Building and Testing a Statistical Shape Model of the Human Ear Canal

Paulsen, Rasmus Reinhold; Larsen, Rasmus; Nielsen, Claus Vinther; Laugesen, Søren; Ersbøll, Bjarne Kjær

doi:10.1007/3-540-45787-9_47

Cited by 38 publications

(34 citation statements)

References 18 publications

(19 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…and max ≈ 2.3 mm.. It is a well known fact that ear size and gender are related [7]. It is observed that the first mode of variation (P C1 shape ) of our shape model is related to size ( fig.…”

Section: Analysis and Resultssupporting

confidence: 51%

See 1 more Smart Citation

Analysis of Deformation of the Human Ear and Canal Caused by Mandibular Movement

Darkner

Larsen

Paulsen

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

Abstract. Many hearing aid users experience physical discomfort when wearing their device. The main contributor to this problem is believed to be deformation of the ear and ear canal caused by movement of the mandible. Physical discomfort results from added pressure on soft tissue areas in the ear. Identifying features that can predict potential deformation is therefore important for identifying problematic cases in advance. A study on the physical deformation of the human ear and canal due to movement of the mandible is presented. The study is based on laser scannings of 30 pairs of ear impressions from 9 female and 21 male subjects. Two impressions have been taken from each subject, one with open mouth, and one with the mouth closed. All impressions are registered using non-rigid surface registration and a shape model is built. From each pair of impressions a deformation field is generated and propagated to the shape model, enabling the building of a deformation model in the reference frame of the shape model. A relationship between the two models is established, showing that the shape variation can explain approximately 50% of the variation in the deformation model. An hypothesis test for significance of the deformations for each deformation field reveals that all subjects have significant deformation at Tragus and in the canal. Furthermore, a relation between the magnitude of the deformation and the gender of the subject is demonstrated. The results are successfully validated by comparing the outcome to the anatomy by using a single set of high resolution histological sectionings of the region of interest.

show abstract

Section: Analysis and Resultssupporting

confidence: 51%

“…However, all of the above is based on manual measurements and manual registration, which is prone to error. A statistical shape model of the static ear canal based on scanned ear impressions and automated registration have been presented by Paulsen et al [7].…”

Section: Previous Workmentioning

confidence: 99%

Analysis of Deformation of the Human Ear and Canal Caused by Mandibular Movement

Darkner

Larsen

Paulsen

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…Previous studies investigated the deformation of the ear canal and concha using calipers [2], and deformable shape models [3,4]. Yet, the relationship between deformations of the ear and clinical observations have so far not been explored.…”

Section: Prior Workmentioning

confidence: 99%

Analysis of Surfaces Using Constrained Regression Models

Darkner

Sabuncu²,

Golland³

et al. 2008

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…A method is developed for building statistical shape models based on a training set with an initial sparse annotation of corresponding landmarks of vary-ing confidence [14]. A model mesh is aligned to all shapes in the training data using the thin plate spline (TPS) transformation based on a few anatomical landmarks.…”

Section: Markov Random Field Correspondencesmentioning

confidence: 99%

Some Issues of Biological Shape Modelling with Applications

et al. 2003

Self Cite

View full text Add to dashboard Cite

Abstract. This paper illustrates current research at Informatics and Mathematical Modelling at the Technical University of Denmark within biological shape modelling. We illustrate a series of generalizations to, modifications to, and applications of the elements of constructing models of shape or appearance. These elements are correspondence analysis, analysis and decomposition of variability, alignment, and visualisation.

show abstract

Building and Testing a Statistical Shape Model of the Human Ear Canal

Cited by 38 publications

References 18 publications

Analysis of Deformation of the Human Ear and Canal Caused by Mandibular Movement

Analysis of Deformation of the Human Ear and Canal Caused by Mandibular Movement

Analysis of Surfaces Using Constrained Regression Models

Some Issues of Biological Shape Modelling with Applications

Contact Info

Product

Resources

About