The Properties of The Intensity-Curvature Measurement Approaches: Applications In Magnetic Resonance Imaging of The Human Brain
| Autor: | Dimitar Veljanovski, Ustijana Rechkoska Shikoska, Carlo Ciulla, Filip A. Risteski |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Physics
medicine.diagnostic_test business.industry Magnetic resonance imaging Filter (signal processing) Curvature Grayscale Signal 030218 nuclear medicine & medical imaging Term (time) Intensity (physics) 03 medical and health sciences 0302 clinical medicine medicine Computer vision Artificial intelligence business 030217 neurology & neurosurgery Interpolation |
| Zdroj: | Journal of Institute of Science and Technology. 22:19-31 |
| ISSN: | 2467-9240 |
| DOI: | 10.3126/jist.v22i2.19591 |
| Popis: | The intensity-curvature measurement approaches (ICMAs) are re-sampling techniques. The intensity-curvature term is the product between the signal intensity and the classic-curvature and is the root concept at the foundation of the ICMAs. The concept offers six ICMAs: the classic-curvature (CC), the intensity-curvature functional (ICF), the signal resilient to interpolation (SRI), the resilient curvature (RC), the intensity-curvature term before interpolation (Eo(x, y)), and the intensity-curvature term after interpolation (EIN(x, y)). The ICMAs have the following properties. The CC and the ICF are mask images. The SRI is a filter. The RC is adept to invert, and simultaneously, to smooth and to magnify the grayscale of the image. The aforementioned properties are illustrated with two-dimensional theoretical images and with Magnetic Resonance Imaging (MRI) images of the human brain. The novelty of this work consists of the use of the Eo(x, y) and the EIN(x, y) in order to highlight human brain vessels identified with MRI. Journal of Institute of Science and Technology Volume 22, Issue 2, January 2018, Page: 19-31 |
| Databáze: | OpenAIRE |
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