Watershed based Detection of Multiple Sclerosis Lesions in MR Images
نویسندگان
چکیده
In this work an automatic method to discover multiple sclerosis (MS) lesions is presented. The technique makes use of an original implementation of the watershed based hierarchical segmentation algorithm applied to Magnetic Resonance (MR) images of the brain. The hierarchical approach is needed because of its merging phase where lesions are isolated from the over-segmented image produced by watersheds. Segmentation is preceded by a dedicated pre-processing stage aimed to eliminate noise and to locate the brain mass. The algorithm has been successfully applied to DICOM images obtained from MR devices using very different field strength and acquisition parameters.
منابع مشابه
Automated Detection of Multiple Sclerosis Lesions Using Texture-based Features and a Hybrid Classifier
Background: Multiple Sclerosis (MS) is the most frequent non-traumatic neurological disease capable of causing disability in young adults. Detection of MS lesions with magnetic resonance imaging (MRI) is the most common technique. However, manual interpretation of vast amounts of data is often tedious and error-prone. Furthermore, changes in lesions are often subtle and extremely unrepresentati...
متن کاملThe Optimization of Magnetic Resonance Imaging Pulse Sequences in Order to Better Detection of Multiple Sclerosis Plaques
Background and objective: Magnetic resonance imaging (MRI) is the most sensitive technique to detect multiple sclerosis (MS) plaques in central nervous system. In some cases, the patients who were suspected to MS, Whereas MRI images are normal, but whether patients don’t have MS plaques or MRI images are not enough optimized enough in order to show MS plaques? The aim of the current study is ...
متن کاملThe evolution of multiple sclerosis lesions on serial MR.
PURPOSE To characterize temporal changes in signal intensity patterns of multiple sclerosis lesions on serial MR. METHODS T1-, T2-, proton density-, and contrast-enhanced T1-weighted MR was performed on five patients with relapsing-remitting multiple sclerosis at least 22 times in the course of 1 year. RESULTS Forty-three enhancing lesions and 1 new lesion that never showed enhancement were...
متن کاملNeural Network-Based Learning Kernel for Automatic Segmentation of Multiple Sclerosis Lesions on Magnetic Resonance Images
Background: Multiple Sclerosis (MS) is a degenerative disease of central nervous system. MS patients have some dead tissues in their brains called MS lesions. MRI is an imaging technique sensitive to soft tissues such as brain that shows MS lesions as hyper-intense or hypo-intense signals. Since manual segmentation of these lesions is a laborious and time consuming task, automatic segmentation ...
متن کاملComparison of MR pulse sequences in the detection of multiple sclerosis lesions.
PURPOSE To compare the sensitivity of conventional spin-echo, fast spin-echo, fast fluid-attenuated inversion recovery (FLAIR), and turbo gradient spin-echo MR sequences in the detection of multiple sclerosis lesions. METHODS Conventional spin-echo, fast spin-echo, fast FLAIR, and turbo gradient spin-echo sequences were performed on a 1.0-T MR imager in seven patients with clinically definite...
متن کامل