Analysis of Surfaces using Constrained Regression Models

Analysis of Surfaces using Constrained Regression Models
Sune Darkner, Mert R. Sabuncu, Polina Golland, Rasmus R. Paulsen, Rasmus Larsen
Abstract	We present a study of the relationship between the changes in the shape of the human ear due to jaw movement and acoustical feedback (AF) in hearing aids. In particular, we analyze the deformation field of the outer ear associated with the movement of the mandible (jaw bone) to understand its effect on AF and identify local regions that play a significant role. Our data contains ear impressions of 42 hearing aid users, in two different positions: open and closed mouth, and survey data including information about experienced discomfort due to AF. We use weighted support vector machines (WSVM) to investigate the separation between the presence and lack of AF and achieve classification accuracy of 80% based on the deformation field. To robustly localize the regions of the deformation field that significantly contribute to AF we employ logistic regression penalized with elastic net (EN). By visualizing the selected variables on the mean surface, we provide clinical interpretations of the results.
Type	Conference paper [With referee]
Conference	procceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention
Year	2008 Vol. 5241 No. I pp. 842-9
Publisher	Springer
Series	Lecture Notes in Computer Science
ISBN / ISSN	ISBN: 978-3-540-85987-1
BibTeX data	[bibtex]
IMM Group(s)	Image Analysis & Computer Graphics