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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
engineering
3-D reconstruction of microcalcification clusters using stereo imaging: Algorithm and mammographic unit calibration
IEEE Transactions on Biomedical Engineering, Volume 52, No. 12, Year 2005
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Description
The three-dimensional (3-D) shape of microcalcification clusters is an important indicator in early breast cancer detection. In fact, there is a relationship between the cluster topology and the type of lesion (malignant or benign). This paper presents a 3-D reconstruction method for such clusters using two 2-D views acquired during standard mammographic examinations. For this purpose, the mammographic unit was modeled using a camera with virtual optics. This model was used to calibrate the acquisition unit and then to reconstruct the clusters in the 3-D space after microcalcification segmentation and matching. The proposed model is hardware independent since it is suitable for digital mammographic units with different geometries and with various physical acquisition principles. Three-dimensional reconstruction results are presented here to prove the validity of the method. Tests were first performed using a phantom with a well-known geometry. The latter contained X-ray opaque glass balls representing microcalcifications. The positions of these balls were reconstructed with a 16.25-μm mean accuracy. This very high inherent algorithm accuracy is more than enough for a precise 3-D cluster representation. Further validation tests were carried out using a second phantom including a spherical cluster. This phantom was built with materials simulating the behavior of both mammary tissue and microcalcifications toward Xrays. The reconstructed shape was effectively spherical. Finally, reconstructions were carried out for real clusters and their results are also presented. © 2005 IEEE.
Authors & Co-Authors
Daul, Christian
France, Vandoeouvre-les-nancy
Cran Centre de Recherche en Automatique de Nancy
France, Nancy
Université de Lorraine
Graebling, Pierre
France, Illkirch-graffenstaden
Laboratoire Des Sciences de L'ingénieur, de L'informatique et de L'imagerie
France, Strasbourg
Université de Strasbourg
Tiedeu, Alain Bertin
Cameroon, Yaounde
Ecole National Superieure Polytechnique Cameroon
Cameroon, Yaounde
Université de Yaoundé I
Wolf, Didier
France, Vandoeouvre-les-nancy
Cran Centre de Recherche en Automatique de Nancy
France, Nancy
Université de Lorraine
Statistics
Citations: 10
Authors: 4
Affiliations: 6
Identifiers
Doi:
10.1109/TBME.2005.857642
ISSN:
00189294
Research Areas
Cancer
Study Design
Case-Control Study