A New Method for Segmentation of Multiple Sclerosis (MS) Lesions on Brain MR Images

Journal Title: روش های هوشمند در صنعت برق - Year 2015, Vol 6, Issue 21

Abstract

Automatic segmentation of multiple sclerosis (MS) lesions in brain MRI has been widely investigated in recent years with the goal of helping MS diagnosis and patient follow-up. In this study we applied gaussian mixture model (GMM) to segment MS lesions in MR images. Usually, GMM is optimized using expectation-maximization (EM) algorithm. One of the drawbacks of this optimization method is that, it does not convergence to optimal maximum or minimum. Starting from different initial points and saving best result, is a strategy which is used to reach the near optimal. This approach is time consuming and we used another way to initiate the EM algorithm. Also, FAST- Trimmed Likelihood Estimator (FAST-TLE) algorithm was applied to determine which voxels should be rejected. The automatically segmentation outputs were scored by two specialists and the results show that our method has capability to segment the MS lesions with Dice similarity coefficient (DSC) score of 0.82.

Authors and Affiliations

Simin Jafari, Ali Reza Karimian

Keywords

Related Articles

Design and Implementation of Half-Bridge LLC Resonant Converter by FHA Technique

Although in existence for many years, only recently has the LLC resonant converters, in particular in its half-bridge implementation, gained in the popularity it certainly deserve. The advantages such as high efficiency,...

Design and Fabrication of Novel Single- and Dual-band Bandpass Filters with Modern Zero-Degree Feed Structure for Wireless Communications

In this paper, there are three novel bandpass filters (BPFs), consist of single- and dual-band, presented in a same size, which all the filters, have been designed, optimized and finally fabricated and measured, based on...

Improving Performance of Total Harmonic Distortion Based Fault Detection Scheme for Inverter Interfaced Islanded Microgrids

Global warming and environmental concerns have led to increasing penetration of converter interfaced renewable energy resources. One of the main challenges of inverter interfaced islanded microgrids is the fault detectio...

Condenser microphone with small size and high sensitivity Using a circular diaphragm with fixed center

In this paper, a new single-chip MEMS capacitor microphone on a silicon wafer by minimizing the size and the reduction of mechanical strength using a circular diaphragm with a fixed center is proposed. In the proposed mi...

Designing PSS and SVC Parameters simultaneously through the Improved Quantum Algorithm in the Multi-machine Power System

As to the importance of power system performance in terms of quality, and stability, through flexible AC transmission system (FACTS) devices in power networks and coordinating these devices through power system stabilize...

Download PDF file
  • EP ID EP327655
  • DOI -
  • Views 108
  • Downloads 0

How To Cite

Simin Jafari, Ali Reza Karimian (2015). A New Method for Segmentation of Multiple Sclerosis (MS) Lesions on Brain MR Images. روش های هوشمند در صنعت برق, 6(21), 21-30. https://europub.co.uk/articles/-A-327655