@inproceedings{1e295c5760084ce6b034be0153ca98e8,
title = "Rapid Multi-modality preRegistration based on SIFT descriptor",
abstract = "This paper describes the Scale Invariant Feature Transform (SIFT) method for rapid preregistration of medical image. This technique originates from Lowe's method wherein preregistration is achieved by matching the corresponding keypoints between two images. The computational complexity has been reduced when we applied SIFT preregistration method before refined registration due to its O(n) exponential calculations. The features of SIFT are highly distinctive and invariant to image scaling and rotation, and partially invariant to change in illumination and contrast, it is robust and repeatable for cursorily matching two images. We also altered the descriptor so our method can deal with multimodality preregistration.",
keywords = "Key-point, Matching, Multi-modality, Preregistration, SIFT",
author = "Jian Chen and Jie Tian",
year = "2006",
doi = "10.1109/IEMBS.2006.260599",
language = "英语",
isbn = "1424400325",
series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
pages = "1437--1440",
booktitle = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06",
note = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 ; Conference date: 30-08-2006 Through 03-09-2006",
}