The International Arab Journal of Information Technology (IAJIT)


Diagnosis of Leptomeningeal Metastases Disease in MRI Images by Using Image Enhancement

Leptomeningeal Metastases (LM) disease is the advanced stages of some complicated cancers. It contaminates in the Cerebrospinal Fluid (CSF). Tumors might be in macroscopic or microscopic sizes. The medical operation is more risky than other cancers. Consequently, diagnosis of leptomeningeal metastases is important. Different methods are used to diagnose LM disease such as CSF examination and imaging systems Magnetic Resonance Imaging (MRI) or Computer Tomography (CT) examination. CSF examination result is more accurate compared to CT or MRI imaging systems. However imaging systems’ results are taken more early than CSF examination. Some details in MRI images are hidden and if the proper image enhancement method is used, the details will be revealed. Diagnosis of LM disease can be earlier with accurate results at that time. In this study, some image enhancement methods were used. The probability of result of Logarithmic Transformation (LT) method and Power-Law Transformation (PLT) method were almost the same and result was p=0.000 (p<0.001), and statistically high result was obtained. The probability of Contrast Stretching (CS) method was p=0.031 (p<0.05), and this result was statistically significant. The other four methods’ results were insignificant. These methods are Image Negatives Transformation (INT) method, thresholding transformations method; Gray-Level Slicing (GLS) method and Bit-Plane Slicing (BPS) method.

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[38] Yousem D.M., Patrone P.M., Grossman R.I., Leptomeningeal Metastases: MR Evaluation, J Comput. Assist. Tomogr. vol. 14, no. 2, pp. 255- 261, 1990. Mehmet G l was graduated from Computer Education and Instructional Technology in Middle East Technical University, Ankara, Turkey in 2006. He received master degrees in Computer Engineering in F rat University, Elaz , Turkey in 2010. He is PhD student in biomedical Engineering in Fatih University, Istanbul. He studies at image process methods. He has been a computer instructor in Dicle University, Diyarbak r, Turkey since 2009. Sad k Kara was graduated from Department of Electronics Engineering at Erciyes University in 1988. He had work experiences at various companies such as Turkish Electricity Association, BirlikMensucat Textile Factory, and Military 2nd Maintenance Centre as an engineer. His academic career was started at Erciyes University in 1991 as a Teaching and Research Assistant. In 2000, he received his Assoc. Prof. Degree on Bio- electronics.He had worked in Turkish Journal of Electrical Engineering and Computer Sciences as an Editor in Chief from 2009 to 2014 and has been working as a Professor at Fatih University as well as theHead of Research Project Management Office, Director of the Institute of Biomedical Engineering and Head of Conservatory since 2008. His general research interests include bioinstrumentation, biosignal and image processing, and neural network applications in medicine. Abdurrahman I kdo an was graduated from faculty of medicine in Dicle University, Diyarbak r, Turkey, in 1991. He received associated professor in medical oncology in Dicle University, in 2004. He has been professor in medical oncology department in Dicle University, Turkey since 2009. Yusuf Yarar graduated from faculty of medicine, Ege University, zmir, Turkey. He received radiologist specialist in Adana Numune education and research hospital. He has worked in Selahaddin iEyyubi State hospital since 2012.