrigo S, Petrescu A, Aghakhani N, Herbrecht A, Leroy C Epilepsia. 2024; 66(2):430-443.

PMID: 39679816 PMC: 11827756. DOI: 10.1111/epi.18182.


Attenuation Coefficient Estimation for PET/MRI With Bayesian Deep Learning Pseudo-CT and Maximum-Likelihood Estimation of Activity and Attenuation.

Leynes A, Ahn S, Wangerin K, Kaushik S, Wiesinger F, Hope T IEEE Trans Radiat Plasma Med Sci. 2024; 6(6):678-689.

PMID: 38223528 PMC: 10785227. DOI: 10.1109/trpms.2021.3118325.


Machine Learning in PET: from Photon Detection to Quantitative Image Reconstruction.

Gong K, Eric Berg , Cherry S, Qi J Proc IEEE Inst Electr Electron Eng. 2023; 108(1):51-68.

PMID: 38045770 PMC: 10691821. DOI: 10.1109/JPROC.2019.2936809.


[F]DPA-714 PET Imaging in the Presurgical Evaluation of Patients With Drug-Resistant Focal Epilepsy.

Cheval M, Rodrigo S, Taussig D, Caille F, Petrescu A, Bottlaender M Neurology. 2023; 101(19):e1893-e1904.

PMID: 37748889 PMC: 10663012. DOI: 10.1212/WNL.0000000000207811.


A review of PET attenuation correction methods for PET-MR.

Krokos G, MacKewn J, Dunn J, Marsden P EJNMMI Phys. 2023; 10(1):52.

PMID: 37695384 PMC: 10495310. DOI: 10.1186/s40658-023-00569-0.