Anomaly detection through registration

Mei Chen, Takeo Kanade, Dean Pomerleau, and Henry Rowley
NASA Image Registration Workshop, November, 1997.


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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",
}