
Proceedings Paper
Novel single x-ray absorptiometry method to solve for volumetric breast density in mammograms with paddle tiltFormat | Member Price | Non-Member Price |
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Paper Abstract
We report on the design and validation of a breast tissue equivalent phantom for automated measurement of
breast composition in film/screen and digital mammography systems. This phantom is a multi-step phantom made of a
single material and containing nine lead positioning markers around its periphery. The markers allow for the phantom
position to be solved relative to the x-ray gantry. The phantom was adhered to the top of the mammographic
compression paddle such that it projected an attenuation image onto the unused corner of the image without overlapping
with CC- nor MLO-view breast edges. The markers and their centroids were identified using automatic morphological
image processing operations. The phantom, and thus the paddle, orientation is then obtained by minimizing a simple
least-square error function of the difference between a pseudo projection image of the phantom markers at known
coordinates and the actual marker image. Fibroglandular-equivalent breast attenuation values were found directly from
step phantom projections. Fat attenuation values were derived from the attenuation coefficient ratios of fat to
fibroglandular tissue. Finally, breast density was calculated by comparing image pixel values to the fat/fibroglandular
references at the same thickness. Multiple scans of a test object (a density step phantom with 7 densities) at nine
different compression thicknesses and six paddle-tilt angles were acquired. We found the precision for determining the
breast thickness to be 0.015 cm (standard deviation) and for determining individual paddle angles to be 0.05 degrees.
Multiple clinical studies using the technique on film/screen and digital mammography machines are also currently under
way.
Paper Details
Date Published: 22 March 2007
PDF: 8 pages
Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 651035 (22 March 2007); doi: 10.1117/12.710295
Published in SPIE Proceedings Vol. 6510:
Medical Imaging 2007: Physics of Medical Imaging
Jiang Hsieh; Michael J. Flynn, Editor(s)
PDF: 8 pages
Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 651035 (22 March 2007); doi: 10.1117/12.710295
Show Author Affiliations
Serghei Malkov, Univ. of California at San Francisco (United States)
Jeff Wang, Univ. of California at San Francisco (United States)
Jeff Wang, Univ. of California at San Francisco (United States)
John Shepherd, Univ. of California at San Francisco (United States)
Published in SPIE Proceedings Vol. 6510:
Medical Imaging 2007: Physics of Medical Imaging
Jiang Hsieh; Michael J. Flynn, Editor(s)
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