4D continuous medial representation by geodesic shape regression

Sungmin Hong, James Fishbaugh, Guido Gerig

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

Abstract

Longitudinal shape analysis has shown great potential to model anatomical processes from baseline to follow-up observations. Shape regression estimates a continuous trajectory of time-discrete anatomical shapes to quantify temporal changes. The need for shape alignment and point-to-point correspondences represent limitations of current shape analysis methodologies, and present significant challenges in shape evaluation. We propose a method that estimates a continuous trajectory of continuous medial representations (CM-Rep) from a set of time-discrete observed shapes. To avoid the traditional step of aligning individual objects, shape changes are modeled via diffeomorphic ambient space deformations. Using a medial shape representation, we separately capture object pose changes and intrinsic geometry changes. Tests and validation with synthetic and real anatomical shapes demonstrate that the new method captures extrinsic shape changes as well as intrinsic shape changes encoded with CM-Reps, a highly relevant property for studying growth and disease processes.

LanguageEnglish (US)
Title of host publication2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
PublisherIEEE Computer Society
Pages1014-1017
Number of pages4
Volume2018-April
ISBN (Electronic)9781538636367
DOIs
StatePublished - May 23 2018
Event15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States
Duration: Apr 4 2018Apr 7 2018

Other

Other15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
CountryUnited States
CityWashington
Period4/4/184/7/18

Fingerprint

Trajectories
Anatomic Models
Geometry
Growth

Keywords

  • Brain
  • Modeling - Anatomical
  • Physiological and pathological
  • Shape Analysis

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Hong, S., Fishbaugh, J., & Gerig, G. (2018). 4D continuous medial representation by geodesic shape regression. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018 (Vol. 2018-April, pp. 1014-1017). IEEE Computer Society. https://doi.org/10.1109/ISBI.2018.8363743

4D continuous medial representation by geodesic shape regression. / Hong, Sungmin; Fishbaugh, James; Gerig, Guido.

2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April IEEE Computer Society, 2018. p. 1014-1017.

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

Hong, S, Fishbaugh, J & Gerig, G 2018, 4D continuous medial representation by geodesic shape regression. in 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. vol. 2018-April, IEEE Computer Society, pp. 1014-1017, 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, United States, 4/4/18. https://doi.org/10.1109/ISBI.2018.8363743
Hong S, Fishbaugh J, Gerig G. 4D continuous medial representation by geodesic shape regression. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April. IEEE Computer Society. 2018. p. 1014-1017 https://doi.org/10.1109/ISBI.2018.8363743
Hong, Sungmin ; Fishbaugh, James ; Gerig, Guido. / 4D continuous medial representation by geodesic shape regression. 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April IEEE Computer Society, 2018. pp. 1014-1017
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