» Articles » PMID: 12582813

Dual-modality PET/CT Imaging: the Effect of Respiratory Motion on Combined Image Quality in Clinical Oncology

Overview
Date 2003 Feb 13
PMID 12582813
Citations 67
Authors
Affiliations
Soon will be listed here.
Abstract

To reduce potential mis-registration from differences in the breathing pattern between two complementary PET and CT data sets, patients are generally allowed to breathe quietly during a dual-modality scan using a combined PET/CT tomograph. Frequently, however, local mis-registration between the CT and the PET is observed. We have evaluated the appearance, magnitude, and frequency of respiration-induced artefacts in CT images of dual-modality PET/CT studies of 62 patients. Combined PET/CT scans during normal respiration were acquired in 43 subjects using single- or dual-slice CT. Nineteen patients were scanned with a special breathing protocol (limited breath-hold technique) on a single-slice PET/CT tomograph. All subjects were injected with approximately 370 MBq of FDG, and PET/CT scanning commenced 1 h post injection. The CT images were reconstructed and, after appropriate scaling, used for on-line attenuation correction of the PET emission data. We found that respiration artefacts can occur in the majority of cases if no respiration protocol is used. When applying the limited breath-hold technique, the frequency of severe artefacts in the area of the diaphragm was reduced by half, and the spatial extent of respiration-induced artefacts was reduced by at least 40% compared with the acquisition protocols without any breathing instructions. In conclusion, special breathing protocols are effective and should be used for CT scans as part of combined imaging protocols using a dual-modality PET/CT tomograph. The results of this study can also be applied to multi-slice CT to potentially reduce further breathing artefacts in PET/CT imaging and to improve overall image quality.

Citing Articles

Time-of-flight PET/CT suppresses CT based attenuation correction and scatter coincidence correction errors due to misalignment of the gastrointestinal tract.

Watanabe Y, Hosokawa S, Takahashi Y Asia Ocean J Nucl Med Biol. 2024; 12(2):131-141.

PMID: 39050243 PMC: 11263777. DOI: 10.22038/AOJNMB.2024.74406.1520.


The use of PET/MRI in radiotherapy.

Yan Q, Yan X, Yang X, Li S, Song J Insights Imaging. 2024; 15(1):63.

PMID: 38411742 PMC: 10899128. DOI: 10.1186/s13244-024-01627-6.


Is Prone Position [F]FDG PET/CT Useful in Reducing Respiratory Motion Artifacts in Evaluating Hepatic Lesions?.

Lee C, Son H, Woo J, Lee S Diagnostics (Basel). 2023; 13(15).

PMID: 37568906 PMC: 10417611. DOI: 10.3390/diagnostics13152539.


Evaluation of a respiratory motion-corrected image reconstruction algorithm in 2-[F]FDG and [Ga]Ga-DOTA-NOC PET/CT: impacts on image quality and tumor quantification.

Meng Q, Yang R, Wu R, Xu L, Liu H, Yang G Quant Imaging Med Surg. 2023; 13(1):370-383.

PMID: 36620155 PMC: 9816722. DOI: 10.21037/qims-22-557.


Ultrasound-based sensors for respiratory motion assessment in multimodality PET imaging.

Madore B, Belsley G, Cheng C, Preiswerk F, Kijewski M, Wu P Phys Med Biol. 2021; 67(2).

PMID: 34891142 PMC: 9482332. DOI: 10.1088/1361-6560/ac4213.


References
1.
Vansteenkiste J, Stroobants S, Dupont P, De Leyn P, De Wever W, Verbeken E . FDG-PET scan in potentially operable non-small cell lung cancer: do anatometabolic PET-CT fusion images improve the localisation of regional lymph node metastases? The Leuven Lung Cancer Group. Eur J Nucl Med. 1998; 25(11):1495-501. DOI: 10.1007/s002590050327. View

2.
von Schulthess G . Cost considerations regarding an integrated CT-PET system. Eur Radiol. 2000; 10 Suppl 3:S377-80. DOI: 10.1007/pl00014098. View

3.
Osman M, Cohade C, Nakamoto Y, Marshall L, Leal J, Wahl R . Clinically significant inaccurate localization of lesions with PET/CT: frequency in 300 patients. J Nucl Med. 2003; 44(2):240-3. View

4.
Cohade C, Osman M, Marshall L, Wahl R . PET-CT: accuracy of PET and CT spatial registration of lung lesions. Eur J Nucl Med Mol Imaging. 2003; 30(5):721-6. DOI: 10.1007/s00259-002-1055-3. View

5.
Woods R, Grafton S, Holmes C, Cherry S, Mazziotta J . Automated image registration: I. General methods and intrasubject, intramodality validation. J Comput Assist Tomogr. 1998; 22(1):139-52. DOI: 10.1097/00004728-199801000-00027. View