A new 3D tubular intensity model for quantification of thin vessels in 3D tomographic images

Stefan Wörz; Hendrik von Tengg-Kobligk; Karl Rohr

doi:10.1117/12.844117

12 March 2010 A new 3D tubular intensity model for quantification of thin vessels in 3D tomographic images

Stefan Wörz, Hendrik von Tengg-Kobligk, Karl Rohr

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 76230P (2010) https://doi.org/10.1117/12.844117
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

We introduce a new 3D curved tubular intensity model in conjunction with a model fitting scheme for accurate segmentation and quantification of thin vessels in 3D tomographic images. The curved tubular model is formulated based on principles of the image formation process, and we have derived an analytic solution for the model function. In contrast to previous straight models, the new model allows to accurately represent curved tubular structures, to directly estimate the local curvature by model fitting, as well as to more accurately estimate the shape and other parameters of tubular structures. We have successfully applied our approach to 3D synthetic images as well as 3D MRA and 3D CTA vascular images of the human. It turned out that we achieved more accurate segmentation results in comparison to using a straight model.

Citation Download Citation

Stefan Wörz, Hendrik von Tengg-Kobligk, and Karl Rohr "A new 3D tubular intensity model for quantification of thin vessels in 3D tomographic images", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76230P (12 March 2010); https://doi.org/10.1117/12.844117

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