NDLI: Accurate estimation of pulmonary nodule's growth rate in CT images with nonrigid registration and precise nodule detection and segmentation

Content Provider	IEEE Xplore Digital Library
Author	Yuanjie Zheng Kambhamettu, C. Bauer, T. Steiner, K.
Copyright Year	2009
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Delaware, Newark, DE, USA (Yuanjie Zheng; Kambhamettu, C.) \|\| Dept. of Electr. Eng., Univ. of Delaware, Newark, DE, USA (Steiner, K.) \|\| Helen F. Graham Cancer Center, Christiana Care Health Services, Newark, DE, USA (Bauer, T.)
Abstract	We propose a new tumor growth measure for pulmonary nodules in CT images, which can account for the tumor deformation caused by the inspiration level's difference. It is accomplished with a new nonrigid lung registration process, which can handle the tumor expanding/shrinking problem occurring in many conventional nonrigid registration methods. The accurate nonrigid registration is performed by weighting the matching cost of each voxel, based on the result of a new nodule detection approach and a powerful nodule segmentation algorithm. Comprehensive experiments show the high accuracy of our algorithms and the promising results of our new tumor growth measure.
Starting Page	101
Ending Page	108
File Size	461938
Page Count	8
File Format	PDF
ISBN	9781424439942
ISSN	21607508
DOI	10.1109/CVPRW.2009.5204050
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Image segmentation Costs Computed tomography Electric variables measurement High-resolution imaging Cancer detection Computer aided diagnosis Lesions Lung neoplasms
Content Type	Text
Resource Type	Article

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