title: Objective assessment of image quality in conventional and digital mammography taking into account dynamic range.
abstract: The goal of this work is to develop a method to objectively compare the performance of a digital and a screen-film mammography system in terms of image quality. The method takes into account the dynamic range of the image detector, the detection of high and low contrast structures, the visualisation of the images and the observer response. A test object, designed to represent a compressed breast, was constructed from various tissue equivalent materials ranging from purely adipose to purely glandular composition. Different areas within the test object permitted the evaluation of low and high contrast detection, spatial resolution and image noise. All the images (digital and conventional) were captured using a CCD camera to include the visualisation process in the image quality assessment. A mathematical model observer (non-prewhitening matched filter), that calculates the detectability of high and low contrast structures using spatial resolution, noise and contrast, was used to compare the two technologies. Our results show that for a given patient dose, the detection of high and low contrast structures is significantly better for the digital system than for the conventional screen-film system studied. The method of using a test object with a large tissue composition range combined with a camera to compare conventional and digital imaging modalities can be applied to other radiological imaging techniques. In particular it could be used to optimise the process of radiographic reading of soft copy images.
authors.affiliation: University Institute for Applied Radiophysics, Grand-Pré 1, CH-1007 Lausanne, Switzerland.
authors.forename: Marc
authors.initials: M
authors.lastname: Pachoud
authors.forename: Domenico
authors.initials: D
authors.lastname: Lepori
authors.forename: Jean-François
authors.initials: JF
authors.lastname: Valley
authors.forename: Francis R
authors.initials: FR
authors.lastname: Verdun
mesh_terms: D001940:Breast / Q000473:pathology; D001941:Breast Diseases / Q000000981:diagnostic imaging*; D001943:Breast Neoplasms / Q000175:diagnosis*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008327:Mammography / Q000379:methods*; D019047:Phantoms, Imaging; D011786:Quality Control; D011829:Radiation Dosage; D011856:Radiographic Image Enhancement; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D011858:Radiographic Magnification; D011859:Radiography; D011871:Radiology / Q000379:methods; D011874:Radiometry; D014963:X-Ray Intensifying Screens