The Robotics Institute

Carnegie Mellon Robotics Institute

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 Center(s) / Consortia: Vision and Autonomous Systems Center and Medical Robotics Technology Center

Associated Project(s): Knowledge-Guided Deformable Registration

Text Reference

Mei Chen, Takeo Kanade, Dean Pomerleau, and Henry 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

Menu