Literature DB >> 11929020

Effect of respiratory gating on reducing lung motion artifacts in PET imaging of lung cancer.

S A Nehmeh1, Y E Erdi, C C Ling, K E Rosenzweig, O D Squire, L E Braban, E Ford, K Sidhu, G S Mageras, S M Larson, J L Humm.   

Abstract

Positron emission tomography (PET) has shown an increase in both sensitivity and specificity over computed tomography (CT) in lung cancer. However, motion artifacts in the 18F fluorodioxydoglucose (FDG) PET images caused by respiration persists to be an important factor in degrading PET image quality and quantification. Motion artifacts lead to two major effects: First, it affects the accuracy of quantitation, producing a reduction of the measured standard uptake value (SUV). Second, the apparent lesion volume is overestimated. Both impact upon the usage of PET images for radiation treatment planning. The first affects the visibility, or contrast, of the lesion. The second results in an increase in the planning target volume, and consequently a greater radiation dose to the normal tissues. One way to compensate for this effect is by applying a multiple-frame capture technique. The PET data are then acquired in synchronization with the respiratory motion. Reduction in smearing due to gating was investigated in both phantoms and patient studies. Phantom studies showed a dependence of the reduction in smearing on the lesion size, the motion amplitude, and the number of bins used for data acquisition. These studies also showed an improvement in the target-to-background ratio, and a more accurate measurement of the SUV. When applied to one patient, respiratory gating showed a 28% reduction in the total lesion volume, and a 56.5% increase in the SUV. This study was conducted as a proof of principle that a gating technique can effectively reduce motion artifacts in PET image acquisition.

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Year:  2002        PMID: 11929020     DOI: 10.1118/1.1448824

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  70 in total

1.  Estimation of Rigid-Body and Respiratory Motion of the Heart From Marker-Tracking Data for SPECT Motion Correction.

Authors:  Joyeeta Mitra Mukherjee; Joseph E McNamara; Karen L Johnson; Joyoni Dey; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2009-02       Impact factor: 1.679

Review 2.  From PET detectors to PET scanners.

Authors:  John L Humm; Anatoly Rosenfeld; Alberto Del Guerra
Journal:  Eur J Nucl Med Mol Imaging       Date:  2003-10-02       Impact factor: 9.236

Review 3.  Impact of technology on the utilisation of positron emission tomography in lymphoma: current and future perspectives.

Authors:  D Visvikis; P J Ell
Journal:  Eur J Nucl Med Mol Imaging       Date:  2003-05-13       Impact factor: 9.236

4.  Clinical evaluation of a breathing protocol for PET/CT.

Authors:  Ramon de Juan; Burkhardt Seifert; Thomas Berthold; Gustav K von Schulthess; Gerhard W Goerres
Journal:  Eur Radiol       Date:  2003-12-16       Impact factor: 5.315

5.  Clinical utility of co-registered respiratory-gated( 99m)Tc-Technegas/MAA SPECT-CT images in the assessment of regional lung functional impairment in patients with lung cancer.

Authors:  Kazuyoshi Suga; Yasuhiko Kawakami; Mohammed Zaki; Tomio Yamashita; Kensaku Shimizu; Naofumi Matsunaga
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-06-10       Impact factor: 9.236

6.  The impact of audio-visual biofeedback on 4D PET images: results of a phantom study.

Authors:  Jaewon Yang; Tokihiro Yamamoto; Byungchul Cho; Youngho Seo; Paul J Keall
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

7.  Improvements in PET Image Quality in Time of Flight (TOF) Simultaneous PET/MRI.

Authors:  Ryogo Minamimoto; Craig Levin; Mehran Jamali; Dawn Holley; Amir Barkhodari; Greg Zaharchuk; Andrei Iagaru
Journal:  Mol Imaging Biol       Date:  2016-10       Impact factor: 3.488

8.  Respiratory-gated PET/CT versus delayed images for the quantitative evaluation of lower pulmonary and hepatic lesions.

Authors:  Abdel K Tahari; Martin A Lodge; Richard L Wahl
Journal:  J Med Imaging Radiat Oncol       Date:  2014-01-20       Impact factor: 1.735

9.  Motion correction of respiratory-gated PET images using deep learning based image registration framework.

Authors:  Tiantian Li; Mengxi Zhang; Wenyuan Qi; Evren Asma; Jinyi Qi
Journal:  Phys Med Biol       Date:  2020-07-30       Impact factor: 3.609

10.  A contrast-oriented algorithm for FDG-PET-based delineation of tumour volumes for the radiotherapy of lung cancer: derivation from phantom measurements and validation in patient data.

Authors:  Andrea Schaefer; Stephanie Kremp; Dirk Hellwig; Christian Rübe; Carl-Martin Kirsch; Ursula Nestle
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-07-26       Impact factor: 9.236

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