Image deconvolution as an aid to feature identification: a clinical trial

Andrew Shearer

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

Abstract

The focus of this paper is to evaluate the clinical performance of the image processing technique which we have developed for computed radiography x-rays. This algorithm, which was presented at the SPIE 99 medical imaging conference, uses iterative deconvolution with a measured point spread function to reduce the effect of scatter. Wavelet denoising is also carried out after each iteration to remove effects due to noise. A random selection of chest x-rays were processed using the algorithm. Both the raw and processed images were presented to the radiologists in a random order. They scored the images with regard to the visibility of anatomical detail and image quality as outlined in the european guidelines on quality criteria for diagnostic radiographic images. The most notable result of the technique is seen in the reduction of noise in the processed image.
Original languageEnglish (Ireland)
Title of host publicationMEDICAL IMAGING 2000: IMAGE PROCESSING, PTS 1 AND 2
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Number of pages6
Volume3979
ISBN (Electronic)0277-786X
ISBN (Print)0277-786X
Publication statusPublished - 1 Jan 2000

Authors (Note for portal: view the doc link for the full list of authors)

  • Authors
  • O'Doherty, T,Shearer, A,van der Putten, W,Abbott, P,Hanson, KM
  • O'Doherty, T;Shearer, A;van der Putten, W;Abbott, P

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