Integrated-model-based approach in recognizing blood vessels in MR images

Qian Huang

doi:10.1117/12.189153

6 October 1994 Integrated-model-based approach in recognizing blood vessels in MR images

Qian Huang

Proceedings Volume 2350, Videometrics III; (1994) https://doi.org/10.1117/12.189153
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

An integrated model-based approach for extracting blood vessels in MR images is presented. A Generalized Stochastic Tube model is used to capture both the shape of local tube-like object segments and the shape dynamics of global object trajectories. The blood flow within cross sections is explicitly modeled using a bivariate Gaussian density function that predicts the expected sensor measurement configuration. Experimental results on both synthetic data with different degrees of Gaussian noise and real MRA data demonstrated that integrating both shape and blood flow models yields accurate and robust performance even under noisy conditions.

Citation Download Citation

Qian Huang "Integrated-model-based approach in recognizing blood vessels in MR images", Proc. SPIE 2350, Videometrics III, (6 October 1994); https://doi.org/10.1117/12.189153

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