Document Type
Honors Thesis
Abstract
Hypertrophic cardiomyopathy (HCM) is a clinically prevalent disease in people around the world, with potential outcomes ranging from sudden cardiac arrest and/or heart failure to the normal life expectancy of the patients. HCM is a condition where the interventricular septal wall becomes abnormally larger, making it difficult for the heart to pump blood from the left ventricle. The current gold standard for the treatment of HCM is Cardiac Myectomy, in which the overgrown tissues are resected to correct the heart and restore the blood flow. Due to the complex anatomy of the heart and anatomical differences in the internal structures from one patient to another, myectomy comes with significant risks and needs very experienced surgeons in the field. Surgeons often have to improvise during the surgery due to unexpected conditions or structures in a patient's heart. The 3D models fabricated can be used in surgical planning. It has been shown that having a 3D model decreases the time to perform a Myectomy and increases the chances of success. To further understand the anatomy of the Heart and blood flow pattern post-surgery, I used ScanIP software to create 3D models of how a hypertrophic heart might look after surgery. These models can be used to study blood flow patterns and establish an optimum amount of tissue in the interventricular septum needed to be removed during myectomy. For the senior design project, my team created 3D models of a heart from CT scans of a patient and printed physical models of the heart to provide surgeons access to the internal structures for presurgical planning. The 3D model was generated using Simpleware ScanIP using automated and manual segmentation. The 3D models provided accurate physical models that surgeons planning the surgery can use. After the completion of 3D modeling, the study of blood flow patterns in the left ventricular outflow tract (LVOT) using ANSYS can help in understanding physical stress in the heart due to hypertrophy. Running simulations on the heart models after surgery can help access the correction of the heart and study the long-term effect. So, suppose we can have heart models which mimic the post-surgical heart. In that case, surgeons can have access to the simulation results, which can help them optimize the amount of tissue resection needed during myectomy. The post-surgical model was developed in Simpleware ScanIP software. ScanIP is an FDA-approved software for use in clinical use. ScanIP allows both automated and manual segmentation for 3D modeling. Automated segmentation is not always helpful as the threshold values that represent surrounding tissues and heart tissues are not significantly different. Manual segmentation was used in the process to create the 3D models. The 3D models were developed in halves to visualize the hypertrophic growth better.
Publication Date
5-1-2022
Language
English
Faculty Mentor of Honors Project
Jun Liao
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Pandit, Sudhir, "Computational Modeling of Post-Surgical Hypertrophic Heart for Surgical Planning" (2022). 2022 Spring Honors Capstone Projects. 2.
https://mavmatrix.uta.edu/honors_spring2022/2