Rehm Kelly, Schaper Kirt, Anderson Jon, Woods Roger, Stoltzner Sarah, Rottenberg David
Department of Radiology, University of Minnesota, Minneapolis, MN 55417-2309, USA.
Neuroimage. 2004 Jul;22(3):1262-70. doi: 10.1016/j.neuroimage.2004.03.011.
We describe an approach to brain extraction from T1-weighted MR volumes that uses a hierarchy of masks created by different models to form a consensus mask. The algorithm (McStrip) incorporates atlas-based extraction via nonlinear warping, intensity-threshold masking with connectivity constraints, and edge-based masking with morphological operations. Volume and boundary metrics were computed to evaluate the reproducibility and accuracy of McStrip against manual brain extraction on 38 scans from normal and ataxic subjects. McStrip masks were reproducible across six repeat scans of a normal subject and were significantly more accurate than the masks produced by any of the individual algorithmic components.
我们描述了一种从T1加权磁共振（MR）容积中提取脑区的方法，该方法使用由不同模型创建的一系列掩码来形成一个一致性掩码。该算法（McStrip）通过非线性变形合并基于图谱的提取、具有连通性约束的强度阈值掩码以及具有形态学操作的基于边缘的掩码。计算了容积和边界指标，以评估McStrip相对于正常和共济失调受试者的38次扫描手动脑提取的可重复性和准确性。McStrip掩码在正常受试者的六次重复扫描中具有可重复性，并且比任何单个算法组件生成的掩码都要准确得多。
