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Non-rigid registration of the liver in consecutive CT studies for assessment of tumor response to radiofrequency ablation.
- Source :
-
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2007; Vol. 2007, pp. 856-9. - Publication Year :
- 2007
-
Abstract
- This paper introduces a non-rigid registration approach for tracking tumor response to radiofrequency ablation (RFA) across consecutive imaging studies. The method described here exploits the combined power of global and local alignment of pre- and post-treatment CT liver images for a given patient. The distinguishing characteristics of the system is that it can infer volumetric deformation based upon surface displacements using a linearly elastic finite element model (FEM). This technique may provide valuable information that could be beneficial in a range of surgical interventions as well as for the purposes of monitoring tissue response and therapy planning.
- Subjects :
- Algorithms
Artificial Intelligence
Humans
Imaging, Three-Dimensional methods
Pattern Recognition, Automated methods
Radiographic Image Enhancement methods
Reproducibility of Results
Sensitivity and Specificity
Treatment Outcome
Catheter Ablation methods
Liver Neoplasms diagnostic imaging
Liver Neoplasms surgery
Radiographic Image Interpretation, Computer-Assisted methods
Subtraction Technique
Surgery, Computer-Assisted methods
Tomography, X-Ray Computed methods
Subjects
Details
- Language :
- English
- ISSN :
- 2375-7477
- Volume :
- 2007
- Database :
- MEDLINE
- Journal :
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
- Publication Type :
- Academic Journal
- Accession number :
- 18002091
- Full Text :
- https://doi.org/10.1109/IEMBS.2007.4352425