Threshold pixel size for shape determination of microcalcifications in digital mammography: a pilot study
1 Department of Medical Radiation Physics, Lund University, Malmö University Hospital, Malmö, Sweden
2 Department of Diagnostic Radiology, Lund University, Malmö University Hospital, Malmö, Sweden
3 Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Göteborg, Sweden
* Corresponding author: mark.ruschin{at}rfa.mas.lu.se
The effect of pixel size on shape determination in screening digital mammography systems was studied using a shape identification task as the measured outcome. Ten microcalcifications on screen-films were digitised to a range of pixel sizes (2.5200 µm) and extracted from computed radiography (CR) images (50 µm) acquired under equivalent imaging conditions. Fifteen observers attempted to identify the shape of each microcalcification at each pixel size. The results were collated to provide a fraction of correct responses vs. pixel size curve for each microcalcification. Averaging over all shapes, pixel values >100 µm lead to a significant decrease in shape determination ability (p < 0.01) for digitised screen-film. For CR images, half the shapes were not properly identified. Hence, although 20100 µm was sufficient for microcalcification shape determination for digitised screen-film images, 50 µm was only borderline sufficient for the CR digital images.
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
S. Suryanarayanan, A. Karellas, S. Vedantham, I. Sechopoulos, and C. J. D'Orsi Detection of Simulated Microcalcifications in a Phantom with Digital Mammography: Effect of Pixel Size Radiology, July 1, 2007; 244(1): 130 - 137. [Abstract] [Full Text] [PDF] |
||||
