Automated segmentation of MR images of brain tumors

M R Kaus; S K Warfield; A Nabavi; P M Black; F A Jolesz; R Kikinis

doi:10.1148/radiology.218.2.r01fe44586

Automated segmentation of MR images of brain tumors

Radiology. 2001 Feb;218(2):586-91. doi: 10.1148/radiology.218.2.r01fe44586.

Authors

M R Kaus¹, S K Warfield, A Nabavi, P M Black, F A Jolesz, R Kikinis

Affiliation

¹ Surgical Planning Laboratory, Depts of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115, USA.

PMID: 11161183
DOI: 10.1148/radiology.218.2.r01fe44586

Abstract

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.

Publication types

Comparative Study
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.

MeSH terms

Brain / pathology*
Brain Neoplasms / pathology*
Glioma / pathology*
Humans
Imaging, Three-Dimensional*
Magnetic Resonance Imaging*
Meningeal Neoplasms / pathology*
Meningioma / pathology*
Observer Variation
Reproducibility of Results

Abstract

Publication types

MeSH terms

Grants and funding