Semester
Fall
Date of Graduation
2000
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Lane Department of Computer Science and Electrical Engineering
Committee Chair
Bojan Cukic.
Abstract
Edge Detection Techniques play a very important role in medical imaging. Pre-operative diagnosis of diseases such as cancer, tumors, bone fractures etc. depend on edge detection techniques to identify the malignant growths. In orthopedics, edge detection techniques are used in the reconstruction of the skeletal system from modalities such as MRI (magnetic resonance imaging) and CT (computed tomography).;In this thesis, we develop a simple process for the three dimensional image reconstruction of the human knee, starting from computed tomography scans. Designing a digital image processing technique which successfully separates the bone from the surrounding flesh and muscle tissue is the main focus of the thesis. We use edge detection procedures to extract the edge of the bone. After the bone edge is determined, we proceed to extract the coordinates of the bone boundary. These coordinates are plotted in 3 dimensional space providing the 3D model of the human skeletal leg.;The 3D reconstruction method developed in this thesis is applicable to all skeletal tissue but is illustrated using the CT images of the human leg.
Recommended Citation
Jayashekar, Sundareswar Bangalore, "Three-dimensional image reconstruction of skeletal tissue from computed tomography" (2000). Graduate Theses, Dissertations, and Problem Reports. 1076.
https://researchrepository.wvu.edu/etd/1076