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Our lab develops new optical imaging techniques for assessment of disease in living and excised tissues. These techniques include low-resolution macroscopic imaging to inspect an entire organ or tissue area for signs of abnormality, and high-resolution microscopic imaging to zoom in and assess whether individual cells are normal or neoplastic (cancerous).
An ongoing project involves imaging tissue specimens removed during breast cancer surgery to assess whether there are cancer cells at or near the edge of the specimen. If found, these cells may indicate that the patient also has cancer cells remaining at the neighboring location in the surgical resection site. Post-operative radiation treatment can then be directed to this region to eliminate any residual disease.
The goal of this Aresty project is to build 3-D reconstructions of the imaged specimens from individual 2-D image slices. If successful, a second step would be to identify those regions within the 3-D volumes which have high-risk cancer cells. 3-D image reconstruction is currently performed using a combination of Matlab and medical image analysis software called 3D Slicer.
The accuracy of 3-D reconstruction will be assessed by comparing the resulting volumes to pathology sections from the same tissue sample.
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