期刊
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
卷 28, 期 5, 页码 257-265出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compmedimag.2004.03.002
关键词
image processing; volumetric analysis; edge detection; histogram; neurofibromatosis 1; plexiform neurofibromas
An automated technique for segmentation and volumetric measurement of plexiform neurofibromas (PN) in neurofibromatosis I using short T1-inversion recovery magnetic resonance images is presented. The algorithm described implements heuristics derived from human-based recognition of lesions. This technique combines region-based with boundary-based segmentation. Two observers, who performed semi-automated volume calculations and manual tracings to estimate tumor volume, validated this method on 9 PNs of different size and location. This automated method was reproducible (coefficient of variation 0.6-5.6%), yielded similar results to manual tumor tracings (R = 0.999), and will likely improve the ability to measure PNs in ongoing clinical trials. (C) 2004 Elsevier Ltd. All rights reserved.
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