کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3074055 1188860 2006 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
چکیده انگلیسی

Active contour segmentation and its robust implementation using level set methods are well-established theoretical approaches that have been studied thoroughly in the image analysis literature. Despite the existence of these powerful segmentation methods, the needs of clinical research continue to be fulfilled, to a large extent, using slice-by-slice manual tracing. To bridge the gap between methodological advances and clinical routine, we developed an open source application called ITK-SNAP, which is intended to make level set segmentation easily accessible to a wide range of users, including those with little or no mathematical expertise. This paper describes the methods and software engineering philosophy behind this new tool and provides the results of validation experiments performed in the context of an ongoing child autism neuroimaging study. The validation establishes SNAP intrarater and interrater reliability and overlap error statistics for the caudate nucleus and finds that SNAP is a highly reliable and efficient alternative to manual tracing. Analogous results for lateral ventricle segmentation are provided.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 31, Issue 3, 1 July 2006, Pages 1116–1128
نویسندگان
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