You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
9 March 2010The reconstruction of microcalcification clusters in digital breast tomosynthesis
We present a novel method for the detection and reconstruction in 3D of microcalcifications in digital breast
tomosynthesis (DBT) image sets. From a list of microcalcification candidate regions (that is, real microcalcification
points or noise points) found in each DBT projection, our method: (1) finds the set of corresponding points of a
microcalcification in all the other projections; (2) locates its 3D position in the breast; (3) highlights noise points; and (4)
identifies the failure of microcalcification detection in one or more projections, in which case the method predicts the
image locations of the microcalcification in the images in which they are missed.
From the geometry of the DBT acquisition system, an "epipolar curve" is derived for the 2D positions a
microcalcification in each projection generated at different angular positions. Each epipolar curve represents a single
microcalcification point in the breast. By examining the n projections of m microcalcifications in DBT, one expects
ideally m epipolar curves each comprising n points. Since each microcalcification point is at a different 3D position,
each epipolar curve will be at a different position in the same 2D coordinate system. By plotting all the
microcalcification candidates in the same 2D plane simultaneously, one can easily extract a representation of the number
of microcalcification points in the breast (number of epipolar curves) and their 3D positions, the noise points detected
(isolated points not forming any epipolar curve) and microcalcification points missed in some projections (epipolar
curves with less than n points).
The alert did not successfully save. Please try again later.
Candy P. S. Ho, Chris E. Tromans, Julia A. Schnabel, Sir Michael Brady, "The reconstruction of microcalcification clusters in digital breast tomosynthesis," Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76241E (9 March 2010); https://doi.org/10.1117/12.841205