Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

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Automated Segmentation of MR Images of Brain Tumors

Institution:
Surgical Planning Laboratory, Departments of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:
Radiology
Publication Date:
Feb-2001
Volume Number:
218
Issue Number:
2
Pages:
586-591
Citation:
Radiology. 2001 Feb;218(2):586-91.
PubMed ID:
11161183
Appears in Collections:
SPL, NAC, NCIGT, SLICER
Sponsors:
P41 RR013218/RR/NCRR NIH HHS/United States
P01 CA067165/CA/NCI NIH HHS/United States
R01 RR011747/RR/NCRR NIH HHS/United States
Generated Citation:
Kaus M.R., Warfield S.K., Nabavi A., Black P.M., Jolesz F.A., Kikinis R. Automated Segmentation of MR Images of Brain Tumors. Radiology. 2001 Feb;218(2):586-91. PMID: 11161183.
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An automated brain tumor segmentation method was developed and validated against manual segmentation with three-dimensional magnetic resonance images in 20 patients with meningiomas and low-grade gliomas. The automated method (operator time, 5-10 minutes) allowed rapid identification of brain and tumor tissue with an accuracy and reproducibility comparable to those of manual segmentation (operator time, 3-5 hours), making automated segmentation practical for low-grade gliomas and meningiomas. The automated tumor segmentation datasets are available to download.

Additional Material
1 File (393.86kB)
Kaus-Radiology2001-fig2.jpg (393.86kB)