Automatic lesion detection and volume measurement in MR imaging of plexiform neurofibromas

Jeffrey Solomon, Brigitte Widemann, Kathy Warren, Frank Balis, Nicholas Patronas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Conventional response criteria (RECIST [1], WHO [2]) are inadequate for plexiform neurofibromas (PN) due to their size and complex shapes. An automated method was developed to detect and quantify the volume of PN on STIR MR images. The automated algorithm implements heuristics derived from human' based recognition of lesions (pixel intensity contrast and edge detection/following). A connected component analysis distinguishes multiple non-contiguous lesions and removes lesions considered too small, and an edge following algorithm defines the border of the lesion. This method was validated by two observers, who performed automated volume calculations and manual tracings to estimate tumor volume. The method was reproducible (C.V., 0.6% to 5.6%), and the inter-observer difference in the average tumor volume ranged from 6%±3.8 to -5.2%±5.4. The automated and manual methods of volume determination yielded similar results (R=0.999). The automated method will likely improve the reproducibility and sensitivity of response assessment in clinical trials for patients with PN.

Original languageEnglish (US)
Title of host publication2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings
PublisherIEEE Computer Society
Pages229-232
Number of pages4
ISBN (Electronic)078037584X
DOIs
StatePublished - 2002
EventIEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States
Duration: Jul 7 2002Jul 10 2002

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2002-January
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

OtherIEEE International Symposium on Biomedical Imaging, ISBI 2002
CountryUnited States
CityWashington
Period7/7/027/10/02

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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