New multispectral MRI data fusion technique for white matter lesion segmentation: method and comparison with thresholding in FLAIR images.
Objective: Brain tissue segmentation by conventional threshold-based techniques may have limited accuracy and repeatability in older subjects. We present a new multispectral magnetic resonance (MR) image analysis approach for segmenting normal and abnormal brain tissue, including white matter lesion...
| Publicado en: | European Radiology Vol. 20; no. 7; pp. 1684 - 1692 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jul2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105025205&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105025205 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jul2010 vid: 20 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105025205 51242166 NLM20157814 2010681306 10.1007/s00330-010-1718-6 NLM20157814 PMC2882045 105025205 ppf: 1684 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: New multispectral MRI data fusion technique for white matter lesion segmentation: method and comparison with thresholding in FLAIR images. aug: au: Hernández Mdel C Ferguson KJ Chappell FM Wardlaw JM Hernández, Maria del C Valdés Ferguson, Karen J Chappell, Francesca M Wardlaw, Joanna M affil: SFC Brain Imaging Research Centre, SINAPSE Collaboration, Division of Clinical Neurosciences, School of Molecular and Clinical Medicine, University of Edinburgh, Edinburgh, UK sug: subj: Brain Neoplasms Radiography Brain Pathology Adolescence Adult Aged Aged, 80 and Over Brain Neoplasms Diagnosis Brain Neoplasms Pathology Female Human Image Processing, Computer Assisted Methods Magnetic Resonance Imaging Methods Male Middle Age Observer Bias Adolescent: 13-18 years Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female Male ab: Objective: Brain tissue segmentation by conventional threshold-based techniques may have limited accuracy and repeatability in older subjects. We present a new multispectral magnetic resonance (MR) image analysis approach for segmenting normal and abnormal brain tissue, including white matter lesions (WMLs).Methods: We modulated two 1.5T MR sequences in the red/green colour space and calculated the tissue volumes using minimum variance quantisation. We tested it on 14 subjects, mean age 73.3 +/- 10 years, representing the full range of WMLs and atrophy. We compared the results of WML segmentation with those using FLAIR-derived thresholds, examined the effect of sampling location, WML amount and field inhomogeneities, and tested observer reliability and accuracy.Results: FLAIR-derived thresholds were significantly affected by the location used to derive the threshold (P = 0.0004) and by WML volume (P = 0.0003), and had higher intra-rater variability than the multispectral technique (mean difference +/- SD: 759 +/- 733 versus 69 +/- 326 voxels respectively). The multispectral technique misclassified 16 times fewer WMLs.Conclusion: Initial testing suggests that the multispectral technique is highly reproducible and accurate with the potential to be applied to routinely collected clinical MRI data. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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