Automatic segmentation using non-rigid registration

K. M. Pohl, S. Bouix, M. E. Shenton, W. E. L. Grimson, R. Kikinis
Short communications of MICCAI 2005: Eighth International Conference on Medical Image Computing and Computer Assisted Intervention
2005

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Abstract

Many neuroanatomy studies rely on brain tissue segmentations of magnetic resonance images (MRI). We present a segmentation tool, which performs this task automatically by analyzing the MRIs as well as tissue specific spatial priors. The priors are aligned to the patient through a non-rigid registration method. The segmentation itself is parameterized by an XML file making the approach easily adjustable to various segmentation problems. The tool is hidden beneath a one-button user interface, which is simple to install and is applicable to a wide variety of image acquisition protocols.

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Reference

Pohl KM, Bouix S, Shenton ME, Grimson WEL, Kikinis R. Automatic segmentation using non-rigid registration. In Short communications of MICCAI 2005: Eighth International Conference on Medical Image Computing and Computer Assisted Intervention. Palm Springs, CA, USA, 2005;.

Grants

VA Merit Award, REAP, NIH/NIMH 2R01 MH01110, NIH RO1 MH50747, NIH P41 RR13218, U54 EB005149

Research areas

segmentation, Registration