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Edge Preserving Smoothing and Sementation of 4-D Images via Transversely Isotropic Scale-Space Processing and Fingerprint Analysis.

DE2005836236

Publication Date	2004
Personal Author	Reutter, B. W.; Algazi, V. R.; Gullberg, G. R.; Huesman, R. H.
Page Count	14
Abstract	Enhancements are described for an approach that unifies edge preserving smoothing with segmentation of time sequences of volumetric images, based on differential edge detection at multiple spatial and temporal scales. Potential applications of these 4-D methods include segmentation of respiratory gated positron emission tomography (PET) transmission images to improve accuracy of attenuation correction for imaging heart and lung lesions, and segmentation of dynamic cardiac single photon emission computed tomography (SPECT) images to facilitate unbiased estimation of time-activity curves and kinetic parameters for left ventricular volumes of interest. Improved segmentation of lung surfaces in simulated respiratory gated cardiac PET transmission images is achieved with a 4-D edge detection operator composed of edge preserving 1-D operators applied in various spatial and temporal directions. Smoothing along the axis of a 1-D operator is driven by structure separation seen in the scale-space fingerprint, rather than by image contrast. Spurious noise structures are reduced with use of small-scale isotropic smoothing in directions transverse to the 1-D operator axis. Analytic expressions are obtained for directional derivatives of the smoothed, edge preserved image, and the expressions are used to compose a 4-D operator that detects edges as zero-crossings in the second derivative in the direction of the image intensity gradient. Additional improvement in segmentation is anticipated with use of multiscale transversely isotropic smoothing and a novel interpolation method that improves the behavior of the directional derivatives. The interpolation method is demonstrated on a simulated 1-D edge and incorporation of the method into the 4-D algorithm is described.
Keywords	Fingerprints Image processing Algorithms Detection Accuracy Tomography Multiscale 4-D image processing Edge preserving smoothing
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Berkeley National Lab., CA.; California Univ., Davis. Signal and Image Processing Lab.; Department of Energy, Washington, DC.
Supplemental Notes	Prepared in cooperation with California Univ., Davis. Signal and Image Processing Lab. Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200521

Edge Preserving Smoothing and Sementation of 4-D Images via Transversely Isotropic Scale-Space Processing and Fingerprint Analysis.

Edge Preserving Smoothing and Sementation of 4-D Images via Transversely Isotropic Scale-Space Processing and Fingerprint Analysis.
DE2005836236

Publication Date	2004
Personal Author	Reutter, B. W.; Algazi, V. R.; Gullberg, G. R.; Huesman, R. H.
Page Count	14
Abstract	Enhancements are described for an approach that unifies edge preserving smoothing with segmentation of time sequences of volumetric images, based on differential edge detection at multiple spatial and temporal scales. Potential applications of these 4-D methods include segmentation of respiratory gated positron emission tomography (PET) transmission images to improve accuracy of attenuation correction for imaging heart and lung lesions, and segmentation of dynamic cardiac single photon emission computed tomography (SPECT) images to facilitate unbiased estimation of time-activity curves and kinetic parameters for left ventricular volumes of interest. Improved segmentation of lung surfaces in simulated respiratory gated cardiac PET transmission images is achieved with a 4-D edge detection operator composed of edge preserving 1-D operators applied in various spatial and temporal directions. Smoothing along the axis of a 1-D operator is driven by structure separation seen in the scale-space fingerprint, rather than by image contrast. Spurious noise structures are reduced with use of small-scale isotropic smoothing in directions transverse to the 1-D operator axis. Analytic expressions are obtained for directional derivatives of the smoothed, edge preserved image, and the expressions are used to compose a 4-D operator that detects edges as zero-crossings in the second derivative in the direction of the image intensity gradient. Additional improvement in segmentation is anticipated with use of multiscale transversely isotropic smoothing and a novel interpolation method that improves the behavior of the directional derivatives. The interpolation method is demonstrated on a simulated 1-D edge and incorporation of the method into the 4-D algorithm is described.
Keywords	Fingerprints Image processing Algorithms Detection Accuracy Tomography Multiscale 4-D image processing Edge preserving smoothing
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Berkeley National Lab., CA.; California Univ., Davis. Signal and Image Processing Lab.; Department of Energy, Washington, DC.
Supplemental Notes	Prepared in cooperation with California Univ., Davis. Signal and Image Processing Lab. Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200521