Cerebral aneurysm morphometrics from 2D biplane angiograms

ii I would like to dedicate my thesis to my Parents, Professors, Relatives and Friends, every single being who have helped me and encouraged at every stage of my life. iii ACKNOWLEDGMENTS I am very grateful to my academic advisor, Dr. Madhavan Raghavan, who gave me an opportunity to be a part of his wonderful team at BioMOST laboratory, University of Iowa. I really appreciate his help, guidance throughout every step of my research without which I would not have been able to do the work that I have. I learnt a lot from him. Appreciate his patience and understanding. It has been an honor working with you. I am thankful to Dr. Punam Saha, who suggested us the approach which we took in the research and that turned out to be a success. I appreciate his valuable inputs in the research. I would like to thank Dr. John Huston, who provided us support with aneurysm traces from Mayo Clinic, Rochester. I am grateful to Dr. Jim Torner without whose support the project would not have even started. I am very thankful to Dr. Xiaodong Wu, who became a part of my research committee at such a short notice. I am also very grateful to my lab mates at BioMOST for their help and support. I am very thankful to all the staff and faculty members of Electrical and Computer Engineering for providing a wonderful support throughout my stay here. I would also like to show my gratitude to Dharmsinh Desai University, through which I was able to explore this opportunity at The University of Iowa under the B.E – M.S joint program. A special thanks to Dr. University for their help and support. Last but not the least; I would like to thank my parents, family members and all my friends for their love and encouragement throughout. iv ABSTRACT Cerebral aneurysm is a local dilation in a blood vessel in brain that can rupture and cause hemorrhagic stroke. A study by International Study of Unruptured Intracranial Aneurysms (ISUIA) has collected a large database of bi-plane cerebral angiograms from patients who were followed longitudinally. This unique data may be mined for testing hypotheses on the role of morphology metrics in rupture risk. A method of reconstructing an approximate 3D geometry of aneurysms from bi-plane angiograms was developed using techniques in curve morphing. Aneurysms from a pilot population of 150 patients …