Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans

Freeborough, Peter A.; Fox, Nick C.; Kitney, R.I.

doi:10.1016/s0169-2607(97)01803-8

Cited by 258 publications

(190 citation statements)

References 15 publications

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“…edu/ADNI/) and transferred onto multiprocessor Intel Xeon-based workstations running 32-bit Linux. The image viewing and analysis software MIDAS [22] was used for whole-brain and ventricular semi-automated segmentation. Baseline whole-brain segmentation involved a semi-automated technique with manual checking and editing as necessary [22].…”

Section: Subject Recruitment and Assessmentmentioning

confidence: 99%

“…The image viewing and analysis software MIDAS [22] was used for whole-brain and ventricular semi-automated segmentation. Baseline whole-brain segmentation involved a semi-automated technique with manual checking and editing as necessary [22]. The intra-class correlation coefficient for inter-rater reliability (ICC) was greater than 0.99 calculated from 11 people segmenting five subjects' MR data.…”

Section: Subject Recruitment and Assessmentmentioning

confidence: 99%

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Volume changes in Alzheimer’s disease and mild cognitive impairment: cognitive associations

et al. 2009

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Objective: To assess the relationship between MRI-derived changes in whole-brain and ventricular volume with change in cognitive scores in Alzheimer's disease (AD), mild cognitive impairment (MCI) and control subjects. Material and methods: In total 131 control, 231 MCI and 99 AD subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort with T1-weighted volumetric MRIs from baseline and 12-month follow-up were used to derive volume changes. Mini mental state examination (MMSE), Alzheimer's disease assessment scale (ADAS)-cog and trails test changes were calculated over the same period. Results: Brain atrophy rates and ventricular enlargement differed between subject groups (p<0.0005) and in MCI and AD were associated with MMSE changes. Both measures were additionally associated with ADAS-cog and trails-B in MCI patients, and ventricular expansion was associated with ADAS-cog in AD patients. Brain atrophy (p<0.0005) and ventricular expansion rates (p=0.001) were higher in MCI subjects who progressed to AD within 12 months of follow-up compared with MCI subjects who remained stable. MCI subjects who progressed to AD within 12 months had similar atrophy rates to AD subjects. Conclusion: Whole-brain atrophy rates and ventricular enlargement differed between patient groups and healthy controls, and tracked disease progression and psychological decline, demonstrating their relevance as biomarkers.

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Section: Subject Recruitment and Assessmentmentioning

confidence: 99%

Section: Subject Recruitment and Assessmentmentioning

confidence: 99%

Volume changes in Alzheimer’s disease and mild cognitive impairment: cognitive associations

et al. 2009

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“…Registration is an automated procedure which often requires little operator intervention; in this particular study, brain to brain registration was performed using an automated registration technique [22]. This involved semiautomated segmentation of the brain regions prior to registration [26] taking approximately 10 min per scan. Such processing may be unnecessary to achieve registration of sufficient quality for reviewing serial images.…”

Section: Discussionmentioning

confidence: 99%

Does registration of serial MRI improve diagnosis of dementia?

et al. 2010

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Introduction We aimed to assess the value of a second MR scan in the radiological diagnosis of dementia. Methods One hundred twenty subjects with clinical followup of at least 1 year with two scans were selected from a cognitive disorders clinic. Scans were reviewed as a single first scan (method A), two unregistered scans presented sideby-side (method B) and a registered pair (method C). Scans were presented to two neuroradiologists and a clinician together with approximate scan interval (if applicable) and age. Raters decided on a main and subtype diagnosis. Results There was no evidence that differences between methods (expressed as relative odds of a correct response) differed between reviewers (p = 0.17 for degenerative condition or not, p=0.5 for main diagnosis, p=0.16 for subtype). Accordingly, results were pooled over reviewers.For distinguishing normal/non-progressors from degenerative conditions, the proportions correctly diagnosed were higher with methods B and C than with A (p=0.001, both tests). The difference between method B and C was not statistically significant (p=0.18). For main diagnosis, the proportion of correct diagnoses were highest with method C for all three reviewers; however, this was not statistically significant comparing with method A (p=0.23) or with method B (p=0.16). For subtype diagnosis, there was some evidence that method C was better than method A (p=0.01) and B (p=0.048).Conclusions Serial MRI and registration may improve visual diagnosis in dementia.

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“…Imaging was performed on a 1.5T GE Signa Unit (General Electric Medical Systems, Milwaukee, WI) yielding 124 contiguous 1.5mm thick slices, with in-plane resolution of 128*256. All manual segmentation was performed using the MIDAS software package 4 . A rigid-body 9 degrees of freedom registration was performed on all repeat scans.…”

Section: Methodsmentioning

confidence: 99%

Automated Hippocampal Segmentation by Regional Fluid Registration of Serial MRI: Validation and Application in Alzheimer.s Disease

Scahill

Crum

Fox

2001

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001

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Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans

Cited by 258 publications

References 15 publications

Volume changes in Alzheimer’s disease and mild cognitive impairment: cognitive associations

Volume changes in Alzheimer’s disease and mild cognitive impairment: cognitive associations

Does registration of serial MRI improve diagnosis of dementia?

Automated Hippocampal Segmentation by Regional Fluid Registration of Serial MRI: Validation and Application in Alzheimer.s Disease

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