کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
504496 864310 2008 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Histogram partition and interval thresholding for volumetric breast tissue segmentation
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Histogram partition and interval thresholding for volumetric breast tissue segmentation
چکیده انگلیسی

It is possible to automatically decompose a volume into subvolumes based on histogram partition and interval thresholding. In practice, a histogram may assume unimodal or multimodal distributions. In this paper, we implement an automatic volumetric segmentation scheme by partitioning a histogram into intervals followed by interval thresholding. Based on its distribution shape, the histogram is partitioned by either a valley-seeking algorithm (for multimodal) or a five-subinterval algorithm (for unimodal). Applied to volumetric breast analysis, this technique decomposes a breast volume into five subvolumes corresponding to five intensity subintervals: lower (air bubble), low (fat), middle (normal tissue, or parenchyma), high (glandular duct), higher (calcification), in the order of X-ray attenuation value. With the assumption that each subvolume resulting from interval thresholding corresponds to a tissue type, the spatial structure of each breast tissue type can be individually visualized and analyzed in a subvolume in an ample space (as big as the whole volume) in the absence of other tissue types. We demonstrate this histogram-partitioned interval thresholding segmentation method with one breast phantom and one breast surgical specimen that are volumetrically reconstructed by cone-beam tomography.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computerized Medical Imaging and Graphics - Volume 32, Issue 1, January 2008, Pages 1–10
نویسندگان
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