Computer-assisted method and apparatus for the detection of lung

X-ray or gamma ray systems or devices – Specific application – Absorption

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382128, 382132, G01N 2304

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active

059870940

ABSTRACT:
A computer-assisted diagnostic (CAD) method and apparatus are described for the enhancement, detection, and classification of suspicious regions in digital x-ray images, with particular emphasis on lung nodule detection using chest x-ray images. An objective is to improve the sensitivity and specificity of detection of suspicious areas such as nodules, while maintaining a low false positive detection rate. A modular CAD technique has been developed to be potentially automatic and to be used as a second-opinion method for lung nodule detection. The method consists of using a plurality of CAD modules to preprocess and enhance image features, including image preprocessing, selective enhancement, segmentation, and feature extraction using a multiresolution/multiorientation wavelet transform and a computationally efficient filter, a 1.5 D circular pattern filter.

REFERENCES:
patent: 5365429 (1994-11-01), Carman
patent: 5598481 (1997-01-01), Nishikawa et al.
patent: 5668888 (1997-09-01), Doi et al.
Fei Mao, Wei Qian and Laurence P. Clarke, Fractional Dimension Filtering for Multiscale Lung Nodule Detection, SPIE vol. 3034, Feb. 1997, pp. 449-454.
Fei Mao, Wei Qian and Laurence P. Clarke, 1.5 Dimensional Circular Pattern Filter for Multiscale Lung Nodule Detection, EMBS96: Final Program & Abstract Book, Nov. 1996.

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