Abstract
A new generation of Multislice Computed Tomography (MSCT) scanners, which allows a complete heart coverage and offers new perspectives for cardiac kinetic evaluation, is becoming widely available. A new method has been developed for the left ventricle motion analysis from dynamic MSCT images. It is based on a 3D surface matching process applied to left cavity volumes. It provides 3D velocity fields which can express contraction or expansion movements. First results obtained on real data show that MSCT imaging could be of great clinical interest for cardiac applications.
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Frangi, et al.: Three-Dimensionnal Modeling for Functionnal Analysis of Cardiac Images: A Review. IEEE Trans. on Medical Imaging, 20(1) 2-25 (2001)
Kambhamettu, C., et al.: 3D non-rigid motion analysis under small deformations. Image and Vision Computing 21(3), 229–245 (2000)
Eusemann, et al.: Parametric Visualization Methods for the Quantitative Assesment of Myocardial Motion. Acad. Radiol. 10 66-76 (2003)
Guillaume, et al.: Segmentation de cavités cardiaques en imagerie scanner multibarettes. 12ème Forum des Jeunes Chercheurs en Génie Biologique et Médical, Nantes, France (2003)
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© 2004 Springer-Verlag Berlin Heidelberg
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Simon, A., Garreau, M., Boulmier, D., Coatrieux, JL., Le Breton, H. (2004). Cardiac Motion Extraction Using 3D Surface Matching in Multislice Computed Tomography. In: Barillot, C., Haynor, D.R., Hellier, P. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. MICCAI 2004. Lecture Notes in Computer Science, vol 3217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30136-3_136
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DOI: https://doi.org/10.1007/978-3-540-30136-3_136
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