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Using of Laplacian Re-decomposition image fusion algorithm for glioma grading with SWI, ADC, and FLAIR images

Khorasani Amir, Tavakoli Mohamad Bagher, Saboori Masih

Polish Journal of Medical Physics and Engineering

2021

Vol. 27, Iss. 4

261--269

Introduction: Based on the tumor’s growth potential and aggressiveness, glioma is most often classified into low or high-grade groups. Traditionally, tissue sampling is used to determine the glioma grade. The aim of this study is to evaluate the efficiency of the Laplacian Re-decomposition (LRD) medical image fusion algorithm for glioma grading by advanced magnetic resonance imaging (MRI) images and introduce the best image combination for glioma grading. Material and methods: Sixty-one patients (17 low-grade and 44 high-grade) underwent Susceptibility-weighted image (SWI), apparent diffusion coefficient (ADC) map, and Fluid attenuated inversion recovery (FLAIR) MRI imaging. To fuse different MRI image, LRD medical image fusion algorithm was used. To evaluate the effectiveness of LRD in the classification of glioma grade, we compared the parameters of the receiver operating characteristic curve (ROC). Results: The average Relative Signal Contrast (RSC) of SWI and ADC maps in high-grade glioma are significantly lower than RSCs in low-grade glioma. No significant difference was detected between low and high-grade glioma on FLAIR images. In our study, the area under the curve (AUC) for low and high-grade glioma differentiation on SWI and ADC maps were calculated at 0.871 and 0.833, respectively. Conclusions: By fusing SWI and ADC map with LRD medical image fusion algorithm, we can increase AUC for low and high-grade glioma separation to 0.978. Our work has led us to conclude that, by fusing SWI and ADC map with LRD medical image fusion algorithm, we reach the highest diagnostic accuracy for low and high-grade glioma differentiation and we can use LRD medical fusion algorithm for glioma grading.

Techniki obrazowania rezonansu magnetycznego (MR)

Cichocka M.

Inżynier i Fizyk Medyczny

2015

Vol. 4, nr 6

313--318

Obrazowanie rezonansu magnetycznego (MR) pozwala nie tylko na uwidocznienie struktur ciała człowieka. Dzięki rozwojowi metody możliwe jest także określenie funkcjonalności mózgu (badania funkcjonalne, fMRI), nieinwazyjna ocena składu chemicznego tkanek (spektroskopia, MRS), obrazowanie dyfuzji wody (dyfuzja, DWI oraz tensor dyfuzji, DTI), a także pomiar perfuzji krwi przez poszczególne tkanki (perfuzja, PWI). Techniki te znajdują coraz szersze zastosowanie w różnych dziedzinach medycyny.

Magnetic resonance imaging (MRI) allows not only to visualize the structures of the human body. Thanks to the development of this method, it is also possible to determine the functionality of the brain (functional imaging, fMRI), non-invasively evaluate the tissues chemical composition (spectroscopy, MRS) image water diffusion (diffusion-weighted imaging, DWI and diffusion tensor, DTI), as well as to measure blood perfusion in individual tissues (perfusion-weighted imaging, PWI). These techniques are increasingly used in various fields of medicine.