کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
526438 | 869114 | 2008 | 14 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Limited view CT reconstruction and segmentation via constrained metric labeling Limited view CT reconstruction and segmentation via constrained metric labeling](/preview/png/526438.png)
This paper proposes a new discrete optimization framework for tomographic reconstruction and segmentation of CT volumes when only a few projection views are available. The problem has important clinical applications in coronary angiographic imaging. We first show that the limited view reconstruction and segmentation problem can be formulated as a ‘constrained’ version of the metric labeling problem. This lays the groundwork for a linear programming framework that brings metric labeling classification and classical algebraic tomographic reconstruction (ART) together in a unified model. If the imaged volume is known to be comprised of a finite set of attenuation coefficients (a realistic assumption), given a regular limited view reconstruction, we view it as a task of voxels reassignment subject to maximally maintaining consistency with the input reconstruction and the objective of ART simultaneously. The approach can reliably reconstruct (or segment) volumes with several multiple contrast objects. We present evaluations using experiments on cone beam computed tomography.
Journal: Computer Vision and Image Understanding - Volume 112, Issue 1, October 2008, Pages 67–80