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Fuzzy Segmentation of the Left Ventricle in Cardiac MRI Using Physiological Constraints

Papastylianou, Tasos and Kelly, Christopher and Villard, Benjamin and Dall’ Armellina, Erica and Grau, Vicente (2015) Fuzzy Segmentation of the Left Ventricle in Cardiac MRI Using Physiological Constraints. In: International Conference on Functional Imaging and Modeling of the Heart (FIMH 2015), 2015-06-25 - 2015-06-27, Maastricht, The Netherlands.

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Abstract

We describe a general framework for adapting existing segmentation algorithms, such that the need for optimisation of intrinsic, potentially unintuitive parameters is minimized, focusing instead on applying intuitive physiological constraints. This allows clinicians to easily influence existing tools of their choice towards outcomes with physiological properties that are more relevant to their particular clinical contexts, without having to deal with the optimisation specifics of a particular algorithm’s intrinsic parameters. This is achieved by a structured exploration of the parameter space resulting in a subspace of relevant segmentations, and by subsequent fusion biased towards segmentations that best adhere to the imposed constraints. We demonstrate this technique on an algorithm used by a validated, and freely available cardiac segmentation suite (Segment – http://segment.heiberg.se).

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Papastylianou T., Kelly C., Villard B., Dall’ Armellina E., Grau V. (2015) Fuzzy Segmentation of the Left Ventricle in Cardiac MRI Using Physiological Constraints. In: van Assen H., Bovendeerd P., Delhaas T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2015. Lecture Notes in Computer Science, vol 9126. Springer
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 18 Jun 2019 14:59
Last Modified: 18 Jun 2019 15:15
URI: http://repository.essex.ac.uk/id/eprint/24858

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