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

1. Ambrosini, V. et al. PET/CT imaging in different types of lung cancer: an overview. - European Journal of Radiology, 81, 2012, 5, 988-1001.10.1016/j.ejrad.2011.03.02021458181Search 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.10.1109/ISBI.2011.5872732Search 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, 929-945.10.1016/j.media.2013.05.004379599723837967Search 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, 351-365.10.1109/TMI.2010.207851420875967Search 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, 311-316.10.1016/j.radonc.2010.07.01420708809Search 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, 6221-6232.10.1118/1.3512780382062021302779Search 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 2010.10.1109/NSSMIC.2010.5874229Search 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, 1573-1580.10.1016/j.ijrobp.2010.10.03621163584Search 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.10.1109/BMEI.2010.5639539Search 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, 495-504.10.2967/jnumed.111.09524022331217Search 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, 2012.10.3389/fonc.2012.00071339387922798989Search 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, 1.10.1120/jacmp.v12i1.3306571858721330976Search 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, 2010.10.1109/NSSMIC.2010.5874465Search in Google Scholar

16. McClelland, J. R. et al. Respiratory motion models: A review. - Medical Image Analysis, 17, 2013, 1, 19-42.10.1016/j.media.2012.09.00523123330Search 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, 2012.10.1109/NSSMIC.2012.6551910Search 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, 113.10.1097/MNM.0000000000000048386802224352107Search in Google Scholar

21. Rahmim, A. et al. Strategies for motion tracking and correction in PET. - PET Clinics, 2, 2007, 2, 251-266.10.1016/j.cpet.2007.08.00227157876Search in Google Scholar

22. Saha, G. B. Data Acquisition and Corrections. - Basics of PET Imaging, Springer, 2010: 41-69.10.1007/978-1-4419-0805-6_3Search 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. 10.1007/s00259-013-2672-824442598Search in Google Scholar