Literature DB >> 6718485

The information spectrum as a measure of radiographic image quality and system performance.

H Kanamori, M Matsumoto.   

Abstract

The spectrum (spatial-frequency component) of the information capacity of a radiograph, which we call the information spectrum, is offered as a measure of image quality and system performance. The information spectrum is a much more practical expression than information capacity by itself: it combines synthetically the contrast, the latitude, the sharpness and the granularity, and is expressed as a function of spatial frequency. The information spectrum can be readily calculated by using the dynamic density range and the MTF and noise Wiener spectrum at medium density range. A practical example is given. The appropriate system for each object can be selected by comparing the information spectral values of various imaging systems at the significant spatial frequency range predetermined for each object.

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Year:  1984        PMID: 6718485     DOI: 10.1088/0031-9155/29/4/001

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  Integrated model for estimating phosphor signal and noise transfer characteristics on medical images: application to CdPO3Cl:Mn phosphor screens.

Authors:  D Cavouras; I Kandarakis; G S Panayiotakis; C D Nomicos
Journal:  Med Biol Eng Comput       Date:  2002-05       Impact factor: 2.602

2.  A method for determining the information capacity of x-ray imaging scintillator detectors by means of luminescence and modulation transfer function measurements.

Authors:  I Kandarakis; D Cavouras; E Kanellopoulos; C D Nomicos; G S Panayiotakis
Journal:  Med Biol Eng Comput       Date:  1999-01       Impact factor: 2.602

3.  Contrast, noise, and blur affect performance and appreciation of digital radiographs.

Authors:  I M van Overveld
Journal:  J Digit Imaging       Date:  1995-11       Impact factor: 4.056

4.  Figure of image quality and information capacity in digital mammography.

Authors:  Christos M Michail; Nektarios E Kalyvas; Ioannis G Valais; Ioannis P Fudos; George P Fountos; Nikos Dimitropoulos; Grigorios Koulouras; Dionisis Kandris; Maria Samarakou; Ioannis S Kandarakis
Journal:  Biomed Res Int       Date:  2014-05-08       Impact factor: 3.411

  4 in total

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