Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features
文献类型：期刊论文
| 作者 | Weimin Zhengc |
| 刊名 | SCIENTIFIC WORLD JOURNAL
 |
| 出版日期 | 2012 |
| 英文摘要 | A novel deformable registration algorithm is proposed in the application of radiation therapy. The algorithm starts with autodetection of a number of points with distinct tissue features. The feature points are then matched by using the scale invariance features transform (SIFT) method. The associated feature point pairs are served as landmarks for the subsequent thin plate spline (TPS) interpolation. Several registration experiments using both digital phantom and clinical data demonstrate the accuracy and efficiency of the method. For the 3D phantom case, markers with error less than 2 mm are over 85% of total test markers, and it takes only 2-3 minutes for 3D feature points association. The proposed method provides a clinically practical solution and should be valuable for various image-guided radiation therapy (IGRT) applications. |
| 收录类别 | SCI |
| 原文出处 | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329884/ |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4006]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | SCIENTIFIC WORLD JOURNAL |
| 推荐引用方式 GB/T 7714 | Weimin Zhengc. Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features[J]. SCIENTIFIC WORLD JOURNAL,2012. |
| APA | Weimin Zhengc.(2012).Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features.SCIENTIFIC WORLD JOURNAL. |
| MLA | Weimin Zhengc."Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features".SCIENTIFIC WORLD JOURNAL (2012). |
入库方式： OAI收割
来源：深圳先进技术研究院
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