Fully automatic segmentation of white matter hyperintensities in MR images of the elderly

Admiraal-Behloul, Faiza; Heuvel, D.M.J. van den; Olofsen, Hans; Osch, Matthias J.P. van; Grond, Jeroen van der; Buchem, Mark A. van; Reiber, Johan H. C.

doi:10.1016/j.neuroimage.2005.06.061

Cited by 216 publications

(185 citation statements)

References 54 publications

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“…However, semi-automated methods are still labor intensive and time consuming and require well-trained analysts. Fully automated quantification methods of WMLs are not yet optimal either since manual correction is needed to improve accuracy (72,73). Although some semi-automated methods include sub-segmentation of PVWML and DWML using distance from the ventricular surface (5,29), sub-segmentation has not yet been included in fully automated methods.…”

Section: Volumetric and Quantitative Scoring Of Wmlsmentioning

confidence: 99%

Classification of White Matter Lesions on Magnetic Resonance Imaging in Elderly Persons

Kim

MacFall

Payne

2008

Biological Psychiatry

430

415

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White matter lesions, commonly seen on magnetic resonance images of elderly people, are related to various geriatric disorders including cerebrovascular diseases, cardiovascular diseases, dementia, and psychiatric disorders. Currently, white matter lesions are divided into periventricular white matter lesions and deep white matter lesions. Although the meaning of these terms vary by study and this dichotomization itself is still in debate, a possible dissimilarity in pathogenic mechanisms between periventricular white matter lesions and deep white matter lesions are providing some clues for understanding pathophysiology of many geriatric syndromes associated with white matter lesions.We have reviewed the distinctions between periventricular white matter lesions and deep white matter lesions in terms of etiology, histopathology, functional correlates, and imaging methodologies. We suggest a new sub-classification of white matter lesions which may have better etiological and functional relevance than the current simple dichotomization. The new categories are juxtaventricular, periventricular, deep white, and juxtacortical. This new classification scheme may contribute to reducing the heterogeneity of white matter lesion findings in future research.

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Section: Volumetric and Quantitative Scoring Of Wmlsmentioning

confidence: 99%

Classification of White Matter Lesions on Magnetic Resonance Imaging in Elderly Persons

Kim

MacFall

Payne

2008

Biological Psychiatry

430

415

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“…The MTI data were transferred to an offline workstation and segmented using Software for Neuro Image Processing in Experimental Research (SNIPER) as described previously (15) (Fig. 1).…”

Section: Image Processingmentioning

confidence: 99%

Detection of change in CNS involvement in neuropsychiatric SLE: A magnetization transfer study

Emmer

Steens

Steup-Beekman

et al. 2006

Magnetic Resonance Imaging

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Purpose: To assess whether magnetization transfer imaging (MTI) parameters change in correspondence with clinical changes in NPSLE patients. Materials and Methods:Nineteen female patients (mean age ϭ 37.5 years, range ϭ 19 -64) underwent MTI on at least two separate occasions (mean time between scans ϭ 25.4 months, range ϭ 5.4 -52.3 months). Twenty-four pairs of scans of 19 patients were available. Each patient's clinical course was classified as improved, stable, or deteriorated. Whole-brain magnetization transfer ratio (MTR) histograms were generated. The peak height of these histograms was used as an estimate of parenchymal integrity. Based on the change in clinical status, paired examinations were grouped and tested for significant differences between the first and second examinations using paired-samples t-tests. Results:Four patients clinically deteriorated, all patients showed a significant peak height decrease (mean decrease ϭ 8.6%, P ϭ 0.02), and in 14 patients with stable disease the peak height did not change significantly (mean increase ϭ 0.4%). Six patients clinically improved, and all showed a significant relative peak height increase (mean increase ϭ 12.0%, P ϭ 0.02). Conclusion:The peak height of whole-brain MTR histograms corresponds to changes in the clinical status of individual NPSLE patients. This suggests that MTI can be a valuable tool in the clinical assessment of such patients.

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“…Intragastric air and contents were identified and outlined manually in all images using an in-house made interactive software tool (13). All images were reanalyzed as the interactive software tool used to determine in vitro volumes was different from the software tool used in our previous publication (10).…”

Section: Discussionmentioning

confidence: 99%

Gastric volume changes in response to a meal: Validation of magnetic resonance imaging versus the barostat

Haans

Zwart

Eilers

et al. 2011

Magnetic Resonance Imaging

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Purpose: To determine the accuracy of magnetic resonance imaging (MRI) volume scans: 1) to measure known meal volumes in vitro, and 2) to compare volume changes in response to a meal measured with the barostat with those measured with MRI in vivo.Materials and Methods: Polyethylene bags were filled with known volumes and MRI volume scans were performed to determine the accuracy of the volume measurements. Barostat measurements and MRI volume scans were performed simultaneously in 14 healthy subjects before and up to 90 minutes after ingestion of a liquid meal.Results: In vitro MRI-determined volumes showed an excellent linear relationship (r ¼ 0.995, P < 0.001) with actual meal volumes. Although fasting gastric volume, postprandial gastric volume, and relaxation volume measured with MRI were significantly larger compared to volumes measured with the barostat, volumes determined with both techniques showed excellent correlation.

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Fully automatic segmentation of white matter hyperintensities in MR images of the elderly

Cited by 216 publications

References 54 publications

Classification of White Matter Lesions on Magnetic Resonance Imaging in Elderly Persons

Classification of White Matter Lesions on Magnetic Resonance Imaging in Elderly Persons

Detection of change in CNS involvement in neuropsychiatric SLE: A magnetization transfer study

Gastric volume changes in response to a meal: Validation of magnetic resonance imaging versus the barostat

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