Search

Navigator: RI | Publications | Anomaly detection through registration

Graphics enhanced version of this site

Anomaly detection through registration
M. Chen, T. Kanade, D. Pomerleau, and H. Rowley
NASA Image Registration Workshop, November, 1997.

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference


Download [Help]

Adobe portable document format (pdf) [961 KB]
Compressed postscript (ps.gz) [2027 KB]

Copyright notice: 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 author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


Abstract

We study an application of image registration in the medical domain. Based on a 3-D hierarchical deformable registration algorithm, we developed a prototype for automatic registering a standard atlas to a patient's data to create a customized atlas. The registration algorithm can also be applied to detect asymmetry in the patient data to help indicate the existence and location of any pathology. We have conducted experiments on 11 MRI scans of normal brains, 3 MRI and 1 CT scan of brains with pathologies.


Notes

Associated centers: VASC and MRTC
Associated project: Knowledge-Guided Deformable Registration


Text Reference

M. Chen, T. Kanade, D. Pomerleau, and H. Rowley, "Anomaly detection through registration," NASA Image Registration Workshop, November, 1997.


BibTeX Reference

@inproceedings{Chen_1997_2604,
   author = "Mei Chen and Takeo Kanade and Dean Pomerleau and Henry Rowley",
   title = "Anomaly detection through registration",
   booktitle = "NASA Image Registration Workshop",
   month = "November",
   year = "1997"
}


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
For updates and comments, please see these instructions.
This page maintained by robotwebmaster@ri.cmu.edu