Partial Volume Compensated Reconstruction of Three-dimensional Mass Shapes in Mammographic Images

Ling Shao

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Accurately reconstructing the three-dimensional mass shapes in mammographic images is important for classifying the abnormality into malignant or benign. In this paper, a partial volume compensated reconstruction technique for mass shapes is presented. The two-dimensional shapes of the masses are first automatically segmented using a region growing approach. The 3D mass shapes are then iteratively refined according to an algebraic reconstruction technique. Partial volume estimation is applied on the boundary to get a smoother 3D shape. Evaluation results show that the proposed algorithm improves the accuracy of the mass reconstruction.
Original languageEnglish
Pages (from-to)191-195
JournalJournal of Digital Imaging
Volume20
Issue number2
Early online date16 Feb 2006
DOIs
Publication statusPublished - Jun 2007

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