Method for automated analysis of digital chest radiographs

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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C382S173000, C382S203000

Reexamination Certificate

active

10315884

ABSTRACT:
A method for automatically segmenting lung regions in a chest radiographic image comprising; providing an input digital chest radiograph image; preprocessing the input digital radiographic image; extracting the chest body midline and lung centerlines from the preprocessed image. Locating one-by-one, the chest body model, the spine model and the two lung models in the image based on the extracted chest body midline and two lung centerlines; and detecting the lung contours by deforming the lung shape models to converge to the true lung boundaries as a function of the extracting and locating image processing.

REFERENCES:
patent: 6594378 (2003-07-01), Li et al.
patent: 2003/0053674 (2003-03-01), Armato et al.
patent: 2003/0086599 (2003-05-01), Armato et al.
patent: 2003/0095692 (2003-05-01), Mundy et al.
patent: 2005/0033139 (2005-02-01), Li et al.
Luo et al. “Automatic Segmentation of Lung Regions in Chest Radiographs: A Model Guided Approach” Proc. International Conf. on Image Processing, 2000, pp. 483-486.
Gaborksi et al. “Robust Snake Model”, IEEE Conf. on Computer Vision and Pattern Recognition Jun. 2000.
McNitt-Gray et al., Feature Selection Classification Problem of Digital Chest Radiograph Segmentation, IEEE Trans. Med. Imaging, 1995, vol. 14, pp. 537-547.
Tsuji et al., Automated Segmentation of Anatomical Region in Chest Radiographs Using An Adaptive-Sezed Hybrid Neural Network, Med. Phys., 25.(6), Jun. 1998, pp. 998-1007.
Hassegawa et al., A Shift-Invariant Neural Network for the Lung Field Segmentation in Chest Radiography, Journal of VLSI Signal Processing, No. 18, 1998, pp. 241-250.
Vittitoe et al., Identification of Lung Regions in Chest Radiographs Using Markov Random Field Modeling, Med. Phys. 25, (6), 1998, pp. 976-985.
Armato et al., Automated Registration of Ventilation/Perfusion Images With Digital Chest Radiographs, Acad. Radiology, 1997, 4, 183-192.
Duryea et al., A Fully Automated Algorithm For The Segmentation of Lung Fields In Digital Chest Radiographic Images, Med. Phys., 1995, 22, 99, 183-191.
Pietka, Lung Segmentation in Digital Radiographs, Journal of Digital Imaging, vol. 7, No. 2, 1994, pp. 79-84.
Xu et al., Image Feature Analysis for Computer-Aid Diagnosis: Detection of Right and Left Hemi Diaphram Edges and Delineation of Lung Field in Chest Radiographs, Med. Phys., 23 (9), Sep. 1996, pp. 1613-1624.
Carrascal et al., Automatic Calculation of Total Lung Capacity From Automatically Traced Boundaries in Postero-Anterior and Lateral Digital Chest Radiographs, Med. Phys., 25 (7), Jul. 1998, pp. 1118-1131.
Brown et al., knowledge-Based Method for Segmenation and Analysis of Lung Boundaries in Chest X-Ray Images, Computerized Medical Imaging and Graphics, 1998, 22, pp. 463-477.
Ginneken et al., Computer-Aided Diagnosis in Chest Radiography PhD thesis, Urecht University, Mar. 2001.

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