Modeling of Intraluminal Surfaces of Thoracic Aortas
Licentiatavhandling, 2020

Vascular diseases are getting more and more common as a result of modern-day lifestyle and the fact that the population is getting older. One of the newest treatments for vascular diseases such as aneurysms and dissections is endovascular repair with endografting. This treatment uses a fabric covered metallic structure that is implanted using a minimally invasive approach to serve as an artificial vessel in a damaged region. To ensure that the interventions are successful, the endograft must be placed in the correct location, and be designed to sustain the hostile biological, chemical, and mechanical conditions in the body for many years.

To accurately describe the complex mechanical conditions of the intraluminal surfaces of diseased blood vessels inside the body, this thesis presented a segmentation and quantification methodology for a natural and intuitive vessel surface description. The thesis also included some important clinical applications, all based on non-invasive temporal imaging. The results emphasized the need for explicit surface curvature quantification, as compared to relying solely on centerline curvature and estimation methods. Methods for preoperative prediction of endograft malapposition severity based on geometric analysis of thoracic aortic surfaces were introduced. Finally, a multiaxial dynamic analysis of cardiac induced thoracic aortic surface deformation showed how a thoracic endovascular aortic repair is a↵ecting the deformations of the thoracic aorta.

Thus, the work presented in this thesis contributes by giving surgeons a tool to use in their treatment planning to minimize complications. Moreover, this method provides more nuanced boundary conditions so that endograft manufacturers can improve their designs to improve the quality of life for the treated patients.




cardiac pulsatility

geometric modeling

surface curvature


stereolithographic surface


Thoracic aorta

Opponent: Christian T. Gasser, Royal Institute of Technology, Stockholm


Johan Bondesson

Chalmers, Mekanik och maritima vetenskaper, Dynamik

Thoracic aortic geometry correlates with endograft bird-beaking severity

Journal of Vascular Surgery,; Vol. 72(2020)p. 1196-1205

Artikel i vetenskaplig tidskrift

Automated Quantification of Diseased Thoracic Aortic Longitudinal Centerline and Surface Curvatures

Journal of Biomechanical Engineering,; Vol. 142(2020)

Artikel i vetenskaplig tidskrift

Suh G-Y, Bondesson J, Kim John, Zhu YD., Lee JT., Dake MD, Cheng CP. Biomechanical Effects of TEVAR on Multiaxial Pulsatility and Surface Curvature Deformation of the Thoracic Aorta



Biomedicinsk laboratorievetenskap/teknologi

Medicinsk bildbehandling




Opponent: Christian T. Gasser, Royal Institute of Technology, Stockholm

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