Literature DB >> 22844032

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

F Zanca1, C Van Ongeval, F Claus, J Jacobs, R Oyen, H Bosmans.   

Abstract

OBJECTIVE: To compare two methods for assessment of image-processing algorithms in digital mammography: free-response receiver operating characteristic (FROC) for the specific task of microcalcification detection and visual grading analysis (VGA).
METHODS: The FROC study was conducted prior to the VGA study reported here. 200 raw data files of low breast density (Breast Imaging-Reporting and Data System I-II) mammograms (Novation DR, Siemens, Germany)-100 of which abnormal-were processed by four image-processing algorithms: Raffaello (IMS, Bologna, Italy), Sigmoid (Sectra, Linköping, Sweden), and OpView v. 2 and v. 1 (Siemens, Erlangen, Germany). Four radiologists assessed the mammograms for the detection of microcalcifications. 8 months after the FROC study, a subset (200) of the 800 images was reinterpreted by the same radiologists, using the VGA methodology in a side-by-side approach. The VGA grading was based on noise, saturation, contrast, sharpness and confidence with the image in terms of normal structures. Ordinal logistic regression was applied; OpView v. 1 was the reference processing algorithm.
RESULTS: In the FROC study all algorithms performed better than OpView v. 1. From the current VGA study and for confidence with the image, Sigmoid and Raffaello were significantly worse (p<0.001) than OpView v. 1; OpView v. 2 was significantly better (p=0.01). For the image quality criteria, results were mixed; Raffaello and Sigmoid for example were better than OpView v. 1 for sharpness and contrast (although not always significantly).
CONCLUSION: VGA and FROC discordant results should be attributed to the different clinical task addressed. ADVANCES IN KNOWLEDGE: The method to use for image-processing assessment depends on the clinical task tested.

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Mesh:

Year:  2012        PMID: 22844032      PMCID: PMC3611729          DOI: 10.1259/bjr/22608279

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  30 in total

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9.  [Diagnostic value of clustered microcalcifications discovered by mammography (apropos of 227 cases with histological verification and without a palpable breast tumor)].

Authors:  M Le Gal; G Chavanne; D Pellier
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3.  Influence of study design on digital pathology image quality evaluation: the need to define a clinical task.

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