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Title:
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PATTERN RECOGNITION IN CARDIAC MAGNETIC RESONANCE IMAGES USING THE GENERALIZED FUZZY HOUGH TRANSFORM |
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Author(s):
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Pau Micó , Javier Moya , Jordi Linares |
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ISBN:
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978-972-8924-97-3 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2009 |
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Edition:
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V II, 2 |
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Keywords:
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Cardiac magnetic resonance, fuzzy Hough transform. |
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Type:
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Short Paper |
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First Page:
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186 |
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Last Page:
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190 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Nowadays, heart diseases are considered as the first cause of death all around the world. Cardiac magnetic resonance
(CMR) becomes the standard in heart imaging and disease diagnosis. The CMR tests result in a high amount of
information that has to be manually inspected by the cardiologists. In this paper, we propose the use of the generalized
fuzzy Hough transform to automatically identify the cardiac regions of interest (ROIs) in CMR images. A quality
estimator for the ROI is calculated and the images are classified to simplify the manual inspection task. Tests for the the
pattern validation and the CMR images classification are conducted. The goodness of the results validates this method. |
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