Literature DB >> 12105736

Computer technique for digital radiographic images correction based on the digitizer characteristic curve.

Maurício Cunha Escarpinati1, Marcelo Andra de Costa Vieira, Homero Schiabel.   

Abstract

This article presents a computer correction technique for radiographic digital images based on digitization process inaccuracy in pixel gray levels relative to the respective image optical densities. The technique consists of determining the digitizer characteristic curve by digitizing a step-wedge radiographic image with known optical densities. Calibration is done by determining the mathematical function that automatically adjusts the pixel gray levels to the expected values according to the manufacturer. Two laser film digitizers were investigated for which discrepancies between measured and expected pixel values were reported. For these cases, the proposed algorithm automatically adjusted the pixel gray levels of the digitized images. Using this method, the digital images show more accurate values of gray levels compared to the original radiographic image. In addition, it allows the development of uniform images databases.

Mesh:

Year:  2002        PMID: 12105736     DOI: 10.1007/s10278-002-5082-1

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


  2 in total

1.  Evaluating noise in digitized radiographic images by means of histogram.

Authors:  Izabel Regina Fischer Rubira-Bullen; Maurício Cunha Escarpinati; Homero Schiabel; Marcelo Andrade da Costa Vieira; Cássia Maria Fischer Rubira; José Roberto Pereira Lauris
Journal:  J Appl Oral Sci       Date:  2006-12       Impact factor: 2.698

2.  Digitizing radiographic films: a simple way to evaluate indirect digital images.

Authors:  Izabel Regina Fischer Rubia-Bullen; Maurício Cunha Escarpinati; Homero Schiabel; Marcelo Andrade da Costa Vieira; Cássia Maria Fischer Rubira; José Roberto Pereira Lauris
Journal:  J Appl Oral Sci       Date:  2007-02       Impact factor: 2.698

  2 in total

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