title: Multispectral medical image fusion in Contourlet domain for computer based diagnosis of Alzheimer's disease.
abstract: Computer based diagnosis of Alzheimer's disease can be performed by dint of the analysis of the functional and structural changes in the brain. Multispectral image fusion deliberates upon fusion of the complementary information while discarding the surplus information to achieve a solitary image which encloses both spatial and spectral details. This paper presents a Non-Sub-sampled Contourlet Transform (NSCT) based multispectral image fusion model for computer-aided diagnosis of Alzheimer's disease. The proposed fusion methodology involves color transformation of the input multispectral image. The multispectral image in YIQ color space is decomposed using NSCT followed by dimensionality reduction using modified Principal Component Analysis algorithm on the low frequency coefficients. Further, the high frequency coefficients are enhanced using non-linear enhancement function. Two different fusion rules are then applied to the low-pass and high-pass sub-bands: Phase congruency is applied to low frequency coefficients and a combination of directive contrast and normalized Shannon entropy is applied to high frequency coefficients. The superiority of the fusion response is depicted by the comparisons made with the other state-of-the-art fusion approaches (in terms of various fusion metrics).
authors.affiliation: Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh 226028, India.
authors.forename: Vikrant
authors.initials: V
authors.lastname: Bhateja
authors.affiliation: Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh 226028, India.
authors.forename: Aisha
authors.initials: A
authors.lastname: Moin
authors.affiliation: Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh 226028, India.
authors.forename: Anuja
authors.initials: A
authors.lastname: Srivastava
authors.affiliation: Duytan University, Danang 550000, Vietnam.
authors.forename: Le Nguyen
authors.initials: le N
authors.lastname: Bao
authors.affiliation: Department of Innovation Engineering, University of Salento, Lecce 73100, Italy.
authors.forename: Aimé
authors.initials: A
authors.lastname: Lay-Ekuakille
authors.affiliation: Duytan University, Danang 550000, Vietnam.
authors.forename: Dac-Nhuong
authors.initials: DN
authors.lastname: Le
mesh_terms: D000544:Alzheimer Disease / Q000000981:diagnostic imaging*; D001921:Brain / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D049268:Positron-Emission Tomography; D000072098:Single Photon Emission Computed Tomography Computed Tomography