.png){kind=icon}
返回
Canny edge-based deformable image registration
.png){kind=icon}
OA
AI
DOI：10.1088/1361-6560/aa5342.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This work focuses on developing a 2D Canny edge-based deformable image registration (Canny DIR) algorithm to register in vivo white light images taken at various time points. This method uses a sparse interpolation deformation algorithm to sparsely register regions of the image with strong edge information. A stability criterion is enforced which removes regions of edges that do not deform in a smooth uniform manner. Using a synthetic mouse surface ground truth model, the accuracy of the Canny DIR algorithm was evaluated under axial rotation in the presence of deformation. The accuracy was also tested using fluorescent dye injections, which were then used for gamma analysis to establish a second ground truth. The results indicate that the Canny DIR algorithm performs better than rigid registration, intensity corrected Demons, and distinctive features for all evaluation matrices and ground truth scenarios. In conclusion Canny DIR performs well in the presence of the unique lighting and shading variations associated with whitelight-based image registration.
Keyword:
deformable image registration
sparse interpolation
surface registration
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.4
论文数:
1.4W
被引数:
3.1W
机构
引用论文
分享收藏Tumor paint:: A Chlorotoxin:Cy5.5 bioconjugate for intraoperative visualization of cancer foci.png)
CANCER RESEARCH
OAAI
CANCER RESEARCHIF16.6
OAAI分享收藏分享收藏
查看更多内容