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Title: Edge preserving smoothing and segmentation of 4-D images via transversely isotropic scale-space processing and fingerprint analysis

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 themore » 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.« less

Authors:
; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Director. Office of Science. Office of Biological and Environmental Research. Medical Sciences Division; U.S. Department of Health and Human Services. National Heart Lung and Blood Institute Grant R01-HL50663 (US)
OSTI Identifier:
836236
Report Number(s):
LBNL-53558
R&D Project: 864K2B; TRN: US0500524
DOE Contract Number:  
AC03-76SF00098
Resource Type:
Conference
Resource Relation:
Conference: SPIE Medical Imaging 2004: Image Processing, San Diego, CA (US), 02/16/2004--02/19/2004; Other Information: PBD: 19 Jan 2004
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; ACCURACY; ALGORITHMS; ATTENUATION; DETECTION; IMAGE PROCESSING; INTERPOLATION; KINETICS; LUNGS; POSITRONS; PROCESSING; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY; TOMOGRAPHY; MULTISCALE 4-D IMAGE PROCESSING FEATURE EXTRACTION SEGMENTATION

Citation Formats

Reutter, Bryan W., Algazi, V. Ralph, Gullberg, Grant T, and Huesman, Ronald H. Edge preserving smoothing and segmentation of 4-D images via transversely isotropic scale-space processing and fingerprint analysis. United States: N. p., 2004. Web.
Reutter, Bryan W., Algazi, V. Ralph, Gullberg, Grant T, & Huesman, Ronald H. Edge preserving smoothing and segmentation of 4-D images via transversely isotropic scale-space processing and fingerprint analysis. United States.
Reutter, Bryan W., Algazi, V. Ralph, Gullberg, Grant T, and Huesman, Ronald H. Mon . "Edge preserving smoothing and segmentation of 4-D images via transversely isotropic scale-space processing and fingerprint analysis". United States. https://www.osti.gov/servlets/purl/836236.
@article{osti_836236,
title = {Edge preserving smoothing and segmentation of 4-D images via transversely isotropic scale-space processing and fingerprint analysis},
author = {Reutter, Bryan W. and Algazi, V. Ralph and Gullberg, Grant T and Huesman, Ronald H.},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 19 00:00:00 EST 2004},
month = {Mon Jan 19 00:00:00 EST 2004}
}

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