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Title: Automated method and system for the alignment and correlation of images from two different modalities

Abstract

A method and system for the computerized registration of radionuclide images with radiographic images, including generating image data from radiographic and radionuclide images of the thorax. Techniques include contouring the lung regions in each type of chest image, scaling and registration of the contours based on location of lung apices, and superimposition after appropriate shifting of the images. Specific applications are given for the automated registration of radionuclide lungs scans with chest radiographs. The method in the example given yields a system that spatially registers and correlates digitized chest radiographs with V/Q scans in order to correlate V/Q functional information with the greater structural detail of chest radiographs. Final output could be the computer-determined contours from each type of image superimposed on any of the original images, or superimposition of the radionuclide image data, which contains high activity, onto the radiographic chest image.

Inventors:
 [1];  [2];  [3];  [4]
  1. Elmhurst, IL
  2. Lisle, IL
  3. Chicago, IL
  4. Willowbrook, IL
Issue Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL
OSTI Identifier:
872619
Patent Number(s):
5974165
Application Number:
08/523,210
Assignee:
Arch Development Corporation (Chicago, IL)
DOE Contract Number:  
FG02-86ER60438; FG02-86ER60418
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
automated; method; alignment; correlation; images; modalities; computerized; registration; radionuclide; radiographic; including; generating; image; data; thorax; techniques; contouring; lung; regions; type; chest; scaling; contours; based; location; apices; superimposition; appropriate; shifting; specific; applications; lungs; scans; radiographs; example; yields; spatially; registers; correlates; digitized; correlate; functional; information; structural; detail; final; output; computer-determined; superimposed; original; contains; activity; automated method; image data; specific application; specific applications; radiographic images; final output; including generating; /382/

Citation Formats

Giger, Maryellen L, Chen, Chin-Tu, Armato, Samuel, and Doi, Kunio. Automated method and system for the alignment and correlation of images from two different modalities. United States: N. p., 1999. Web.
Giger, Maryellen L, Chen, Chin-Tu, Armato, Samuel, & Doi, Kunio. Automated method and system for the alignment and correlation of images from two different modalities. United States.
Giger, Maryellen L, Chen, Chin-Tu, Armato, Samuel, and Doi, Kunio. Tue . "Automated method and system for the alignment and correlation of images from two different modalities". United States. https://www.osti.gov/servlets/purl/872619.
@article{osti_872619,
title = {Automated method and system for the alignment and correlation of images from two different modalities},
author = {Giger, Maryellen L and Chen, Chin-Tu and Armato, Samuel and Doi, Kunio},
abstractNote = {A method and system for the computerized registration of radionuclide images with radiographic images, including generating image data from radiographic and radionuclide images of the thorax. Techniques include contouring the lung regions in each type of chest image, scaling and registration of the contours based on location of lung apices, and superimposition after appropriate shifting of the images. Specific applications are given for the automated registration of radionuclide lungs scans with chest radiographs. The method in the example given yields a system that spatially registers and correlates digitized chest radiographs with V/Q scans in order to correlate V/Q functional information with the greater structural detail of chest radiographs. Final output could be the computer-determined contours from each type of image superimposed on any of the original images, or superimposition of the radionuclide image data, which contains high activity, onto the radiographic chest image.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1999},
month = {10}
}

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