INTRA-PATIENT REGISTRATION METHODS FOR THORACIC CT EXAMS
José Silvestre Silva, João Cancela, Luísa Teixeira
2009
Abstract
Now-a-days CT scanners provide detailed morphological information of pulmonary structures, with great importance to the diagnostic and follow-up of oncological diseases. When a patient with lung cancer is submitted to several CT exams during a period of time; these exams need an appropriate registration to quantify or visualize the tumour’s evolution. We propose a new method for 3D intra-patient registration of thoracic CT exams and compare its results with several 3D registration methods. The performance of these registration methods is analysed, computing several normalized figures of merit; we also explore these metrics to check which is more sensible to changes in CT exams due to the presence of lung tumours. The results with several cases of intra-patient, intra-modality registration show that the proposed method provides an accurate registration which is needed for the quantitative tracking of lesions that may effectively assist the follow-up process of oncological patients.
References
- Betke, M., Hong, H., Thomas, D., Prince, C., & Ko, J. P. (2003). Landmark Detection in the Chest and Registration of Lung Surfaces with an Application to Nodule Registration. Medical Image Analysis, 7(3), 265-281.
- Blaffert, T., & Wiemker, R. (2004). Comparison of different follow-up lung registration methods with and without segmentation. SPIE Medical Imaging 2004, 5370, 1701-1708.
- Boldea, V., Sarrut, D., & Carrie, C. (2005). Comparison of 3D Dense Deformable Registration Methods for Breath-hold Reproducibility Study in Radiotherapy. SPIE Medical Imaging: Visualization, Image-Guided Procedures, and Display, 5747, 222-230.
- Brown, L. G. (1992). A Survey of Image Registration Techniques. ACM Computing Surveys, 24(4), 325-376.
- Chambon, S., Moreno, A., Santhanam, A. P., Rolland, J. P., Angelini, E., & Bloch, I. (2007). CT-PET Landmark-based Lung Registration Using a Dynamic Breathing Model. Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007) - Volume 00, 691-696.
- Chen, X., Varley, M. R., Shark, L.-K., Shentall, G. S., & Kirby, M. C. (2007). Automatic 3D-2D image registration using partial digitally reconstructed radiographs along projected anatomic contours. Proc. of International Conference on Medical Information Visualisation - BioMedical Visualisation (MediViz 2007), 3-8.
- El-Baz, A., Yuksel, S., Elshazly, S., & Farag, A. (2005). Non-rigid registration techniques for automatic follow-up of lung nodules. Proc. of Computer Assisted Radiology and Surgery (CARS'05), Berlin, Germany, 1115-1120.
- Fitzpatrick, J. M., Hill, D. L. G., & Calvin R. Maurer, J. (2000). Image Registration. In M. Sonka & J. M. Fitzpatrick (Eds.), Handbook of Medical Imaging (Vol. 2, pp. 447 - 514): SPIE Press.
- Fung, A. Y. C., Wong, J. R., Cheng, C.-W., Grimm, S. L., & Uematsu, M. (2005). A comparison of two image fusion techniques in CT-on-Rails localization of radiation delivery. Physica Medica, 21(3), 113-119.
- Hill, D. L. G., Batchelor, P. G., Holden, M., & Hawkes, D. J. (2001). Medical image registration. Physics in Medicine and Biology, 46(3), 1- 45.
- Lagarias, J. C., Reeds, J. A., Wright, M. H., & Wright, P. E. (1998). Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions. SIAM J. on Optimization, 9(1), 112-147.
- Lewis, R. M., & Torczon, V. (2002). A Globally Convergent Augmented Lagrangian Pattern Search Algorithm for Optimization with General Constraints and Simple Bounds. SIAM J. on Optimization, 12(4), 1075-1089.
- Li, B., Christensen, G. E., Dill, J., Hoffman, E. A., & Reinhardt, J. M. (2002). 3D inter-subject warping and registration of pulmonary CT images for a human lung model. SPIE - Medical Imaging 2002: Physiology and Function from Multidimensional Images, 4683, 324- 335.
- Matsopoulos, G. K., Mouravliansky, N. A., Asvestas, P. A., Delibasis, K. K., & Kouloulias, V. (2002). Thoracic non-rigid registration combining selforganizing maps and radial basis functions. Med Phys., 29(2), 201-213.
- Pratt, W. K. (2001). Digital Image Processing: John Wiley & Sons, Inc.
- Ruan, D., Fessler, J. A., Robserson, M., Balter, J., & Kessler, M. (2007). Nonrigid Registration with Regularization Incorporating Local Tissue Rigidity. Phys. Med. Biol. (in revision).
- Santos, B. S., Ferreira, C., Silva, J. S., Silva, A., & Teixeira, L. (2004). Quantitative Evaluation of a Pulmonary Contour Segmentation Algorithm in X-ray Computed Tomography Images. Academic Radiology, 11(8), 868-878.
- Silva, A., Silva, J. S., Santos, B. S., & Ferreira, C. (2001). Fast Pulmonary Contour Extraction in X-ray CT Images: A Methodology and Quality Assessment. SPIE - Medical Imaging 2001: Physiology and Function from Multidimensional Images, 4321, 216- 224.
- Silva, J. S., Silva, A., & Santos, B. S. (2003). Denoising Methods in High-Resolution X-Ray Computed Tomography. Proceedings of BioEng 2003 - 7th Portuguese Conference on Biomedical Engineering, 59 (extended version in CD of Proceedings).
- Silva, J. S. S. (2005). Segmentação Pulmonar em Estudos de Tomografia Axial Computorizada: PhD Thesis (in Portuguese), Universidade de Aveiro.
- Sonka, M., Hlavac, V., & Boyle, R. (1998). Image Processing, Analysis, and Machine Vision (2nd ed.): PWS Publishing.
- Tang, L., Hamarneh, G., & Celler, A. (2006). Coregistration of Bone CT and SPECT Images Using Mutual Information. IEEE Symposium on Signal Processing and Information Technology, 116-121.
- Torczon, V. (1997). On the Convergence of Pattern Search Algorithms. SIAM J. on Optimization, 7(1), 1-25.
- West, J. B., Maurer, C. R., & Dooley, J. R. (2005). Hybrid point-and-intensity-based deformable registration for abdominal CT images. Proceedings of SPIE Medical Imaging 2005, 5747, 204-211.
Paper Citation
in Harvard Style
Silvestre Silva J., Cancela J. and Teixeira L. (2009). INTRA-PATIENT REGISTRATION METHODS FOR THORACIC CT EXAMS . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 285-290. DOI: 10.5220/0001538002850290
in Bibtex Style
@conference{biosignals09,
author={José Silvestre Silva and João Cancela and Luísa Teixeira},
title={INTRA-PATIENT REGISTRATION METHODS FOR THORACIC CT EXAMS
},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={285-290},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001538002850290},
isbn={978-989-8111-65-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - INTRA-PATIENT REGISTRATION METHODS FOR THORACIC CT EXAMS
SN - 978-989-8111-65-4
AU - Silvestre Silva J.
AU - Cancela J.
AU - Teixeira L.
PY - 2009
SP - 285
EP - 290
DO - 10.5220/0001538002850290