کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
870815 910027 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Bayesian estimation of probabilistic atlas for tissue segmentation
ترجمه فارسی عنوان
برآورد بیزی برآورد احتمالاتی برای تقسیم بندی بافت
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی پزشکی
چکیده انگلیسی

Automatic anatomical brain image segmentation is still a challenge. In particular, algorithms have to address the partial volume effect (PVE) as well as the variability of the gray level of internal brain structures which may appear closer to gray matter (GM) than white matter (WM). Atlas based segmentation is one solution as it brings prior information. For such tasks, probabilistic atlases are very useful as they take account of the PVE information. In this paper, we provide a detailed analysis of a generative statistical model based on dense deformable templates that represents several tissue types observed in medical images. The inputs are gray level data whereas our atlas is composed of both an estimation of the deformation metric and probability maps of each tissue (called class). This atlas is used to guide the tissue segmentation of new images. Experiments are shown on brain T1 MRI datasets. This method only requires approximate pre-registration, as the latter is done jointly with the segmentation. Note however that an approximate registration is a reasonable pre-requisite given the application.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IRBM - Volume 35, Issue 1, February 2014, Pages 27–32
نویسندگان
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