Parametrization of textural patterns in {sup 123}I-ioflupane imaging for the automatic detection of Parkinsonism

Journal Article · Wed Jan 15 04:00:00 EST 2014 · Medical Physics

DOI:https://doi.org/10.1118/1.4845115· OSTI ID:22251245

Górriz, J. M.; Ramírez, J. ^[1]; Moreno-Caballero, M.; Gómez-Río, M. ^[2]

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1. Signal Processing and Biomedical Applications Research Group, Department of Signal Theory, Networking and Communications, University of Granada, Granada 18071 (Spain)
2. Department of Nuclear Medicine, Virgen de las Nieves Hospital, Granada 18071 (Spain)

Purpose: A novel approach to a computer aided diagnosis system for the Parkinson's disease is proposed. This tool is intended as a supporting tool for physicians, based on fully automated methods that lead to the classification of{sup 123}I-ioflupane SPECT images. Methods: {sup 123}I-ioflupane images from three different databases are used to train the system. The images are intensity and spatially normalized, then subimages are extracted and a 3D gray-level co-occurrence matrix is computed over these subimages, allowing the characterization of the texture using Haralick texture features. Finally, different discrimination estimation methods are used to select a feature vector that can be used to train and test the classifier. Results: Using the leave-one-out cross-validation technique over these three databases, the system achieves results up to a 97.4% of accuracy, and 99.1% of sensitivity, with positive likelihood ratios over 27. Conclusions: The system presents a robust feature extraction method that helps physicians in the diagnosis task by providing objective, operator-independent textural information about{sup 123}I-ioflupane images, commonly used in the diagnosis of the Parkinson's disease. Textural features computation has been optimized by using a subimage selection algorithm, and the discrimination estimation methods used here makes the system feature-independent, allowing us to extend it to other databases and diseases.

• OSTI ID: 22251245
• Journal Information: Medical Physics, Journal Name: Medical Physics Journal Issue: 1 Vol. 41; ISSN 0094-2405; ISSN MPHYA6
• Country of Publication: United States
• Language: English

Related Subjects

62 RADIOLOGY AND NUCLEAR MEDICINE
ACCURACY
ALGORITHMS
CALCULATION METHODS
DIAGNOSIS
IMAGES
IODINE 123
NERVOUS SYSTEM DISEASES
SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY
VALIDATION