A New Image Segmentation of Leptomeningeal Metastasis in Leukemia Patients

H. Z. Ilmadina, A. M. Arymurthy, Rosalina

Research output: Contribution to journalConference article

Abstract

Leptomeningeal metastasis is an indication of the malignancy that occurs in leukemia patients. Although it only has a 5-10% portion caused the leukemia patient to relapse, the abnormality is the basis in determining the best treatment given to them. Leptomeningeal metastasis are better detected by using Magnetic Resonance Imaging (MRI) because of their high sensitivity in neuraxis images. High ability to see and analyze is needed for a radiologist in reading the Brain MRI results of leukemia patients with suspect leptomeningeal metastasis. Therefore, the classification will take a long time and allow for the misreading of the results. In this experiment, we used a dataset from the Brain MRI of leukemia patients of Dharmais Cancer Hospital. We implemented the proposed method in performing the leptomeningeal metastasis segmentation. The preprocessing image applied for sharpening and removing unwanted noises in the image using the Median Filter. A hybrid semi-automated skull stripping was also developed to improve the accuracy of the segmentation. Then Fuzzy C-Means is used to segment the abnormalities and reach an average evaluation performance at 49.1% Jaccard Index.

Original languageEnglish
Article number012014
JournalJournal of Physics: Conference Series
Volume1577
Issue number1
DOIs
Publication statusPublished - 15 Jul 2020
Event2nd International Conference on Electronics Representation and Algorithm: Innovation and Transformation for Best Practices in Global Community, ICERA 2019 - Yogyakarta, Indonesia
Duration: 12 Dec 201913 Dec 2019

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