Build 4-dimensional myocardial model for dynamic CT images

Yixun Liu, Songtao Liu, Albert C. Lardo, Karl Schuleri, Marcelo Souto Nacif, David A. Bluemke, Ronald M. Summers, Jianhua Yao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

4D (3D + time) model is valuable in comprehensive assessment of cardiac functions. Usually, the generation of the 4D myocardial models involves myocardium segmentation, mesh generation and non-rigid registration (to build mesh node correspondence). In this paper, we present a method to simultaneously perform the above tasks. This method begins from a triangular surface model of the myocardium at the first phase of a cardiac cycle. Then, the myocardial surface is simulated as a linear elastic membrane, and evolves toward the next phase governed by an energy function while maintaining the mesh quality. Our preliminary experiments performed on dynamic CT images of the dog demonstrated the effectiveness of this method on both segmentation and mesh generation. The minimum average surface distance between the segmentation results of the proposed method and the ground truth can reach 0.72 ± 0.55 mm, and the mesh quality measured by the aspect ratio of the triangle was less than 11.57 ± 1.18.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8669
DOIs
StatePublished - 2013
Externally publishedYes
EventMedical Imaging 2013: Image Processing - Lake Buena Vista, FL, United States
Duration: Feb 10 2013Feb 12 2013

Other

OtherMedical Imaging 2013: Image Processing
CountryUnited States
CityLake Buena Vista, FL
Period2/10/132/12/13

Fingerprint

myocardium
mesh
Mesh generation
Myocardium
dogs
ground truth
triangles
aspect ratio
Aspect ratio
membranes
Membranes
cycles
Dogs
Experiments
energy

Keywords

  • 4D myocardial model
  • Dynamic CT
  • Finite element method
  • Linear elastic membrane
  • Surface tracking

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Liu, Y., Liu, S., Lardo, A. C., Schuleri, K., Nacif, M. S., Bluemke, D. A., ... Yao, J. (2013). Build 4-dimensional myocardial model for dynamic CT images. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 8669). [86691Q] https://doi.org/10.1117/12.2007070

Build 4-dimensional myocardial model for dynamic CT images. / Liu, Yixun; Liu, Songtao; Lardo, Albert C.; Schuleri, Karl; Nacif, Marcelo Souto; Bluemke, David A.; Summers, Ronald M.; Yao, Jianhua.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8669 2013. 86691Q.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liu, Y, Liu, S, Lardo, AC, Schuleri, K, Nacif, MS, Bluemke, DA, Summers, RM & Yao, J 2013, Build 4-dimensional myocardial model for dynamic CT images. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 8669, 86691Q, Medical Imaging 2013: Image Processing, Lake Buena Vista, FL, United States, 2/10/13. https://doi.org/10.1117/12.2007070
Liu Y, Liu S, Lardo AC, Schuleri K, Nacif MS, Bluemke DA et al. Build 4-dimensional myocardial model for dynamic CT images. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8669. 2013. 86691Q https://doi.org/10.1117/12.2007070
Liu, Yixun ; Liu, Songtao ; Lardo, Albert C. ; Schuleri, Karl ; Nacif, Marcelo Souto ; Bluemke, David A. ; Summers, Ronald M. ; Yao, Jianhua. / Build 4-dimensional myocardial model for dynamic CT images. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8669 2013.
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