A Review on Motion Correction Methods in Pet/Ct Images for Detection of Cancer Cells

F. Nayyeri

doi:10.1515/amb-2015-0020

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A Review on Motion Correction Methods in Pet/Ct Images for Detection of Cancer Cells

Acta Medica Bulgarica

Volume 42 (2015): Issue 2 (November 2015)

By: F. Nayyeri

Open Access

|Nov 2015

1. Ambrosini, V. et al. PET/CT imaging in different types of lung cancer: an overview. - European Journal of Radiology, 81, 2012, 5, 988-1001.
Open DOI Search in Google Scholar
2. Ambwani, S. et al. Joint cardiac and respiratory motion correction and super-resolution reconstruction in coronary PET/CT. Biomedical Imaging: From Nano to Macro, IEEE International Symposium on 2011, 2011, IEEE.
Open DOI Search in Google Scholar
3. Anishchenko, S. et al. Quality Estimation Of Motion Correction For Pet Brain Images. - Southern Federal University, 2012.
Search in Google Scholar
4. Bagci, U. et al. Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images. - Medical Image Analysis, 2013, 8, 929-945.
Open DOI Search in Google Scholar
5. Bai, W. and M. Brady. Motion correction and attenuation correction for respiratory gated PET images. - Medical Imaging, 30, IEEE Transactions on 2011, 2, 351-365.
Open DOI Search in Google Scholar
6. Bettinardi, V. et al. Detection and compensation of organ/lesion motion using 4D-PET/CT respiratory gated acquisition techniques. - Radiotherapy and Oncology, 96, 2010, 3, 311-316.
Open DOI Search in Google Scholar
7. Chang, G. et al. Joint correction of respiratory motion artifact and partial volume effect in lung/thoracic PET/CT imaging. - Medical Physics, 37, 2010, 12, 6221-6232.
Open DOI Search in Google Scholar
8. Fayad, H. et al. A generic respiratory motion model for motion correction in PET/CT. Nuclear Science Symposium Conference Record (NSS/MIC), 2010, IEEE 2010.
Open DOI Search in Google Scholar
9. Ferlay, J. et al. GLOBOCAN 2012 v1. 0, Cancer Incidence and Mortality Worldwide: IARC Cancer- Base № 11. Lyon, France: International Agency for Research on Cancer; 2013. - Last accessed April 2014.
Search in Google Scholar
10. Fredberg Persson, G. et al. Artifacts in conventional computed tomography (CT) and free breathing four-dimensional CT induce uncertainty in gross tumor volume determination. - International Journal of Radiation Oncology* Biology* Physics, 80, 2011, 5, 1573-1580.
Open DOI Search in Google Scholar
11. He, J., et al. Motion compensation based on dynamic data in PET acquisition. Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on 2010, IEEE.
Open DOI Search in Google Scholar
12. Keller, S. H. et al. Methods for motion correction evaluation using 18F-FDG human brain scans on a high-resolution PET scanner. - Journal of Nuclear Medicine 53, 2012, 3, 495-504.
Open DOI Search in Google Scholar
13. Lee, P. et al. Current concepts in F18 FDG PET/CT-based radiation therapy planning for lung cancer. - Frontiers in Oncology, 2, 2012.
Open DOI Search in Google Scholar
14. Li, G. et al. Correction of motion-induced misalignment in co-registered PET/CT and MRI (T1/T2/ FLAIR) head images for stereotactic radiosurgery. - Journal of Applied Clinical Medical Physics, 12, 2010, 1.
Open DOI Search in Google Scholar
15. Marache-Francisco, S. et al. Impact of respiratory motion correction on the detection of small lesions in whole-body PET imaging: a simulation study. Nuclear Science Symposium Conference Record (NSS/MIC), IEEE, 2010.
Open DOI Search in Google Scholar
16. McClelland, J. R. et al. Respiratory motion models: A review. - Medical Image Analysis, 17, 2013, 1, 19-42.
Open DOI Search in Google Scholar
17. McQuaid, S. J. et al. A novel method for incorporating respiratory-matched attenuation correction in the motion correction of cardiac PET-CT studies. - Physics in Medicine and Biology, 56, 2011, 10, 2903.
Search in Google Scholar
18. Nehmeh, S. A. et al. Effect of respiratory gating on quantifying PET images of lung cancer. - Journal of Nuclear Medicine, 43, 2002, 7, 876-881.
Search in Google Scholar
19. Noonan, P. et al. Accurate markerless respiratory tracking for gated whole body PET using the Microsoft Kinect. Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), IEEE, 2012.
Open DOI Search in Google Scholar
20. Pépin, A. et al. Management of respiratory motion in PET/computed tomography: the state of the art. - Nuclear Medicine Communications, 35, 2014, 2, 113.
Open DOI Search in Google Scholar
21. Rahmim, A. et al. Strategies for motion tracking and correction in PET. - PET Clinics, 2, 2007, 2, 251-266.
Open DOI Search in Google Scholar
22. Saha, G. B. Data Acquisition and Corrections. - Basics of PET Imaging, Springer, 2010: 41-69.
Open DOI Search in Google Scholar
23. Takeuchi, S. et al. Impact of initial PET/CT staging in terms of clinical stage, management plan, and prognosis in 592 patients with non-small-cell lung cancer. - European Journal of Nuclear Medicine and Molecular Imaging, 41, 2014, 5, 906-914.
Open DOI Search in Google Scholar