Elastography of biological tissue: Direct inversion methods that allow for local shear modulus variations

C. Antonio Sánchez, Corina S. Drapaca, Sivabal Sivaloganathan, Edward R. Vrscay

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

3 Scopus citations

Abstract

In recent years, imaging techniques have been adapted to indirectly measure stiffness of biological tissues, with the hope of using this information to aid in detecting and classifying pathological regions. Several methods have been developed to convert a sequence of strain images into a single elasticity image, but most are based on assumptions that limit the local variability of stiffness in the estimate. In this paper, two direct inversion methods are introduced. The novelty of these methods is that they concurrently solve a system of differential equations for the stiffness, allowing for strong local variations. Some ideas regarding uniqueness of solutions, an issue that is ignored in existing works, are also presented. Preliminary numerical results show that by keeping the differential terms in the tissue model, the new inversion methods can more accurately determine the tissue's stiffness distribution.

Original languageEnglish (US)
Title of host publicationImage Analysis and Recognition - 7th International Conference, ICIAR 2010, Proceedings
Pages195-206
Number of pages12
EditionPART 2
DOIs
Publication statusPublished - Aug 13 2010
Event7th International Conference on Image Analysis and Recognition, ICIAR 2010 - Povoa de Varzim, Portugal
Duration: Jun 21 2010Jun 23 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6112 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Image Analysis and Recognition, ICIAR 2010
CountryPortugal
CityPovoa de Varzim
Period6/21/106/23/10

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Antonio Sánchez, C., Drapaca, C. S., Sivaloganathan, S., & Vrscay, E. R. (2010). Elastography of biological tissue: Direct inversion methods that allow for local shear modulus variations. In Image Analysis and Recognition - 7th International Conference, ICIAR 2010, Proceedings (PART 2 ed., pp. 195-206). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6112 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-13775-4_20