Peter Z. Revesz
Date of this Version
M. Habibnezhad, “Image Processing Algorithms for Elastin Lamella Inside Cardiovascular Arteries,” thesis, 2019.
Automated image processing methods are greatly needed to replace the tedious, manual histology analysis still performed by many physicians. This thesis focuses on pathological studies that express the essential role of elastin lamella in the resilience and elastic properties of the arterial blood vessels. Due to the stochastic nature of the shape and distribution of the elastin layers, their morphological features appear as the best candidates to develop a mathematical formulation for the resistance behavior of elastic tissues. However, even for trained physicians and their assistants, the current measurement procedures are highly error-prone and prolonged. This thesis successfully integrates such techniques in an image processing application that results in increased speed and accuracy. In particular, the image processing algorithms can identify and count the elastin lamella within a 10% error on average. Modifications of the elastin-lamella counting algorithm can also recognize artery boundaries and calculate the continuity index and the distribution of elastin layers.
Adviser: Peter Z. Revesz