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分段常数模型为基础的牙本质小管内层析成像。

Piecewise-constant-model-based interior tomography applied to dentin tubules.

机构信息

The Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, China.

出版信息

Comput Math Methods Med. 2013;2013:892451. doi: 10.1155/2013/892451. Epub 2013 Feb 21.

Abstract

Dentin is a hierarchically structured biomineralized composite material, and dentin's tubules are difficult to study in situ. Nano-CT provides the requisite resolution, but the field of view typically contains only a few tubules. Using a plate-like specimen allows reconstruction of a volume containing specific tubules from a number of truncated projections typically collected over an angular range of about 140°, which is practically accessible. Classical computed tomography (CT) theory cannot exactly reconstruct an object only from truncated projections, needless to say a limited angular range. Recently, interior tomography was developed to reconstruct a region-of-interest (ROI) from truncated data in a theoretically exact fashion via the total variation (TV) minimization under the condition that the ROI is piecewise constant. In this paper, we employ a TV minimization interior tomography algorithm to reconstruct interior microstructures in dentin from truncated projections over a limited angular range. Compared to the filtered backprojection (FBP) reconstruction, our reconstruction method reduces noise and suppresses artifacts. Volume rendering confirms the merits of our method in terms of preserving the interior microstructure of the dentin specimen.

摘要

牙本质是一种具有层次结构的生物矿化复合材料,牙本质小管很难在原位进行研究。纳米计算机断层扫描提供了必要的分辨率,但视场通常只包含几个小管。使用板状标本,可以从通常在约 140°的角度范围内收集的多个截断投影中重建包含特定小管的体积,这在实际中是可行的。经典的计算机断层扫描(CT)理论不能仅从截断投影精确重建物体,更不用说有限的角度范围了。最近,内部层析成像技术发展起来,通过在 ROI 是分段常数的条件下通过总变差(TV)最小化,从截断数据中以理论上精确的方式重建感兴趣区域(ROI)。在本文中,我们采用 TV 最小化内部层析成像算法,从有限角度范围内的截断投影中重建牙本质内部微观结构。与滤波反投影(FBP)重建相比,我们的重建方法减少了噪声并抑制了伪影。体绘制证实了我们的方法在保留牙本质标本内部微观结构方面的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3960/3594914/5fab46fbfcfa/CMMM2013-892451.001.jpg

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