# A MHT-BASED ALGORITHM FOR PERFORMANCE ESTIMATION IN DT-MRI BAYESIAN TRACKING METHODS

### L. M. San José Revuelta

#### Abstract

This paper deals with the development of a recursive fuzzy inference system that can be applied to estimate the error probability of several tracking algorithms used in medical image processing systems. Specifically, we are interested in the fiber bundles estimation process (fiber tracking) in diffusion tensor (DT) fields acquired via magnetic resonance imaging (MRI). As tracking algorithm we have considered a variation of the Bayesian tracking scheme proposed by Friman and Westin. This paper studies the analogies between this tracking approach and a typical Multiple Hypotheses Tracing (MHT) system, for which fuzzy systems are closely related. This comparison leads to the development of a SAM (Standard Additive Model) fuzzy system that on-line estimates the certainty of the estimated fiber tracts. Its low computational load as well as its efficiency in very isotropic volumes are its main advantages.

#### References

- Alberola, C., C. G. V. (1999). Tracking with text-based messages. In IEEE Intell. Systems (14).
- Ehricke, H. H., K. U. G. W. (2006). Visualizing mr-dt fields by dynamic fiber tracking and uncertainty mapping. In Computers & Graphics (30).
- Friman, O., W. C.-F. (2005). Uncertainty in white matter fiber tractography. In Proc. MICCAI 2005, LNCS 3749.
- Mori, S., v. Z.-P. C. M. (2002). Fiber tracking: principles and strategies - a technical review. In Nuclear Magnetic Resonance in Biomedicine (15).
- Reid, D. B. (1979). An algorithm for tracking nmultiple targets. In IEEE Tr. Automat. Contr., vol. AC-24.
- San José, L. M. (2005). Hypotheses control-based strategies for the simplification of bayesian multiuser detectors. In Proc. IEEE XIV Workshop on Machine Learning for Signal Processing.
- San-José, L. M., M. M. A. C. (2006). A new method for fiber tractography in diffusion tensor magnetic resonance images. In Proc. ICSIP 2006, vol. I.
- Westin, C.-F. e. a. (2002). Processing and visualization for dt-mri. In Med. Image Analysis (6).

#### Paper Citation

#### in Harvard Style

San José Revuelta L. (2009). **A MHT-BASED ALGORITHM FOR PERFORMANCE ESTIMATION IN DT-MRI BAYESIAN TRACKING METHODS** . In *Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,* ISBN 978-989-674-000-9, pages 445-448. DOI: 10.5220/0002213204450448

#### in Bibtex Style

@conference{icinco09,

author={L. M. San José Revuelta},

title={A MHT-BASED ALGORITHM FOR PERFORMANCE ESTIMATION IN DT-MRI BAYESIAN TRACKING METHODS},

booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},

year={2009},

pages={445-448},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0002213204450448},

isbn={978-989-674-000-9},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,

TI - A MHT-BASED ALGORITHM FOR PERFORMANCE ESTIMATION IN DT-MRI BAYESIAN TRACKING METHODS

SN - 978-989-674-000-9

AU - San José Revuelta L.

PY - 2009

SP - 445

EP - 448

DO - 10.5220/0002213204450448