Program Information
An Ellipsoid Convex Enhancement Filter Based Computer-Aided Diagnostic Framework of Intracranial Aneurysms in MRA Images
Z Jin1,2*, H Arimura1, S Kakeda3, F Yamashita4, M Sasaki4, Y Korogi3, (1)Kyushu University, Fukuoka, Japan, (2)Research Fellow of the Japan Society for the Promotion of Science, Japan, (3)University of Occupational and Environmental Health, Kitakyushu-shi, Japan, (4)Iwate Medical University, Morioka, Japan
Presentations
TH-CD-206-11 (Thursday, August 4, 2016) 10:00 AM - 12:00 PM Room: 206
Purpose: For early detections of asymptomatic intracranial aneurysms, computer aided diagnostic (CAD) frameworks of intracranial aneurysms in magnetic resonance angiography (MRA) images were developed with various enhancement filters. However, discrimination between aneurysms and false positive structures, such as bending or branching portions of vessels could still be a challenging task for the enhancement filters. Therefore, we focused on developing an ellipsoid convex enhancement (ECE) filter based CAD framework, which is capable of enhancing aneurysms while reducing the effect on bending and branching portions of vessels, for detection of intracranial aneurysm candidate.
Methods: The proposed ECE filter was designed for selectively enhancing aneurysms with certain ellipsoid convex shapes, whose ratios of the shortest to longest diameters correspond to the ratio of reciprocals of the square roots of the first and third eigenvalues of Hessian matrices. This filter was applied to artificial images with Gaussian ellipsoid models and clinical MRA images of 30 patients (Male: 10, Female: 20; age: 48 to 86 years, mean: 69.2) with 31 unruptured aneurysms (longest diameter: 2.0 to 5.5 mm, mean: 3.7 mm) based on a leave-one-out-by-patient test.
Results: The proposed ECE filter reduced the average contrast for false positive Gaussian ellipsoid models by 51.4%. The number of false positives per patient decreased from 41.1 to 22.8 at a sensitivity of 87% by using the ECE filter.
Conclusion:The ellipsoid convex enhancement filter based CAD framework of intracranial aneurysms in MRA images would be useful by providing a higher contrast between aneurysms and false positive structures such as bending or branching portions of vessels.
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