Literature DB >> 8334178

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

M F McNitt-Gray1, R K Taira, S L Johnson, M Razavi.   

Abstract

Digital chest radiographs are often too bright and/or lack contrast when viewed on a video display. This often occurs in radiographs taken of patients with dense lungs, or when incorrect x-ray exposure techniques or inappropriate image preprocessing operations are performed (eg, by the computed radiography system or laser scanner). This article describes a method to automatically provide brightness and contrast adjustments to selectively enhance either soft or dense tissues. This method reduces viewer interaction and improves displayed image quality. The algorithm analyzes the gray-level histogram of a chest radiograph and determines the breakpoints that separate the region outside the patient (background), the radiographically soft tissues, and the radiographically dense tissues. From these breakpoints, a series of piecewise linear look-up tables (LUTs) is generated to selectively enhance either the soft tissues or the dense tissues. This is performed by: (1) varying the contrast in the patient background to achieve the desired overall brightness, (2) selectively increasing the contrast of the tissue region of interest, and (3) reducing or maintaining the contrast of the remaining region. The resulting LUTs are applied to the original image via video display.

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Mesh:

Year:  1993        PMID: 8334178     DOI: 10.1007/bf03168436

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  10 in total

Review 1.  Radiologic image communication methods.

Authors:  H K Huang; S L Lou; P S Cho; D J Valentino; A W Wong; K K Chan; B K Stewart
Journal:  AJR Am J Roentgenol       Date:  1990-07       Impact factor: 3.959

2.  Image preprocessing for a picture archiving and communication system.

Authors:  M F McNitt-Gray; E Pietka; H K Huang
Journal:  Invest Radiol       Date:  1992-07       Impact factor: 6.016

3.  Regionally adaptive histogram equalization of the chest.

Authors:  R H Sherrier; G A Johnson
Journal:  IEEE Trans Med Imaging       Date:  1987       Impact factor: 10.048

4.  Automatic anatomically selective image enhancement in digital chest radiography.

Authors:  M I Sezn; A M Teklap; R Schaetzing
Journal:  IEEE Trans Med Imaging       Date:  1989       Impact factor: 10.048

5.  Design and testing of artifact-suppressed adaptive histogram equalization: a contrast-enhancement technique for display of digital chest radiographs.

Authors:  K Rehm; G W Seeley; W J Dallas; T W Ovitt; J F Seeger
Journal:  J Thorac Imaging       Date:  1990-01       Impact factor: 3.000

6.  Two-year clinical experience with a computed radiography system.

Authors:  H Kangarloo; M I Boechat; Z Barbaric; R K Taira; P S Cho; N J Mankovich; B K Ho; S L Eldredge; H K Huang
Journal:  AJR Am J Roentgenol       Date:  1988-09       Impact factor: 3.959

7.  Design and implementation of a picture archiving and communication system for pediatric radiology.

Authors:  R K Taira; N J Mankovich; M I Boechat; H Kangarloo; H K Huang
Journal:  AJR Am J Roentgenol       Date:  1988-05       Impact factor: 3.959

8.  Histogram-directed processing of digital chest images.

Authors:  H P McAdams; G A Johnson; S A Suddarth; C E Ravin
Journal:  Invest Radiol       Date:  1986-03       Impact factor: 6.016

9.  Adaptive grey level assignment in CT scan display.

Authors:  S M Pizer; J B Zimmerman; E V Staab
Journal:  J Comput Assist Tomogr       Date:  1984-04       Impact factor: 1.826

10.  Processing alternatives for digital chest imaging.

Authors:  G A Johnson; N Danieley; C E Ravin
Journal:  Radiol Clin North Am       Date:  1985-06       Impact factor: 2.303

  10 in total

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