@inproceedings{11e1fa7df9b24199955de8a23c324c6c,
title = "A novel hybrid model for deformable image registration in abdominal procedures",
abstract = "We propose a novel neuro-fuzzy hybrid transformation model for deformable image registration in intra-operative image guided procedures involving large soft tissue deformation. The hybrid model consists of two parts: a physics-based model and a mathematical approximation model. The physics-based model is based on elastic solid mechanics to model major deformation patterns of the central part of organs, and the mathematical approximation model depicts the deformation of the residual part along organ boundary. A neuro-fuzzy technique is employed to seamlessly integrate the two parts into a unified hybrid model. Its unique feature is to incorporate domain knowledge of soft tissue deformation patterns and significantly reduce the number of transformation parameters. We demonstrate the effectiveness of our hybrid model to register liver magnetic resonance (MR) images in human subject study. This technique has the potential to significantly improve intra-operative image guidance in abdominal and thoracic procedures.",
keywords = "B-spline, Deformable transformation, Hybrid model, Image guidance, Image registration, Neuro-fuzzy, Physics-based model",
author = "Xishi Huang and Babyn, \{Paul S.\} and Thomas Looi and Kim, \{Peter C.W.\}",
year = "2011",
doi = "10.1117/12.878068",
language = "English",
isbn = "9780819485069",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2011",
note = "Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling ; Conference date: 13-02-2011 Through 15-02-2011",
}