A priori knowledge integration for the detection of cerebral aneurysm
-
Ines Rahmany
and
Nawres Khlifa
Abstract
The detection of intracranial aneurysms is of a paramount effect in the prevention of cerebral subarachnoid hemorrhage. We propose in this paper, a new approach to detect cerebral aneurysm in digital subtraction angiography (DSA) images by fusing several sources of knowledge. After a brief description of a priori knowledge that the expert has provided about cerebral aneurysm, we propose a system architecture including fuzzy modeling and data fusion. The results on the studied cases are very promising.
Acknowledgements
The authors would like to thank Dr. Houda Megdiche (Soukra Clinic, Tunisia) for providing us with all DSA images as well as for the analysis and interpretation of images and results during the evaluation process in the above presented work.
Author Statement
Research funding: Authors state no funding involved.
Conflict of interest: Authors state no conflict of interest.
Informed consent: Informed consent is not applicable.
Ethical approval: The conducted research is not related to either human or animals use.
References
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©2018 Walter de Gruyter GmbH, Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Research articles
- A new in vitro spine test rig to track multiple vertebral motions under physiological conditions
- In-service characterization of a polymer wick-based quasi-dry electrode for rapid pasteless electroencephalography
- Spike detection using a multiresolution entropy based method
- Obstacles in using a computer screen for steady-state visually evoked potential stimulation
- Classification of pulmonary pathology from breath sounds using the wavelet packet transform and an extreme learning machine
- Filtering of ECG signals distorted by magnetic field gradients during MRI using non-linear filters and higher-order statistics
- Failure analysis of eleven Gates Glidden drills that fractured intraorally during post space preparation. A retrieval analysis study
- Assessing multiple muscle activation during squat movements with different loading conditions – an EMG study
- In-vivo monitoring of infection via implantable microsensors: a pilot study
- Analysis of structural brain MRI and multi-parameter classification for Alzheimer’s disease
- False spectra formation in the differential two-channel scheme of the laser Doppler flowmeter
- A priori knowledge integration for the detection of cerebral aneurysm
- Is the location of the signal intensity weighted centroid a reliable measurement of fluid displacement within the disc?
- Image-based 3D surface approximation of the bladder using structure-from-motion for enhanced cystoscopy based on phantom data
- Fused multivariate empirical mode decomposition (MEMD) and inverse solution method for EEG source localization
- Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithm
- A hybrid active force control of a lower limb exoskeleton for gait rehabilitation
- Short communication
- Can somatosensory electrical stimulation relieve spasticity in post-stroke patients? A TMS pilot study
