کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
847694 909231 2016 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Patch-based segmentation using refined multifeature for magnetic resonance prostate images
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
Patch-based segmentation using refined multifeature for magnetic resonance prostate images
چکیده انگلیسی

In this paper, a new method is proposed for prostate segmentation in magnetic resonance (MR) images, which is an important step for image-guided brachytherapy system. Different from the conventional patch-based segmentation method, a multicharacter feature set is proposed within the range of statistical feature on voxel intensity, texture feature description, shape features, and spatial relation feature, to resolve the limitations of incomprehensive feature set. Furthermore, an Adaptive Boosting algorithm is used to refine these features in order to reduce the redundancy of features. Using the refined features, the patch-based segmentation framework has a better effect. The method is tested by 40 prostate MR images and compared with several classical image segmentation methods; the test and comparison results show that the proposed method consistently achieves higher segmentation accuracy.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 127, Issue 2, January 2016, Pages 732–737
نویسندگان
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