eprintid: 1476298 rev_number: 33 eprint_status: archive userid: 608 dir: disk0/01/47/62/98 datestamp: 2016-04-06 15:47:31 lastmod: 2021-09-20 00:10:14 status_changed: 2016-08-23 16:44:49 type: article metadata_visibility: show creators_name: Dong, L creators_name: Wijesinghe, P creators_name: Dantuono, J creators_name: Sampson, D creators_name: Munro, P creators_name: Kennedy, B creators_name: Oberai, A title: Quantitative Compression Optical Coherence Elastography as an Inverse Elasticity Problem ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F42 keywords: Compression optical coherence elastography, inverse elasticity problem, quantitative elasticity imaging, optical coherence tomography note: Copyright © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. abstract: Quantitative elasticity imaging seeks to retrieve spatial maps of elastic moduli of tissue. Unlike strain, which is commonly imaged in compression elastography, elastic moduli are intrinsic properties of tissue, and therefore, this approach reconstructs images that are largely operator and system independent, enabling objective, longitudinal, and multisite diagnoses. Recently, novel quantitative elasticity imaging approaches to compression elastography have been developed. These methods use a calibration layer with known mechanical properties to sense the stress at the tissue surface, which combined with strain, is used to estimate the tissue’s elastic moduli by assuming homogeneity in the stress field. However, this assumption is violated in mechanically heterogeneous samples. We present a more general approach to quantitative elasticity imaging that overcomes this limitation through an efficient iterative solution of the inverse elasticity problem using adjoint elasticity equations. We present solutions for linear elastic, isotropic, and incompressible solids; however, this method can be employed for more complex mechanical models. We retrieve the spatial distribution of shear modulus for a tissue-simulating phantom and a tissue sample. This is the first time, to our knowledge, that the iterative solution of the inverse elasticity problem has been implemented on experimentally acquired compression optical coherence elastography data. date: 2016-03-30 date_type: published official_url: http://dx.doi.org/10.1109/JSTQE.2015.2512597 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green article_type_text: Journal Article verified: verified_manual elements_id: 1117235 doi: 10.1109/JSTQE.2015.2512597 language_elements: English lyricists_name: Munro, Peter lyricists_id: PRTMU72 actors_name: Munro, Peter actors_id: PRTMU72 actors_role: owner full_text_status: public publication: IEEE Journal of Selected Topics in Quantum Electronics volume: 22 number: 3 article_number: 6802211 issn: 1077-260X citation: Dong, L; Wijesinghe, P; Dantuono, J; Sampson, D; Munro, P; Kennedy, B; Oberai, A; (2016) Quantitative Compression Optical Coherence Elastography as an Inverse Elasticity Problem. IEEE Journal of Selected Topics in Quantum Electronics , 22 (3) , Article 6802211. 10.1109/JSTQE.2015.2512597 <https://doi.org/10.1109/JSTQE.2015.2512597>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/1476298/1/quant_oce_revised_05.pdf