一种无标记平铺法在不完全匹配图像上跟踪肺肿瘤的日常运动

Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2014-05-27 DOI:10.1145/2674396.2674438

T. Rozario, S. Bereg, W. Mao

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引用次数: 1

摘要

为了在没有内部标记的投影图像上定位肺肿瘤，我们创建了数字重建x线图(DRR)，并与投影图像进行比较。由于肺肿瘤在投影图像上是静态的，而在投影图像上是移动的，其位置会发生变化，因此基于修改后的解剖结构生成一种特殊的DRR(背景DRR)，并从中移除肺肿瘤。此外，DRRs和投影之间由于图像方向、散射和噪声的不同而存在全局差异。这对比较准确性有不利影响。本文报道了一种简单而有效的比较算法来匹配不完全匹配的投影图像和drr。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A markerless tiling method for tracking daily lung tumor motion on imperfectly matched images

In order to locate lung tumors on projection images without internal markers, digitally reconstructed radiograph (DRR) is created and compared with projection images. Since lung tumors always move and their locations change on projection images while they are static on DRRs, a special DRR (background DRR) is generated based on modified anatomy from which lung tumors are removed. In addition, global discrepancies exist between DRRs and projections due to their different image orientations, scattering, and noises. This adversely affects comparison accuracy. A simple but efficient comparison algorithm is reported to match imperfectly matched projection images and DRRs.

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Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

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