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Shape Analysis Based Strategies for Evaluation of Adaptations in In Vivo Right Ventricular Geometry and Mechanics as Effected by Pulmonary Hypertension

Jing, Xu (2020) Shape Analysis Based Strategies for Evaluation of Adaptations in In Vivo Right Ventricular Geometry and Mechanics as Effected by Pulmonary Hypertension. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Pulmonary hypertension (PH) is a deadly disease, which as it progresses over time alters many aspects of the afflicted heart, and particularly the right ventricle (RV), such as its size, shape, and mechanical material properties. However, due to the limitations of what can be measured noninvasively in a standard clinical setting and the difficulty caused by the intrinsic complexity of the human RV, there has been little success to-date to identify clinically obtainable metrics of RV shape, deformation, or material properties that are quantitatively linked to the onset and progression of PH. Towards addressing this challenge, this work proposes the use of the shape and shape change of the RV, which is measurable from standard clinical imaging, along with statistical analysis and inverse material characterization strategies to identify new metrics of RV mechanical function that will be uniquely predictive of the state of the heart subject to PH. Thus, this thesis can be broken into two components: the first is statistical shape analysis of the RV, and the second is inverse characterization of heart wall mechanical material properties from RV shape change and measurable hemodynamics. For the statistical shape analysis investigation, a custom approach using harmonic mapping and proper orthogonal decomposition is applied to determine the fundamental components of shape (i.e., modes) from a dataset of 50 patients with varying states of PH, including some without PH at all. For the inverse characterization work, a novel method was developed to estimate the heterogeneous properties of a structure, given only the target shape of that structure, after a known excitation is applied to deform the structure. Lastly, the inverse characterization algorithm was extended to be applicable to actual in vivo cardiac data, particularly through the inclusion of a registration step to account for the organ-scale rotation and translation of the heart.
Future work remains to expand on the computational efficiency of this inverse solution estimation procedure, and to further evaluate and improve upon the consistency and clinical interpretability of the material property estimates.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Jing, Xujix57@pitt.edujix57
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairBrigham,
Committee MemberWong, Timothywongtc@upmc.eduwongtc
Committee MemberLin, Jeen-Shangjslin@pitt.edumuslin
Committee MemberKhanna, Vikaskhannav@pitt.edukhannav
Date: 31 July 2020
Date Type: Publication
Defense Date: 20 February 2020
Approval Date: 31 July 2020
Submission Date: 12 April 2020
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 90
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Civil and Environmental Engineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Inverse Problem, Material Characterization, Shape Matching, Clinical, Medical Imaging,Statistical Shape Analysis, Right Ventricle, Pulmonary Hypertension, Outcome
Date Deposited: 31 Jul 2020 13:40
Last Modified: 31 Jul 2020 13:40


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