Literature DB >> 6707283

Adaptive grey level assignment in CT scan display.

S M Pizer, J B Zimmerman, E V Staab.   

Abstract

The normal method of assigning grey levels to computed tomographic (CT) numbers in CT scan display involves interactive selection of an intensity window. This method often results in the inability to visualize different types of tissue in a single image and sometimes results in unnecessary loss of contrast sensitivity. A method is described that solves these problems by automatically adapting the assignment of displayable grey levels to CT numbers in a way that varies smoothly across the image according to local needs for the presentation of contrast. The adaptation is based on local histogram equalization implemented using interpolation so as to operate on a minicomputer in a few tens of seconds. This contrast enhancement is followed by a mapping that causes the viewer's perceptual response to be linear across the display scale.

Mesh:

Year:  1984        PMID: 6707283

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  13 in total

1.  An improved protocol for optical projection tomography imaging reveals lobular heterogeneities in pancreatic islet and β-cell mass distribution.

Authors:  Andreas Hörnblad; Abbas Cheddad; Ulf Ahlgren
Journal:  Islets       Date:  2011-07-01       Impact factor: 2.694

Review 2.  Literature review: picture archiving and communication system.

Authors:  U P Schmiedl; A H Rowberg
Journal:  J Digit Imaging       Date:  1990-11       Impact factor: 4.056

3.  Digital contrast enhancement for online portal imaging.

Authors:  K W Leszczynski; S Shalev
Journal:  Med Biol Eng Comput       Date:  1989-09       Impact factor: 2.602

4.  The digital imaging workstation. 1990.

Authors:  Ronald L Arenson; Dev P Chakraborty; Sridhar B Seshadri; Harold L Kundel
Journal:  J Digit Imaging       Date:  2003-03       Impact factor: 4.056

5.  Practical Methods for Bounding Type I Error Rate with an Internal Pilot Design.

Authors:  Christopher S Coffey; John A Kairalla; Keith E Muller
Journal:  Commun Stat Theory Methods       Date:  2007       Impact factor: 0.893

6.  Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms.

Authors:  E D Pisano; S Zong; B M Hemminger; M DeLuca; R E Johnston; K Muller; M P Braeuning; S M Pizer
Journal:  J Digit Imaging       Date:  1998-11       Impact factor: 4.056

7.  The effect of intensity windowing on the detection of simulated masses embedded in dense portions of digitized mammograms in a laboratory setting.

Authors:  E D Pisano; J Chandramouli; B M Hemminger; D Glueck; R E Johnston; K Muller; M P Braeuning; D Puff; W Garrett; S Pizer
Journal:  J Digit Imaging       Date:  1997-11       Impact factor: 4.056

8.  Clinical Applications of a CT Window Blending Algorithm: RADIO (Relative Attenuation-Dependent Image Overlay).

Authors:  Jacob C Mandell; Bharti Khurana; Les R Folio; Hyewon Hyun; Stacy E Smith; Ruth M Dunne; Katherine P Andriole
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

9.  A psychophysical comparison of two methods for adaptive histogram equalization.

Authors:  J B Zimmerman; S B Cousins; K M Hartzell; M E Frisse; M G Kahn
Journal:  J Digit Imaging       Date:  1989-05       Impact factor: 4.056

10.  An automatic method for enhancing the display of different tissue densities in digital chest radiographs.

Authors:  M F McNitt-Gray; R K Taira; S L Johnson; M Razavi
Journal:  J Digit Imaging       Date:  1993-05       Impact factor: 4.056

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