3-D Digital Imaging of Breast Calcifications: Improvements in Image Quality, and Development of Automated Reconstruction Methods
Final rept. 15 Aug 1997-14 Aug 2002
THOMAS JEFFERSON UNIV PHILADELPHIA PA
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In this grant, we generated a manually segmented and paired dataset of 110 patients images, which we have used as a gold standard in the evaluation of computer algorithms for identifying, segmenting and correlating calcifications. We have been able to develop two separate computer algorithms one for identification and segmentation of potential calcifications, the other to find calcification triplets that should be paired. Both algorithms are quite robust. There are a number of significant findings from this work that will be published. First, the use of Eulers number to determine connectivity in an automated fashion is unique. Secondly, the simultaneous correction of patient motion and the determination of correspondence between the views is unique.
- Medicine and Medical Research