Automatic recognition of cancerous cells using mathematical morphology

Jean-Philippe Thiran; Marc-Olivier Becks; Benoit M. M. Macq; Jacques Mairesse

doi:10.1117/12.185200

9 September 1994 Automatic recognition of cancerous cells using mathematical morphology

Jean-Philippe Thiran, Marc-Olivier Becks, Benoit M. M. Macq, Jacques Mairesse

Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185200
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States

Abstract

An earlier study investigated a technique to reconstruct in three- dimensions, the path of a bullet through a skull, using the post-mortem X-rays of the victim and stock computed tomography (CT) data. This paper describes the addition of image deformation methods in order to improve the accuracy of the reconstruction technique. The skull X-ray images of the victim were warped to match the shape of the skull in the CT. The warping was done by a thin-plate spline deformation algorithm. The bullet path was again reconstructed using the warped X-ray images as the source of information for the bullet entry and exit wound. The difference in the angle of the bullet paths in the two reconstructions was 6.9 degrees.

Citation Download Citation

Jean-Philippe Thiran, Marc-Olivier Becks, Benoit M. M. Macq, and Jacques Mairesse "Automatic recognition of cancerous cells using mathematical morphology", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); https://doi.org/10.1117/12.185200

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