Optimal number of respiratory gates in positron emission tomography: A cardiac patient study

Dawood, Mohammad; Büther, Florian; Stegger, Lars; Jiang, Xiaoyi; Schober, Otmar; Schäfers, Michael; Schäfers, Klaus P.

doi:10.1118/1.3112422

Cited by 73 publications

(88 citation statements)

References 40 publications

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“…This finding contradicts the previous results described by Dawood et al,22 who recommended a six-phase sampling. This sampling must be chosen in terms of its goal (i.e.…”

Section: Discussioncontrasting

confidence: 57%

“…8 The PET acquisition time is typically multiplied by the number of phases to maintain a statistically reliable number of counts in each phase. Dawood et al 22 demonstrated that sixphase decomposition was optimal in a single case study. Using a phantom, Bettinardi et al 23 determined that the fewer the number of phases, the lower the SUV max quantification.…”

Section: Introductionmentioning

confidence: 99%

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Clinical respiratory motion correction software (reconstruct, register and averaged—RRA), for 18F-FDG-PET-CT: phantom validation, practical implications and patient evaluation

Bouyeure-Petit¹,

Chastan²,

Edet-Sanson³

et al. 2017

The British Journal of Radiology

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Objective: On fluorine-18 fludeoxyglucose ( 18 F-FDG) positron emission tomography (PET) CT of pulmonary or hepatic lesions, standard uptake value (SUV) is often underestimated due to patient breathing. The aim of this study is to validate, on phantom and patient data, a motion correction algorithm [reconstruct, register and averaged (RRA)] implemented on a PET-CT system. Methods: Three phantoms containing five spheres filled with 18 F-FDG and suspended in a water or Styrofoam® 18 F-FDG-filled tank to create different contrasts and attenuation environment were acquired on a Discovery GE710. The spheres were animated with a 2-cm longitudinal respiratory-based movement. Respiratory-gated (RRA) and ungated PET images were compared with static reference images (without movement). The optimal acquisition time, number of phases and the best phase within the respiratory cycle were investigated. The impact of irregular motion was also investigated. Quantification impact was computed on each sphere. Quantification improvement on 28 lung lesions was also investigated. Results: Phantoms: 4 min was required to obtain a stable quantification with the RRA method. The reference phase and the number of phases used for RRA did not affect the quantification which was similar on static acquisitions but different on ungated images. The results showed that the maximum standard uptake value (SUV max ) restoration is majored for the smallest spheres (#2.1 ml). Patients: SUV max on RRA and ungated acquisitions were statistically different to the SUV max on whole-body images (p 5 0.05) but not different from each other (mean SUV max : 7.0 6 7.8 vs 6.9 6 7.8, p 5 0.23 on RRA and ungated images, respectively). We observed a statistically significant correlation between SUV restoration and lesion displacement, with a real SUV quantitation improvement for lesion with movement .1.2 mm. Conclusion: According to the results obtained using phantoms, RRA method is promising, showing a real impact on the lesion quantification on phantom data. With regard to the patient study, our results showed a trend towards an increase in the SUVs and a decrease in the volume between the ungated and RRA data. We also noticed a statistically significant correlation between the quantitative restoration obtained with RRA compared with ungated data and lesion displacement, indicating that the RRA approach should be reserved to patients with small lesions or nodes moving with a displacement larger than 1.2 cm. Advances in knowledge: This article investigates the performances of motion correction software recently introduced in PET. The conclusion revealed that such respiratory motion correction approach shows a real impact on the lesion quantification but must be reserved to the patient for whom lesion displacement was confirmed and high enough to clearly impact lesion evaluation.

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“…This finding contradicts the previous results described by Dawood et al,22 who recommended a six-phase sampling. This sampling must be chosen in terms of its goal (i.e.…”

Section: Discussioncontrasting

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Clinical respiratory motion correction software (reconstruct, register and averaged—RRA), for 18F-FDG-PET-CT: phantom validation, practical implications and patient evaluation

Bouyeure-Petit¹,

Chastan²,

Edet-Sanson³

et al. 2017

The British Journal of Radiology

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“…Despite this knowledge, phase-based methods of gating remain the most widely investigated in cancer research [15], as in the current study. In addition, six respiratory gates have been suggested as the optimal number in phase-based respiratory gating [38], while we used only four phase gates in order to limit image noise. Third, histopathological measurement of the actual volume of lung lesions was not performed as the reference standard for assessment of lesion volume, although this is also prone to errors related to processing of ex vivo specimens and inclusion of nonlesional tissues as part of volumetric measurement of the lesion.…”

Section: A Salavati Et Al: Partial Volume Effect Correction Vs 4d mentioning

confidence: 99%

Application of Partial Volume Effect Correction and 4D PET in the Quantification of FDG Avid Lung Lesions

et al. 2014

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Purpose: The aim of this study is to assess a software-based method with semiautomated correction for partial volume effect (PVE) to quantify the metabolic activity of pulmonary malignancies in patients who underwent non-gated and respiratory-gated 2-deoxy-2-[ 18 F]fluoro-D-glucose (FDG)-positron emission tomography (PET)/x-ray computed tomography(CT). Procedures: The study included 106 lesions of 55 lung cancer patients who underwent respiratory-gated FDG-PET/CT for radiation therapy treatment planning. Volumetric PET/CT parameters were determined by using 4D PET/CT and non-gated PET/CT images. We used a semiautomated program employing an adaptive contrast-oriented thresholding algorithm for lesion delineation as well as a lesion-based partial volume effect correction algorithm. We compared respiratory-gated parameters with non-gated parameters by using pairwise comparison and interclass correlation coefficient assessment. In a multivariable regression analysis, we also examined factors, which can affect quantification accuracy, including the size of lesion and the location of tumor. Results: This study showed that quantification of volumetric parameters of 4D PET/CT images using an adaptive contrast-oriented thresholding algorithm and 3D lesion-based partial volume correction is feasible. We observed slight increase in FDG uptake by using PET/CT volumetric parameters in comparison of highest respiratory-gated values with non-gated values. After correction for partial volume effect, the mean standardized uptake value (SUVmean) and total lesion glycolysis (TLG) increased substantially (p value G0.001). However, we did not observe a clinically significant difference between partial volume corrected parameters of respiratory-gated and non-gated PET/CT scans. Regression analysis showed that tumor volume was the main predictor of quantification inaccuracy caused by partial volume effect.Electronic supplementary material The online version of this article (doi:10.1007/s11307-014-0776-6) contains supplementary material, which is available to authorized users.Correspondence to: Abass Alavi; e-mail: abass.alavi@uphs.upenn.edu Conclusions: Based on this study, assessment of volumetric PET/CT parameters and partial volume effect correction for accurate quantification of lung malignant lesions by using respiratory non-gated PET images are feasible and it is comparable to gated measurements. Partial volume correction increased both the respiratory-gated and non-gated values significantly and appears to be the dominant source of quantification error of lung lesions.

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“…2a) shows the detected maximal edge displacement depending on the number of bins chosen. An asymptotic behavior, caused by successive reduction of intra-bin motion with a higher number of bins [19], was observed. The maximal displacement in the three patients was 10-13 mm.…”

Section: Self-gatingmentioning

confidence: 90%

Self-gated Radial MRI for Respiratory Motion Compensation on Hybrid PET/MR Systems

Grimm¹,

Fürst

Dregely

et al. 2013

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013

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Abstract. Accurate localization and uptake quantification of lesions in the chest and abdomen using PET imaging is challenging due to the respiratory motion during the exam. The advent of hybrid PET/MR systems offers new ways to compensate for respiratory motion without exposing the patient to additional radiation. The use of self-gated reconstructions of a 3D radial stack-of-stars GRE acquisition is proposed to derive a high-resolution MRI motion model. The self-gating signal is used to perform respiratory binning of the simultaneously acquired PET raw data. Matching µ-maps are generated for every bin, and post-reconstruction registration is performed in order to obtain a motion-compensated PET volume from the individual gates. The proposed method is demonstrated in-vivo for three clinical patients. Motioncorrected reconstructions are compared against ungated and gated PET reconstructions. In all cases, motion-induced blurring of lesions in the liver and lung was substantially reduced, without compromising SNR as it is the case for gated reconstructions.

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Optimal number of respiratory gates in positron emission tomography: A cardiac patient study

Cited by 73 publications

References 40 publications

Clinical respiratory motion correction software (reconstruct, register and averaged—RRA), for 18F-FDG-PET-CT: phantom validation, practical implications and patient evaluation

Clinical respiratory motion correction software (reconstruct, register and averaged—RRA), for 18F-FDG-PET-CT: phantom validation, practical implications and patient evaluation

Application of Partial Volume Effect Correction and 4D PET in the Quantification of FDG Avid Lung Lesions

Self-gated Radial MRI for Respiratory Motion Compensation on Hybrid PET/MR Systems

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