Combined segmentation and registration framework for...

Details Combined segmentation and registration framework for... Combined segmentation and registration framework for...

2009-04-28

2011-11-22

Punnoose, Roy M (Department: 2886)

Image analysis

Applications

Biomedical applications

Reexamination Certificate

active

08064673

ABSTRACT:
Progress monitoring of lesions is done automatically by segmentation and registration of lesions in multi-phase medical images. A parametric level-set framework includes a model optimization for any number of lesions. The user specifies lesions in a baseline volume by clicking inside of them. The apparatus segments the lesions automatically in the baseline and follow-up volumes. The segmentation optimization compensates for lesion motion between baseline and follow-up volumes. 2D and 3D medical patient data can be processed by the methods.

REFERENCES:
patent: 2009/0220137 (2009-09-01), Chefd'hotel et al.
K. Okada, X. Huang, X. Zhou, A. Krishnan, “Robust Click-Point Linking for Longitudinal Follow-Up Studies”, in Proc. of 3rdInt. Workshop of Med. Imag. and Augm. Reality, Shanghai, LNCS 4091, 2006, pp. 252-260.
Y. Rathi, O. Michailovich, J. Malcolm, and A. Tannenbaum, “Seeing the Unseen: Segmenting With Distributions”, Proceedings Signal and Image Processing, 2006, Conference on Signal and Image Processing, Honolulu, Hawaii, USA.

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