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A skull stripping method using deformable surface and tissue classification

Xiaodong Tao, Ming-Ching Chang, Benoit M. Dawant, David R. Haynor
2010 Medical Imaging 2010: Image Processing  
Because of the bias field correction and tissue classification, the proposed algorithm depends less on particular imaging contrast and is robust to inhomogeneous intensity often observed in magnetic resonance  ...  We then perform a fuzzy tissue classification with bias field correction within the surface. Tissue classification and bias field are extrapolated to the entire image.  ...  This work is also supported by Grant R01 EB006733 from the National Institute of Biomedical Imaging and Bioengineering , National Institutes of Health, through the University of North Carolina, Chapel  ... 
doi:10.1117/12.844061 dblp:conf/miip/TaoC10 fatcat:g2wzjedhhvfblfv5ktk4eu6rby

Computer-Aided Detection of Metastatic Brain Tumors Using Magnetic Resonance Black-Blood Imaging

Seungwook Yang, Yoonho Nam, Min-Oh Kim, Eung Yeop Kim, Jaeseok Park, Dong-Hyun Kim
2013 Investigative Radiology  
Materials and Methods: Twenty-six patients with brain metastases were imaged with a contrast-enhanced, 3-dimensional, whole-brain magnetic resonance black-blood pulse sequence.  ...  Objectives: The objective of this study was to develop a computer-aided detection system for automated brain metastases detection using magnetic resonance black-blood imaging and compare its applicability  ...  The sizes of the confirmed metastases varied from 1 to 6 mm in diameter (mean, 3.8 mm; median, 2 mm). field inhomogeneity correction, brain extraction, normalized crosscorrelation coefficient (NCCC) template  ... 
doi:10.1097/rli.0b013e318277f078 pmid:23211553 fatcat:t2vxm5zysbcfzghrnball2cxde

Functional MRI of the human brain with GRASE-based BOLD contrast

Jorge Jovicich, David G. Norris
1999 Magnetic Resonance in Medicine  
The application of T 2 *-weighted gradient and spin-echo (GRASE) imaging was investigated as a method for blood oxygenation level-dependent (BOLD)-based functional magnetic resonance imaging (fMRI).  ...  The method was demonstrated at 3 T and gave robust and reproducible activationinduced signal changes. Magn Reson Med 41:871-876, 1999. 1999 Wiley-Liss, Inc.  ...  However, EPI suffers from image distortions and signal loss due to magnetic field susceptibility effects as well as poor spatial resolution in single-shot images, particularly at high main field strengths  ... 
doi:10.1002/(sici)1522-2594(199905)41:5<871::aid-mrm3>3.0.co;2-o pmid:10332867 fatcat:lcqkfobpsfb7xpgmu752ay4cxa

Multicontext wavelet-based thresholding segmentation of brain tissues in magnetic resonance images

Zhenyu Zhou, Zongcai Ruan
2007 Magnetic Resonance Imaging  
A novel segmentation method based on wavelet transform is presented for gray matter, white matter and cerebrospinal fluid in thin-sliced single-channel brain magnetic resonance (MR) scans.  ...  The result of the experiment indicates that MCWT outperforms other traditional segmentation methods in classifying brain MR images. D  ...  Introduction Magnetic resonance (MR) imaging is an advanced medical technology in brain anatomy research.  ... 
doi:10.1016/j.mri.2006.09.001 pmid:17371728 fatcat:5m2vg43slnb2hdux7fckxxo42a

Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy

Xingchang Wei, Simon K. Warfield, Kelly H. Zou, Ying Wu, Xiaoming Li, Alexandre Guimond, John P. Mugler, Randall R. Benson, Leslie Wolfson, Howard L. Weiner, Charles R.G. Guttmann
2002 Journal of Magnetic Resonance Imaging  
Purpose: To assess the reproducibility and accuracy compared to radiologists of three automated segmentation pipelines for quantitative magnetic resonance imaging (MRI) measurement of brain white matter  ...  Materials and Methods: WMSA segmentation was performed on pairs of whole brain scans from 20 patients with multiple sclerosis (MS) and 10 older subjects who were positioned and imaged twice within 30 minutes  ...  of the template brain to the ventricles of the subjects' brain.  ... 
doi:10.1002/jmri.10053 pmid:11836778 fatcat:36usazc3prdmhk26f5uyj2usp4

Markov random field segmentation of brain MR images

K. Held, E.R. Kops, B.J. Krause, W.M. Wells, R. Kikinis, H.-W. Muller-Gartner
1997 IEEE Transactions on Medical Imaging  
Keywords: Magnetic Resonance Imaging, Segmentation, Markov Random Fields  ...  We describe a fully-automatic 3D-segmentation technique for brain MR images.  ...  ACKNOWLEDGMENT The authors would like to thank S. Posse, H. Herzog, and L. Tellmann for their advice and technical assistance. They would also like to thank J.  ... 
doi:10.1109/42.650883 pmid:9533587 fatcat:ullbj73mbbabhc7y24snla7n34

Simulated Field Maps: Toward Improved Susceptibility Artefact Correction in Interventional MRI [chapter]

Martin Kochan, Pankaj Daga, Ninon Burgos, Mark White, M. Jorge Cardoso, Laura Mancini, Gavin P. Winston, Andrew W. McEvoy, John Thornton, Tarek Yousry, John S. Duncan, Danail Stoyanov (+1 others)
2014 Lecture Notes in Computer Science  
In this paper, we propose a novel method for simulating main magnetic field inhomogeneity maps during intraoperative MRI-guided neurosurgery.  ...  Our method relies on an air-tissue segmentation of intraoperative patient specific data, which is used as an input to a subsequent field simulation step.  ...  Unit (Dementia) at UCL and the National Institute for Health Research University College London Hospitals Biomedical Research Centre (NIHR BRC UCLH/UCL High Impact Initiative).  ... 
doi:10.1007/978-3-319-07521-1_24 fatcat:tzp2vej2fjck7kxudk6ctwq3fa

Deformable Atlases for the Segmentation of Internal Brain Nuclei in Magnetic Resonance Imaging

Marius George Linguraru, Miguel Ángel González Ballester, Nicholas Ayache
2007 International Journal of Computers Communications & Control  
Magnetic resonance imaging (MRI) is commonly employed for the depiction of soft tissues, most notably the human brain.  ...  Results show that detecting important structures such as the ventricles and brain outlines greatly improves the results. Our method is fully automatic.  ...  Introduction The advent of medical imaging modalities such as Xray, ultrasound, computed tomography (CT) and magnetic resonance imaging (MRI) has greatly improved the diagnosis of various human diseases  ... 
doi:10.15837/ijccc.2007.1.2333 fatcat:7c3zf7epqfba3lr6duln7goeaa

Contrast enhancement by combining T1- and T2-weighted structural brain MR Images

Masaya Misaki, Jonathan Savitz, Vadim Zotev, Raquel Phillips, Han Yuan, Kymberly D. Young, Wayne C. Drevets, Jerzy Bodurka
2014 Magnetic Resonance in Medicine  
(T2w) magnetic resonance imaging (MRI) images was developed.  ...  Results-The combined image significantly improved homogeneity in the white and gray matter compared to the T1w images alone.  ...  If SNR is high enough with a single image and bias field is a major source of inhomogeneity, averaging two images would not substantially help to improve homogeneity.  ... 
doi:10.1002/mrm.25560 pmid:25533337 pmcid:PMC4476954 fatcat:xjzzt2kzyzhfrllbl4ktofsg7u

Automatic Segmentation of Neonatal Brain MRI [chapter]

Marcel Prastawa, John Gilmore, Weili Lin, Guido Gerig
2004 Lecture Notes in Computer Science  
Preliminary results show that the method is able to segment the major brain structures, identifying early myelination regions and non-myelinated regions.  ...  Our method makes use of a registered probabilistic brain atlas to select training samples and to be used as a spatial prior.  ...  (http://www.itk.org) for providing the software framework for the segmentation algorithm.  ... 
doi:10.1007/978-3-540-30135-6_2 fatcat:eb2kipghnrbsfin4fonp5eoqla

Method for bias field correction of brain T1-weighted magnetic resonance images minimizing segmentation error

Juan D. Gispert, Santiago Reig, Javier Pascau, Juan J. Vaquero, Pedro García-Barreno, Manuel Desco
2004 Human Brain Mapping  
The bias field and a bias-free image are obtained through an iterative process that uses brain tissue segmentation.  ...  NIC performed similar to previously described methods in removing the bias field from phantom images, without introduction of degradation in the absence of intensity inhomogeneity.  ...  INTRODUCTION Segmentation of magnetic resonance (MR) images is a fundamental procedure for the quantitative study of different brain pathologies such as multiple sclerosis , Alzheimer's disease , or schizophrenia  ... 
doi:10.1002/hbm.20013 pmid:15108301 fatcat:hhux7fsoene6ppn376dtms6oma

Neuroelectromagnetic Forward Head Modeling Toolbox

Zeynep Akalin Acar, Scott Makeig
2010 Journal of Neuroscience Methods  
The NFT includes tools for segmenting scalp, skull, cerebrospinal fluid (CSF) and brain tissues from T1-weighted magnetic resonance (MR) images.  ...  When a subject MR image is not available, a template head model can be warped to measured electrode locations to obtain an individualized head model.  ...  This work was supported by gifts from the Swartz Foundation (Old Field, NY) and by NIH/NINDS (NS047293-04).  ... 
doi:10.1016/j.jneumeth.2010.04.031 pmid:20457183 pmcid:PMC4126205 fatcat:sxp2owzosjcllptmbad7fibxw4

Current Methods in the Automatic Tissue Segmentation of 3D Magnetic Resonance Brain Images

Alan Liew, Hong Yan
2006 Current Medical Imaging Reviews  
Accurate segmentation of magnetic resonance (MR) images of the brain is of interest in the study of many brain disorders.  ...  In this paper, we provide a review of some of the current approaches in the tissue segmentation of MR brain images.  ...  MAGNETIC RESONANCE IMAGING Magnetic resonance imaging is an imaging technique used primarily in medical settings to produce high quality images of the inside of the human body.  ... 
doi:10.2174/157340506775541604 fatcat:4j3wrjbyfffudhpesjptxe4jbu

Silent myelin-weighted magnetic resonance imaging

Tobias C. Wood, Nikou L. Damestani, Andrew J. Lawrence, Emil Ljungberg, Gareth J. Barker, Ana Beatriz Solana, Florian Wiesinger, Steven C.R. Williams
2020 Wellcome Open Research  
Inhomogeneous Magnetization Transfer (ihMT) is an emerging, uniquely myelin-specific magnetic resonance imaging (MRI) contrast.  ...  Methods: A Magnetization Transfer preparation module was incorporated into a radial Zero Echo-Time sequence.  ...  Fortuitously, myelin displays multiple physical properties that give rise to contrast in Magnetic Resonance (MR) images.  ... 
doi:10.12688/wellcomeopenres.15845.1 pmid:32832700 pmcid:PMC7431975 fatcat:o4x4kqlhwfbnjmtb2ieybn6tui

Quantitative Evaluation of Intensity Inhomogeneity Correction Methods for Structural MR Brain Images

Marco Ganzetti, Nicole Wenderoth, Dante Mantini
2015 Neuroinformatics  
The correction of intensity non-uniformity (INU) in magnetic resonance (MR) images is extremely important to ensure both within-subject and across-subject reliability.  ...  We used simulated data to assess the INU fields reconstructed by those methods for controlled inhomogeneity magnitudes and noise levels.  ...  the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s12021-015-9277-2 pmid:26306865 pmcid:PMC4706843 fatcat:i7djtxasdncfhi4sbvqsvzqvoy
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