Karen E. Lunn, Ph.D.

Affiliations: 
2004 Dartmouth College, Hanover, NH, United States 
Area:
Biomedical, Optics
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"Karen Lunn"

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Keith D. Paulsen grad student 2004 Dartmouth
 (Data assimilation in brain deformation modeling.)
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Publications

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Lunn KE, Paulsen KD, Liu F, et al. (2006) Data-guided brain deformation modeling: evaluation of a 3-D adjoint inversion method in porcine studies. Ieee Transactions On Bio-Medical Engineering. 53: 1893-900
Liu F, Paulsen KD, Lunn KE, et al. (2006) Comparative study of brain deformation estimation methods Progress in Biomedical Optics and Imaging - Proceedings of Spie. 6141
Sun H, Lunn KE, Farid H, et al. (2005) Stereopsis-guided brain shift compensation. Ieee Transactions On Medical Imaging. 24: 1039-52
Lunn KE, Paulsen KD, Lynch DR, et al. (2005) Assimilating intraoperative data with brain shift modeling using the adjoint equations. Medical Image Analysis. 9: 281-93
Blumenthal T, Hartov A, Lunn K, et al. (2005) Quantifying brain shift during neurosurgery using spatially-tracked ultrasound Progress in Biomedical Optics and Imaging - Proceedings of Spie. 5744: 388-399
Nikas DC, Hartov A, Lunn K, et al. (2003) Coregistered intraoperative ultrasonography in resection of malignant glioma. Neurosurgical Focus. 14: e6
Lunn KE, Paulsen KD, Roberts DW, et al. (2003) Displacement estimation with co-registered ultrasound for image guided neurosurgery: a quantitative in vivo porcine study. Ieee Transactions On Medical Imaging. 22: 1358-68
Rick KR, Hartov A, Roberts DW, et al. (2003) Graphical user interface for intraoperative neuroimage updating Proceedings of Spie - the International Society For Optical Engineering. 5029: 210-221
Lunn KE, Paulsen KD, Roberts DW, et al. (2003) Inverse technique for combined model and sparse data estimates of brain motion Proceedings of Spie - the International Society For Optical Engineering. 5029: 87-97
Lunn KE, Paulsen KD, Roberts DW, et al. (2003) Nonrigid brain registration: Synthesizing full volume deformation fields from model basis solutions constrained by partial volume intraoperative data Computer Vision and Image Understanding. 89: 299-317
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