PublicationDetail

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

THIS WEBPAGE IS DEPRECATED - please visit our new website

A. Eslami, A. Teimori, M. Yigitsoy, N. Navab
A new framework for morphological and morphometric study of fish species based on groupwise registration of otolith images
IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, spain, May 2012 (bib)

Morphology of bones, teeth, and some particular structures are widely used for categorizing species and studying their evolution. In this paper, we used groupwise registration to provide a representative image from the set of the image samples that represents its typical morphology. We also provided perturbation map which indicates the deviation of each point through the ensemble. These images support qualitative discussions about the morphology of structures in different species. The perturbation map can be further exploited for determining appropriate landmarks for morphometric analysis. Knowing the deformation between the prototype and each image sample from the species, the framework allows for automatic detection of corresponding points. Once the user puts a landmark on the prototype image, the corresponding points on all the image samples will be determined. This maximizes the accuracy in measuring the morphological indices by eliminating the human error due to uncertainty in locating landmarks.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.



Edit | Attach | Refresh | Diffs | More | Revision r1.13 - 30 Jan 2019 - 15:16 - LeslieCasas

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif