Methods of smoothing segmented regions and related devices

Details Methods of smoothing segmented regions and related devices Methods of smoothing segmented regions and related devices

2006-02-14

2011-12-06

Desire, Gregory M (Department: 2624)

Image analysis

Applications

Biomedical applications

C382S154000, C382S260000

Reexamination Certificate

active

08073210

ABSTRACT:
Automated methods for segmenting and smoothing volumes of interest, such as the mediastinal boundary of a lung. Devices and systems configured to perform the automated methods.

REFERENCES:
patent: 6246784 (2001-06-01), Summers et al.
patent: 6282307 (2001-08-01), Armato et al.
patent: 6724925 (2004-04-01), Armato et al.
patent: 6766043 (2004-07-01), Zeng et al.
patent: 6813375 (2004-11-01), Armato, III et al.
patent: 7315639 (2008-01-01), Kuhnigk
patent: 7483023 (2009-01-01), Cardenas et al.
patent: 7548649 (2009-06-01), Cardenas et al.
patent: 2002/0114503 (2002-08-01), Klotz et al.
patent: 2003/0022367 (2003-01-01), Xu
patent: 2003/0095696 (2003-05-01), Reeves et al.
patent: 2003/0099384 (2003-05-01), Zeng et al.
patent: 2003/0099389 (2003-05-01), Zeng et al.
patent: 2003/0099390 (2003-05-01), Zeng et al.
patent: 2003/0223627 (2003-12-01), Yoshida et al.
patent: 2005/0207630 (2005-09-01), Chan et al.
patent: 2006/0030958 (2006-02-01), Tschirren et al.
patent: 2009/0252395 (2009-10-01), Chan et al.
Pal'agyi et al, Quantitative Analysis of Intrathoracic Airway Trees: Methods and Validation, IPMI 2003, LNCS 2732, pp. 222-233, 2003, Springer-Verlag Berlin Heidelberg 2003.
Brown et al, Method for Segmenting Chest CT Image Data Using an Anatomical Model: Preliminary Results, IEEE Transactions on Medical Imaging, Vol. 16, No. 6, December 1997.
Fetita et al , 3D Automated Lung Nodule Segmentation in HRCT, MICCAI 2003, LNCS 2878, pp. 626-634, Springer-Verlag Berlin Heidelberg 2003.
U.S. Appl. No. 60/568,184, filed May 5, 2004, Tschirren et al.
Armato et al., “Computerized detection of pulmonary nodules on CT scans,”Radiographics, 19(5): 1301-1311, 1999.
Bland and Altman, “Statistical methods for assessing agreement between two methods of clinical measurement,”Lancet, 1(8476): 307-310, 1986.
Brown et al., “Method for segmenting chest CT image data using an anatomic model: Preliminary results,”IEEE Trans. Medical Imaging, 16: 828-839, 1997.
Chalana and Kim, “A methodology for evaluation of boundary detection algorithms on medical images,”IEEE Trans. Medical Imaging,;16(5): 642-652, 1997.
da Fontoura Costa and Cesar Jr., “Table of Contents,” In: Shape Analysis and Classification: Theory and Practice,CRC Press, Boca Raton, Florida, 2001.
Dawant et al., “Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformation: Part I, methodology and validation on normal subjects,”IEEE Trans. Medical Imaging18(10):909-916, 1999.
Dogdas et al., “Segmentation of skull in 3D human MR images using mathematical morphology,”Proc. SPIE Medical Imaging 2002: Image Processing, 4684:1553-1562, 2002.
Höhne and Hanson, “Interactive 3D segmentation of mri and ct volumes using morphological operations,”Computer Assisted Tomography, 16:258-294, 1992.
Hu et al., “Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images,”IEEE Trans. Medical Imaging, 20(6): 490-498, 2001.
Hunter, “Gray-scale morphology,” Nov. 29, 2002.
Kuhnigk et al., “Lung lobe segmentation by anatomy-guided 3D watershed transform,”Medical Imaging2003, 4, 2003.
Li et al., “Improved method for automatic detection of lung regions in chest radiographs,”Acad. Radiology, 8: 629-638, 2001.
Lohmann and von Cramon, “Austomatic labelling of the human cortical surface using sulcal basins,”Proc.of SPIE, 5032:1482-1490, 2003.
Lürig and Ertl, “Hierarchical volume analysis and visualization based on morphological operators,”IEEE Visualization Archive, Proceedings of the Conference on Visualization '98, pp. 335-341, 1998.
Megalooikonomou et al., “Fast and effective characterization of 3D region data,”Proceedings of the International Conference on Image Processing, 1:I-424, 2002.
Palágyi et al., “Quantitative analysis of intrathoracic airway trees: methods and validation, in Proc. 18th Int. Conf. Information Processing in Medical Imaging,”IPMI2003, Ambleside, UK, Lecture Notes in Computer Science, 2732(7): 222-233, 2003.
Ruetter et al., “Nonlinear edge preserving smoothing and segmentation of 4-D medical images via scale-space fingerprint analysis,”IPMI 2001: 17thInternational Conference, pp. 431-437.
Salfity et al., “A computer-aided diagnosis method for automated detection and classification of clustered microcalcifications in mammograms,” Proceedings of the Argentine Symposium on Healthcare Informatics, Tandil, pp. 41-47, 2000.
Silva et al., “Segmentation and reconstruction of the pulmonary parenchyma,” Technical Report, Vision and Graphics Laboratory, Institute of Pure and Applied Mathematics, Rio de Janeiro, 2002.
Tschirren et al., “Airway tree segmentation using adaptive regions of interest,” Medical Imaging 2004: Physiology, Function, and Structure from Medical Images, Proceedings of the SPIE, vol. 5369, pp. 117-124 (2004).
Tschirren, “Segmentation, anatomical labeling, branchpoint matching, and quantitative analysis of human airway trees in volumetric CT images,” Ph.D. Thesis, University of Iowa, Aug. 2003.
Tschirren, “Segmentation, branchpoint matching and anatomical labeling of human airway trees in volumetric CT images,” slides presented at Ph.D. defense, which occurred on Jul. 10, 2003.
Ukil and Reinhardt, “Smoothing Lung Segmentation Surfaces in 3-D X-ray CT images using Anatomic Guidance,” SPIEConf. Medical Imaging, 5370: 1066-1075, 2004.
Yang and Hansell, “CT image enhancement with wavelet analysis for the detection of small airways disease,”IEEE Transaction on Medical Imaging, 16:953-961, 1997.

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