Automated segmentation of MS lesions in brain MR images using localized trimmed-likelihood estimation

2013 ◽  
Author(s):  
Alfiia Galimzianova ◽  
Žiga Špiclin ◽  
Boštjan Likar ◽  
Franjo Pernuš
Keyword(s):  
Likelihood Estimation ◽  
Automated Segmentation ◽  
Mr Images ◽  
Brain Mr Images

Automated segmentation of brain MR images

1995 ◽  
Vol 28 (12) ◽  
pp. 1825-1837 ◽  
Author(s):  
C. Tsai ◽  
B.S. Manjunath ◽  
R. Jagadeesan
Keyword(s):  
Automated Segmentation ◽  
Mr Images ◽  
Brain Mr Images

scholarly journals Study of Automated Segmentation of the Cerebellum and Brainstem on Brain MR Images

2005 ◽  
Vol 61 (4) ◽  
pp. 499-505 ◽  
Author(s):  
NORIO HAYASHI ◽  
SHIGERU SANADA ◽  
MASAYUKI SUZUKI ◽  
YUKIHIRO MATSUURA
Keyword(s):  
Automated Segmentation ◽  
Mr Images ◽  
Brain Mr Images

Automated segmentation of multispectral brain MR images

2002 ◽  
Vol 122 (1) ◽  
pp. 13-23 ◽  
Author(s):  
Anders H. Andersen ◽  
Zhiming Zhang ◽  
Malcolm J. Avison ◽  
Don M. Gash
Keyword(s):  
Automated Segmentation ◽  
Mr Images ◽  
Brain Mr Images

scholarly journals Semi-automated Segmentation of a Glioblastoma Multiforme on Brain MR Images for Radiotherapy Planning

2010 ◽  
Vol 66 (4) ◽  
pp. 353-362 ◽  
Author(s):  
Daisuke Hori ◽  
Shigehiko Katsuragawa ◽  
Ryuuji Murakami ◽  
Toshinori Hirai
Keyword(s):  
Glioblastoma Multiforme ◽  
Radiotherapy Planning ◽  
Automated Segmentation ◽  
Mr Images ◽  
Brain Mr Images

Automated segmentation of human brain MR images using a multi-agent approach

2004 ◽  
Vol 30 (2) ◽  
pp. 153-176 ◽  
Author(s):  
Nathalie Richard ◽  
Michel Dojat ◽  
Catherine Garbay
Keyword(s):  
Human Brain ◽  
Automated Segmentation ◽  
Mr Images ◽  
Multi Agent ◽  
Brain Mr Images

Normal cerebral ventricular volume growth in childhood

2020 ◽  
Vol 26 (5) ◽  
pp. 517-524
Author(s):  
Noah S. Cutler ◽  
Sudharsan Srinivasan ◽  
Bryan L. Aaron ◽  
Sharath Kumar Anand ◽  
Michael S. Kang ◽  
...  
Keyword(s):  
Brain Mri ◽  
Volume Growth ◽  
Ventricular Volume ◽  
Growth Patterns ◽  
Diagnostic Process ◽  
Growth Charts ◽  
Normal Brain ◽  
Mr Images ◽  
Ventricular Volumes ◽  
Brain Mr Images

OBJECTIVENormal percentile growth charts for head circumference, length, and weight are well-established tools for clinicians to detect abnormal growth patterns. Currently, no standard exists for evaluating normal size or growth of cerebral ventricular volume. The current standard practice relies on clinical experience for a subjective assessment of cerebral ventricular size to determine whether a patient is outside the normal volume range. An improved definition of normal ventricular volumes would facilitate a more data-driven diagnostic process. The authors sought to develop a growth curve of cerebral ventricular volumes using a large number of normal pediatric brain MR images.METHODSThe authors performed a retrospective analysis of patients aged 0 to 18 years, who were evaluated at their institution between 2009 and 2016 with brain MRI performed for headaches, convulsions, or head injury. Patients were excluded for diagnoses of hydrocephalus, congenital brain malformations, intracranial hemorrhage, meningitis, or intracranial mass lesions established at any time during a 3- to 10-year follow-up. The volume of the cerebral ventricles for each T2-weighted MRI sequence was calculated with a custom semiautomated segmentation program written in MATLAB. Normal percentile curves were calculated using the lambda-mu-sigma smoothing method.RESULTSVentricular volume was calculated for 687 normal brain MR images obtained in 617 different patients. A chart with standardized growth curves was developed from this set of normal ventricular volumes representing the 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles. The charted data were binned by age at scan date by 3-month intervals for ages 0–1 year, 6-month intervals for ages 1–3 years, and 12-month intervals for ages 3–18 years. Additional percentile values were calculated for boys only and girls only.CONCLUSIONSThe authors developed centile estimation growth charts of normal 3D ventricular volumes measured on brain MRI for pediatric patients. These charts may serve as a quantitative clinical reference to help discern normal variance from pathologic ventriculomegaly.

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