TY - JOUR

T1 - Anatomical validation of automatic respiratory motion correction for coronary 18F-sodium fluoride positron emission tomography by expert measurements from four-dimensional computed tomography

AU - Lassen, Martin Lyngby

AU - Tzolos, Evangelos

AU - Pan, Tinsu

AU - Kwiecinski, Jacek

AU - Cadet, Sebastien

AU - Dey, Damini

AU - Berman, Daniel

AU - Slomka, Piotr

PY - 2022

Y1 - 2022

N2 - Background Respiratory motion correction is of importance in studies of coronary plaques employing F-18-NaF; however, the validation of motion correction techniques mainly relies on indirect measures such as test-retest repeatability assessments. In this study, we aim to compare and, thus, validate the respiratory motion vector fields obtained from the positron emission tomography (PET) images directly to the respiratory motion observed during four-dimensional cine-computed tomography (CT) by an expert observer. Purpose To investigate the accuracy of the motion correction employed in a software (FusionQuant) used for evaluation of F-18-NaF PET studies by comparing the respiratory motion of the coronary plaques observed in PET to the respiratory motion observed in 4D cine-CT images. Methods This study included 23 patients who undertook thoracic PET scans for the assessment of coronary plaques using F-18-sodium fluoride (F-18-NaF). All patients underwent a 5-s cine-CT (4D-CT), a coronary CT angiography (CTA), and F-18-NaF PET. The 4D-CT and PET scan were reconstructed into 10 phases. Respiratory motion was estimated for the non-contrast visible coronary plaques using diffeomorphic registrations (PET) and compared to respiratory motion observed on 4D-CT. We report the PET motion vector fields obtained in the three principal axes in addition to the 3D motion. Statistical differences were examined using paired t-tests. Signal-to-noise ratios (SNR) are reported for the single-phase images (end-expiratory phase) and for the motion-corrected image-series (employing the motion vector fields extracted during the diffeomorphic registrations). Results In total, 19 coronary plaques were identified in 16 patients. No statistical differences were observed for the maximum respiratory motion observed in x, y, and the 3D motion fields (magnitude and direction) between the CT and PET (X direction: 4D CT = 2.5 +/- 1.5 mm, PET = 2.4 +/- 3.2 mm; Y direction: 4D CT = 2.3 +/- 1.9 mm, PET = 0.7 +/- 2.9 mm, 3D motion: 4D CT = 6.6 +/- 3.1 mm, PET = 5.7 +/- 2.6 mm, all p >= 0.05). Significant differences in respiratory motion were observed in the systems' Z direction: 4D CT = 4.9 +/- 3.4 mm, PET = 2.3 +/- 3.2 mm, p = 0.04. Significantly improved SNR is reported for the motion corrected images compared to the end-expiratory phase images (end-expiratory phase = 6.8 +/- 4.8, motion corrected = 12.2 +/- 4.5, p = 0.001). Conclusion Similar respiratory motion was observed in two directions and 3D for coronary plaques on 4D CT as detected by automatic respiratory motion correction of coronary PET using FusionQuant. The respiratory motion correction technique significantly improved the SNR in the images.

AB - Background Respiratory motion correction is of importance in studies of coronary plaques employing F-18-NaF; however, the validation of motion correction techniques mainly relies on indirect measures such as test-retest repeatability assessments. In this study, we aim to compare and, thus, validate the respiratory motion vector fields obtained from the positron emission tomography (PET) images directly to the respiratory motion observed during four-dimensional cine-computed tomography (CT) by an expert observer. Purpose To investigate the accuracy of the motion correction employed in a software (FusionQuant) used for evaluation of F-18-NaF PET studies by comparing the respiratory motion of the coronary plaques observed in PET to the respiratory motion observed in 4D cine-CT images. Methods This study included 23 patients who undertook thoracic PET scans for the assessment of coronary plaques using F-18-sodium fluoride (F-18-NaF). All patients underwent a 5-s cine-CT (4D-CT), a coronary CT angiography (CTA), and F-18-NaF PET. The 4D-CT and PET scan were reconstructed into 10 phases. Respiratory motion was estimated for the non-contrast visible coronary plaques using diffeomorphic registrations (PET) and compared to respiratory motion observed on 4D-CT. We report the PET motion vector fields obtained in the three principal axes in addition to the 3D motion. Statistical differences were examined using paired t-tests. Signal-to-noise ratios (SNR) are reported for the single-phase images (end-expiratory phase) and for the motion-corrected image-series (employing the motion vector fields extracted during the diffeomorphic registrations). Results In total, 19 coronary plaques were identified in 16 patients. No statistical differences were observed for the maximum respiratory motion observed in x, y, and the 3D motion fields (magnitude and direction) between the CT and PET (X direction: 4D CT = 2.5 +/- 1.5 mm, PET = 2.4 +/- 3.2 mm; Y direction: 4D CT = 2.3 +/- 1.9 mm, PET = 0.7 +/- 2.9 mm, 3D motion: 4D CT = 6.6 +/- 3.1 mm, PET = 5.7 +/- 2.6 mm, all p >= 0.05). Significant differences in respiratory motion were observed in the systems' Z direction: 4D CT = 4.9 +/- 3.4 mm, PET = 2.3 +/- 3.2 mm, p = 0.04. Significantly improved SNR is reported for the motion corrected images compared to the end-expiratory phase images (end-expiratory phase = 6.8 +/- 4.8, motion corrected = 12.2 +/- 4.5, p = 0.001). Conclusion Similar respiratory motion was observed in two directions and 3D for coronary plaques on 4D CT as detected by automatic respiratory motion correction of coronary PET using FusionQuant. The respiratory motion correction technique significantly improved the SNR in the images.

KW - F-18-sodium fluoride

KW - motion correction

KW - PET

KW - CT

KW - REGISTRATION

KW - ANGIOGRAPHY

U2 - 10.1002/mp.15834

DO - 10.1002/mp.15834

M3 - Journal article

C2 - 35766454

VL - 49

SP - 7085

EP - 7094

JO - Medical Physics

JF - Medical Physics

SN - 0094-2405

IS - 11

ER -