Management of Respiratory Motion in PET/CT: Data-driven Respiratory Gating PET/CT

2021 ◽  
Vol 77 (11) ◽  
pp. 1356-1365
Author(s):  
Kenta Miwa ◽  
Noriaki Miyaji ◽  
Kosuke Yamashita ◽  
Tensho Yamao ◽  
Yuto Kamitaka
Keyword(s):  
Respiratory Motion ◽  
Respiratory Gating ◽  
Data Driven ◽  
Pet Ct ◽  
Ct Data

scholarly journals Prospective data-driven respiratory gating of [68Ga]Ga-DOTATOC PET/CT

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jonathan Sigfridsson ◽  
Elin Lindström ◽  
Victor Iyer ◽  
Maria Holstensson ◽  
Irina Velikyan ◽  
...  
Keyword(s):  
Respiratory Motion ◽  
Respiratory Gating ◽  
Tumour Volume ◽  
Liver Lesion ◽  
Tracer Uptake ◽  
Data Driven ◽  
Whole Body ◽  
Scan Time ◽  
Pet Ct ◽  
Respiratory Signal

Abstract Aim The aim of this prospective study was to evaluate a data-driven gating software’s performance, in terms of identifying the respiratory signal, comparing [68Ga]Ga-DOTATOC and [18F]FDG examinations. In addition, for the [68Ga]Ga-DOTATOC examinations, tracer uptake quantitation and liver lesion detectability were assessed. Methods Twenty-four patients with confirmed or suspected neuroendocrine tumours underwent whole-body [68Ga]Ga-DOTATOC PET/CT examinations. Prospective DDG was applied on all bed positions and respiratory motion correction was triggered automatically when the detected respiratory signal exceeded a certain threshold (R value ≥ 15), at which point the scan time for that bed position was doubled. These bed positions were reconstructed with quiescent period gating (QPG), retaining 50% of the total coincidences. A respiratory signal evaluation regarding the software’s efficacy in detecting respiratory motion for [68Ga]Ga-DOTATOC was conducted and compared to [18F]FDG data. Measurements of SUVmax, SUVmean, and tumour volume were performed on [68Ga]Ga-DOTATOC PET and compared between gated and non-gated images. Results The threshold of R ≥ 15 was exceeded and gating triggered on mean 2.1 bed positions per examination for [68Ga]Ga-DOTATOC as compared to 1.4 for [18F]FDG. In total, 34 tumours were evaluated in a quantitative analysis. An increase of 25.3% and 28.1%, respectively, for SUVmax (P < 0.0001) and SUVmean (P < 0.0001), and decrease of 21.1% in tumour volume (P < 0.0001) was found when DDG was applied. Conclusions High respiratory signal was exclusively detected in bed positions where respiratory motion was expected, indicating reliable performance of the DDG software on [68Ga]Ga-DOTATOC PET/CT. DDG yielded significantly higher SUVmax and SUVmean values and smaller tumour volumes, as compared to non-gated images.

scholarly journals Data-Driven Respiratory Gating Outperforms Device-Based Gating for Clinical 18F-FDG PET/CT

2020 ◽  
Vol 61 (11) ◽  
pp. 1678-1683 ◽  
Author(s):  
Matthew D. Walker ◽  
Andrew J. Morgan ◽  
Kevin M. Bradley ◽  
Daniel R. McGowan
Keyword(s):  
Fdg Pet ◽  
Respiratory Gating ◽  
Data Driven ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

Retrospective data-driven respiratory gating for PET/CT

2009 ◽  
Vol 54 (7) ◽  
pp. 1935-1950 ◽  
Author(s):  
Paul J Schleyer ◽  
Michael J O'Doherty ◽  
Sally F Barrington ◽  
Paul K Marsden
Keyword(s):  
Respiratory Gating ◽  
Data Driven ◽  
Retrospective Data ◽  
Pet Ct

Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging

2019 ◽  
Vol 27 (6) ◽  
pp. 2216-2230 ◽  
Author(s):  
Martin Lyngby Lassen ◽  
Thomas Beyer ◽  
Alexander Berger ◽  
Dietrich Beitzke ◽  
Sazan Rasul ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Motion Compensation ◽  
Respiratory Motion ◽  
Data Driven ◽  
Cardiac Pet ◽  
Respiratory Motion Compensation ◽  
Pet Ct

Clinical evaluation of data-driven respiratory gating for PET/CT in an oncological cohort of 149 patients: impact on image quality and patient management

2021 ◽  
pp. 20201350
Author(s):  
Michael Messerli ◽  
Virginia Liberini ◽  
Hannes Grünig ◽  
Alexander Maurer ◽  
Stephan Skawran ◽  
...  
Keyword(s):  
Image Quality ◽  
Motion Correction ◽  
Patient Management ◽  
Respiratory Gating ◽  
Data Driven ◽  
Data Set ◽  
Number Of Patients ◽  
Pet Ct ◽  
Fully Automatic ◽  
The Impact

Objectives: To evaluate the impact of fully automatic motion correction by data-driven respiratory gating (DDG) on positron emission tomography (PET) image quality, lesion detection and patient management. Materials and Methods: A total of 149 patients undergoing PET/CT for cancer (re-)staging were retrospectively included. Patients underwent a PET/CT on a digital detector scanner and for every patient a PET data set where DDG was enabled (PETDDG) and as well as where DDG was not enabled (PETnonDDG) was reconstructed. All PET data sets were evaluated by two readers which rated the general image quality, motion effects and organ contours. Further, both readers reviewed all scans on a case-by-case basis and evaluated the impact of PETDDG on additional apparent lesion, change of report, and change of management. Results: In 85% (n = 126) of the patients, at least one bed position was acquired using DDG, resulting in mean scan time increase of 4:37 min per patient in the whole study cohort (n = 149). General image quality was not rated differently for PETnonDDG and PETDDG images (p = 1.000) while motion effects (i.e. indicating general blurring) was rated significantly lower in PETDDG images and organ contours, including liver and spleen, were rated significantly sharper using PETDDG as compared to PETnonDDG (all p < 0.001). In 27% of patients, PETDDG resulted in a change of the report and in a total of 12 cases (8%), PETDDG resulted in a change of further clinical management. Conclusion: Deviceless DDG provided reliable fully automatic motion correction in clinical routine and increased lesion detectability and changed management in a considerable number of patients. Advances in knowledge: DDG enables PET/CT with respiratory gating to be used routinely in clinical practice without external gating equipment needed.

The impact of data-driven respiratory gating in clinical F-18 FDG PET/CT: comparison of free breathing and deep-expiration breath-hold CT protocol

2021 ◽  
Vol 35 (3) ◽  
pp. 328-337
Author(s):  
Seo Young Kang ◽  
Byung Seok Moon ◽  
Hye Ok Kim ◽  
Hai-Jeon Yoon ◽  
Bom Sahn Kim
Keyword(s):  
Fdg Pet ◽  
Respiratory Gating ◽  
Free Breathing ◽  
Data Driven ◽  
Breath Hold ◽  
Pet Ct ◽  
Ct Protocol ◽  
Fdg Pet Ct ◽  
The Impact

scholarly journals Data-driven gated PET/CT: implications for lesion segmentation and quantitation

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
M. Allan Thomas ◽  
Tinsu Pan
Keyword(s):  
Motion Correction ◽  
Data Driven ◽  
Lesion Volume ◽  
Lesion Segmentation ◽  
Body Contour ◽  
Pet Ct ◽  
Pet Quantitation ◽  
Cine Ct ◽  
Ct Data ◽  
The Impact

Abstract Background Data-driven gating (DDG) can improve PET quantitation and alleviate many issues with patient motion. However, misregistration between DDG-PET and CT may occur due to the distinct temporal resolutions of PET and CT and can be mitigated by DDG-CT. Here, the effects of misregistration and respiratory motion on PET quantitation and lesion segmentation were assessed with a new DDG-PET/CT method. Methods A low-dose cine-CT was acquired in misregistered regions to enable both average CT (ACT) and DDG-CT. The following were compared: (1) baseline PET/CT, (2) PET/ACT (attenuation correction, AC = ACT), (3) DDG-PET (AC = helical CT), and (4) DDG-PET/CT (AC = DDG-CT). For DDG-PET, end-expiration (EE) data were derived from 50% of the total PET data at 30% from end-inspiration. For DDG-CT, EE phase CT data were extracted from cine-CT data by lung Hounsfield unit (HU) value and body contour. A total of 91 lesions from 16 consecutive patients were assessed for changes in standard uptake value (SUV), lesion glycolysis (LG), lesion volume, centroid-to-centroid distance (CCD), and DICE coefficients. Results Relative to baseline PET/CT, median changes in SUVmax ± σ for all 91 lesions were 20 ± 43%, 26 ± 23%, and 66 ± 66%, respectively, for PET/ACT, DDG-PET, and DDG-PET/CT. Median changes in lesion volume were 0 ± 58%, − 36 ± 26%, and − 26 ± 40%. LG for individual lesions increased for PET/ACT and decreased for DDG-PET, but was not different for DDG-PET/CT. Changes in mean HU from baseline PET/CT were dramatic for most lesions in both PET/ACT and DDG-PET/CT, especially for lesions with mean HU < 0 at baseline. CCD and DICE were both affected more by motion correction with DDG-PET than improved registration with ACT or DDG-CT. Conclusion As misregistration becomes more prominent, the impact of motion correction with DDG-PET is diminished. The potential benefits of DDG-PET toward accurate lesion segmentation and quantitation could only be fully realized when combined with DDG-CT. These results impress upon the necessity of ensuring both misregistration and motion correction are accounted for together to optimize the clinical utility of PET/CT.

scholarly journals Impact of PET data driven respiratory motion correction and BSREM reconstruction of 68Ga-DOTATATE PET/CT for differentiating neuroendocrine tumors (NET) and intrapancreatic accessory spleens (IPAS)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Virginia Liberini ◽  
Fotis Kotasidis ◽  
Valerie Treyer ◽  
Michael Messerli ◽  
Erika Orita ◽  
...  
Keyword(s):  
Neuroendocrine Tumors ◽  
Motion Correction ◽  
Accessory Spleen ◽  
Pancreatic Neuroendocrine Tumor ◽  
Reconstruction Algorithm ◽  
Data Driven ◽  
Operating Characteristics ◽  
Quantitative Pet ◽  
Pet Ct ◽  
Accessory Spleens

AbstractTo evaluate whether quantitative PET parameters of motion-corrected 68Ga-DOTATATE PET/CT can differentiate between intrapancreatic accessory spleens (IPAS) and pancreatic neuroendocrine tumor (pNET). A total of 498 consecutive patients with neuroendocrine tumors (NET) who underwent 68Ga-DOTATATE PET/CT between March 2017 and July 2019 were retrospectively analyzed. Subjects with accessory spleens (n = 43, thereof 7 IPAS) and pNET (n = 9) were included, resulting in a total of 45 scans. PET images were reconstructed using ordered-subsets expectation maximization (OSEM) and a fully convergent iterative image reconstruction algorithm with β-values of 1000 (BSREM1000). A data-driven gating (DDG) technique (MOTIONFREE, GE Healthcare) was applied to extract respiratory triggers and use them for PET motion correction within both reconstructions. PET parameters among different samples were compared using non-parametric tests. Receiver operating characteristics (ROC) analyzed the ability of PET parameters to differentiate IPAS and pNETs. SUVmax was able to distinguish pNET from accessory spleens and IPAs in BSREM1000 reconstructions (p < 0.05). This result was more reliable using DDG-based motion correction (p < 0.003) and was achieved in both OSEM and BSREM1000 reconstructions. For differentiating accessory spleens and pNETs with specificity 100%, the ROC analysis yielded an AUC of 0.742 (sensitivity 56%)/0.765 (sensitivity 56%)/0.846 (sensitivity 62%)/0.840 (sensitivity 63%) for SUVmax 36.7/41.9/36.9/41.7 in OSEM/BSREM1000/OSEM + DDG/BSREM1000 + DDG, respectively. BSREM1000 + DDG can accurately differentiate pNET from accessory spleen. Both BSREM1000 and DDG lead to a significant SUV increase compared to OSEM and non-motion-corrected data.

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