Literature DB >> 15933081

Evaluation of image quality of lumbar spine images: a comparison between FFE and VGA.

Anders Tingberg1, Magnus Båth, Markus Håkansson, Joakim Medin, Jack Besjakov, Michael Sandborg, Gudrun Alm-Carlsson, Sören Mattsson, Lars Gunnar Månsson.   

Abstract

PURPOSE: The aim of the present study is to compare two different methods for evaluation of the quality of clinical X-ray images.
METHODS: Based on fifteen lumbar spine radiographs, two new sets of images were created. A hybrid image set was created by adding two distributions of artificial lesions to each original image. The image quality parameters spatial resolution and noise were manipulated and a total of 210 hybrid images were created. A set of 105 disease-free images was created by applying the same combinations of spatial resolution and noise to the original images. The hybrid images were evaluated with the free-response forced error experiment (FFE) and the normal images with visual grading analysis (VGA) by nine experienced radiologists.
RESULTS: In the VGA study, images with low noise were preferred over images with higher noise levels. The alteration of the MTF had a limited influence on the VGA score. For the FFE study, the visibility of the lesions was independent of the sharpness and the noise level. No correlation was found between the two image quality measures.
CONCLUSIONS: FFE is a precise method for evaluation of image quality, but the results are only valid for the type of lesion used in the study, whereas VGA is a more general method for clinical image quality assessment. The results of the FFE study indicate that there might be a potential to lower the dose levels in lumbar spine radiography without losing important diagnostic information.

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Mesh:

Year:  2005        PMID: 15933081     DOI: 10.1093/rpd/nch566

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  4 in total

1.  Quantifying the potential for dose reduction with visual grading regression.

Authors:  O Smedby; M Fredrikson; J De Geer; L Borgen; M Sandborg
Journal:  Br J Radiol       Date:  2012-06-20       Impact factor: 3.039

2.  Quantifying the potential for dose reduction with visual grading regression.

Authors:  O Smedby; M Fredrikson; J De Geer; L Borgen; M Sandborg
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

3.  Comparison of visual grading and free-response ROC analyses for assessment of image-processing algorithms in digital mammography.

Authors:  F Zanca; C Van Ongeval; F Claus; J Jacobs; R Oyen; H Bosmans
Journal:  Br J Radiol       Date:  2012-07-27       Impact factor: 3.039

4.  Visual Evaluation of Image Quality of a Low Dose 2D/3D Slot Scanner Imaging System Compared to Two Conventional Digital Radiography X-ray Imaging Systems.

Authors:  Ahmed Jibril Abdi; Bo Mussmann; Alistair Mackenzie; Oke Gerke; Gitte Maria Jørgensen; Thor Eriksen Bechsgaard; Janni Jensen; Lone Brunshøj Olsen; Poul Erik Andersen
Journal:  Diagnostics (Basel)       Date:  2021-10-19
  4 in total

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