title: Intensity-Curvature Measurement Approaches for the Diagnosis of Magnetic Resonance Imaging Brain Tumors.
abstract: 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.
authors.affiliation: University for Information Science & Technology, Partizanska B.B., 6000 Ohrid, Macedonia.
authors.forename: Carlo
authors.initials: C
authors.lastname: Ciulla
authors.affiliation: Skopje City General Hospital, Pariska B.B., 1000 Skopje, Macedonia.
authors.forename: Dimitar
authors.initials: D
authors.lastname: Veljanovski
authors.affiliation: University for Information Science & Technology, Partizanska B.B., 6000 Ohrid, Macedonia.
authors.forename: Ustijana
authors.initials: U
authors.lastname: Rechkoska Shikoska
authors.affiliation: Skopje City General Hospital, Pariska B.B., 1000 Skopje, Macedonia.
authors.forename: Filip A
authors.initials: FA
authors.lastname: Risteski
keywords: Classic-curvature; Intensity-curvature functional; Intensity-curvature measure; MRI brain tumors; Signal resilient to interpolation