Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors
This research presents signal-image post-processing techniques called Intensity-Curvature Measurement Approaches with application to the diagnosis of human brain tumors detected through Magnetic Resonance Imaging (MRI). Post-processing of the MRI of the human brain encompasses the following model fu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2015-11-01
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| Series: | Journal of Advanced Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090123215000028 |
| _version_ | 1818961445120901120 |
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| author | Carlo Ciulla Dimitar Veljanovski Ustijana Rechkoska Shikoska Filip A. Risteski |
| author_facet | Carlo Ciulla Dimitar Veljanovski Ustijana Rechkoska Shikoska Filip A. Risteski |
| author_sort | Carlo Ciulla |
| collection | DOAJ |
| description | This research presents signal-image post-processing techniques called Intensity-Curvature Measurement Approaches with application to the diagnosis of human brain tumors detected through Magnetic Resonance Imaging (MRI). Post-processing of the MRI of the human brain encompasses the following model functions: (i) bivariate cubic polynomial, (ii) bivariate cubic Lagrange polynomial, (iii) monovariate sinc, and (iv) bivariate linear. The following Intensity-Curvature Measurement Approaches were used: (i) classic-curvature, (ii) signal resilient to interpolation, (iii) intensity-curvature measure and (iv) intensity-curvature functional. The results revealed that the classic-curvature, the signal resilient to interpolation and the intensity-curvature functional are able to add additional information useful to the diagnosis carried out with MRI. The contribution to the MRI diagnosis of our study are: (i) the enhanced gray level scale of the tumor mass and the well-behaved representation of the tumor provided through the signal resilient to interpolation, and (ii) the visually perceptible third dimension perpendicular to the image plane provided through the classic-curvature and the intensity-curvature functional. |
| first_indexed | 2024-12-20T12:13:32Z |
| format | Article |
| id | doaj.art-2c890770fe104862b72b3deeb2e1b746 |
| institution | Directory Open Access Journal |
| issn | 2090-1232 2090-1224 |
| language | English |
| last_indexed | 2024-12-20T12:13:32Z |
| publishDate | 2015-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Advanced Research |
| spelling | doaj.art-2c890770fe104862b72b3deeb2e1b7462022-12-21T19:41:12ZengElsevierJournal of Advanced Research2090-12322090-12242015-11-01661045106910.1016/j.jare.2015.01.001Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain TumorsCarlo Ciulla0Dimitar Veljanovski1Ustijana Rechkoska Shikoska2Filip A. Risteski3University for Information Science & Technology, Partizanska B.B., 6000 Ohrid, MacedoniaSkopje City General Hospital, Pariska B.B., 1000 Skopje, MacedoniaUniversity for Information Science & Technology, Partizanska B.B., 6000 Ohrid, MacedoniaSkopje City General Hospital, Pariska B.B., 1000 Skopje, MacedoniaThis research presents signal-image post-processing techniques called Intensity-Curvature Measurement Approaches with application to the diagnosis of human brain tumors detected through Magnetic Resonance Imaging (MRI). Post-processing of the MRI of the human brain encompasses the following model functions: (i) bivariate cubic polynomial, (ii) bivariate cubic Lagrange polynomial, (iii) monovariate sinc, and (iv) bivariate linear. The following Intensity-Curvature Measurement Approaches were used: (i) classic-curvature, (ii) signal resilient to interpolation, (iii) intensity-curvature measure and (iv) intensity-curvature functional. The results revealed that the classic-curvature, the signal resilient to interpolation and the intensity-curvature functional are able to add additional information useful to the diagnosis carried out with MRI. The contribution to the MRI diagnosis of our study are: (i) the enhanced gray level scale of the tumor mass and the well-behaved representation of the tumor provided through the signal resilient to interpolation, and (ii) the visually perceptible third dimension perpendicular to the image plane provided through the classic-curvature and the intensity-curvature functional.http://www.sciencedirect.com/science/article/pii/S2090123215000028Classic-curvatureSignal resilient to interpolationIntensity-curvature measureIntensity-curvature functionalMRI brain tumors |
| spellingShingle | Carlo Ciulla Dimitar Veljanovski Ustijana Rechkoska Shikoska Filip A. Risteski Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors Journal of Advanced Research Classic-curvature Signal resilient to interpolation Intensity-curvature measure Intensity-curvature functional MRI brain tumors |
| title | Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors |
| title_full | Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors |
| title_fullStr | Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors |
| title_full_unstemmed | Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors |
| title_short | Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors |
| title_sort | intensity curvature measurement approaches for the diagnosis of magnetic resonance imaging brain tumors |
| topic | Classic-curvature Signal resilient to interpolation Intensity-curvature measure Intensity-curvature functional MRI brain tumors |
| url | http://www.sciencedirect.com/science/article/pii/S2090123215000028 |
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