Literature DB >> 14530480

Reduction of respiratory motion artifacts in PET imaging of lung cancer by respiratory correlated dynamic PET: methodology and comparison with respiratory gated PET.

Sadek A Nehmeh1, Yusuf E Erdi, Kenneth E Rosenzweig, Heiko Schoder, Steve M Larson, Olivia D Squire, John L Humm.   

Abstract

UNLABELLED: This study proposes a new method to reduce respiratory motion artifacts in PET images of lung cancer. The method is referred to as respiratory-correlated dynamic PET (RCDPET). RCDPET enables the acquisition of 4-dimensional PET data without the need for a respiratory tracking device. In this article, we compare this method with respiratory-gated PET (RGPET). Both methods provide the ability to correct for motion artifacts and more accurately quantitate radiotracer uptake within lung lesions. Both methods were evaluated in phantom studies and 1 patient.
METHODS: With RCDPET, data are acquired in consecutive 1-s time frames. A point source attached to a rigid foam block is set on the patient's abdomen and is extended into the camera field of view at the level of the lesion by means of a low-density rod. The position of this source is used to track respiratory motion through the consecutive dynamic frames. Image frames corresponding to a user-selected lesion position within the breathing cycle, in correlation with the point source position, are then identified after scanning. The sinograms of the selected image frames are summed and then reconstructed using iterative reconstruction with segmented attenuation correction.
RESULTS: The results from phantom studies with both RGPET and RCDPET were within 10% agreement, for both activity quantitation and image noise levels. In a clinical application, the quantitation of the SUV(max) and the lesion's size showed a 6% and 2% difference, respectively, between RCDPET and RGPET measurements.
CONCLUSION: RCDPET can be considered as a comparable, or alternative, method to RGPET in reducing the smearing effects due to respiration and improving quantitation of PET in the thorax. One advantage of RCDPET over RGPET is the ability to retrospectively reconstruct the PET data at any phase or amplitude in the breathing cycle.

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Year:  2003        PMID: 14530480

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  25 in total

Review 1.  Imaging and image-guided radiation therapy in liver cancer.

Authors:  Kristy K Brock
Journal:  Semin Radiat Oncol       Date:  2011-10       Impact factor: 5.934

2.  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

3.  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

4.  Assessment of patient selection criteria for quantitative imaging with respiratory-gated positron emission tomography.

Authors:  Stephen R Bowen; Larry A Pierce; Adam M Alessio; Chi Liu; Scott D Wollenweber; Charles W Stearns; Paul E Kinahan
Journal:  J Med Imaging (Bellingham)       Date:  2014-09-24

5.  Dual gated PET/CT imaging of small targets of the heart: method description and testing with a dynamic heart phantom.

Authors:  Tommi Kokki; Hannu T Sipilä; Mika Teräs; Tommi Noponen; Nicolas Durand-Schaefer; Riku Klén; Juhani Knuuti
Journal:  J Nucl Cardiol       Date:  2010 Jan-Feb       Impact factor: 5.952

6.  Nonrigid PET motion compensation in the lower abdomen using simultaneous tagged-MRI and PET imaging.

Authors:  B Guérin; S Cho; S Y Chun; X Zhu; N M Alpert; G El Fakhri; T Reese; C Catana
Journal:  Med Phys       Date:  2011-06       Impact factor: 4.071

7.  Higher-order singular value decomposition-based lung parcellation for breathing motion management.

Authors:  Samadrita Roy Chowdhury; Joyita Dutta
Journal:  J Med Imaging (Bellingham)       Date:  2019-05-03

8.  Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.

Authors:  Mathieu Hatt; John A Lee; Charles R Schmidtlein; Issam El Naqa; Curtis Caldwell; Elisabetta De Bernardi; Wei Lu; Shiva Das; Xavier Geets; Vincent Gregoire; Robert Jeraj; Michael P MacManus; Osama R Mawlawi; Ursula Nestle; Andrei B Pugachev; Heiko Schöder; Tony Shepherd; Emiliano Spezi; Dimitris Visvikis; Habib Zaidi; Assen S Kirov
Journal:  Med Phys       Date:  2017-05-18       Impact factor: 4.071

9.  Respiratory trace feature analysis for the prediction of respiratory-gated PET quantification.

Authors:  Shouyi Wang; Stephen R Bowen; W Art Chaovalitwongse; George A Sandison; Thomas J Grabowski; Paul E Kinahan
Journal:  Phys Med Biol       Date:  2014-02-07       Impact factor: 3.609

10.  Attenuation correction in 4D-PET using a single-phase attenuation map and rigidity-adaptive deformable registration.

Authors:  Faraz Kalantari; Jing Wang
Journal:  Med Phys       Date:  2017-02-03       Impact factor: 4.071

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