Edge preserving multi-modal registration based on gradient intensity self-similarity

Tamar Rott; Dorin Shriki; Tamir Bendory

doi:10.1109/EEEI.2014.7005886

Edge preserving multi-modal registration based on gradient intensity self-similarity

Tamar Rott, Dorin Shriki, Tamir Bendory

Technion-Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Image registration is a challenging task in the world of medical imaging. Particularly, accurate edge registration plays a central role in a variety of clinical conditions. The Modality Independent Neighbourhood Descriptor (MIND) demonstrates state of the art alignment, based on the image self-similarity. However, this method appears to be less accurate regarding edge registration. In this work, we propose a new registration method, incorporating gradient intensity and MIND self-similarity metric. Experimental results show the superiority of this method in edge registration tasks, while preserving the original MIND performance for other image features and textures.

Original language	English
Title of host publication	2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479959877
DOIs	https://doi.org/10.1109/EEEI.2014.7005886
State	Published - 2014
Externally published	Yes
Event	2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 - Eilat, Israel Duration: 3 Dec 2014 → 5 Dec 2014

Publication series

Name	2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014

Conference

Conference	2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Country/Territory	Israel
City	Eilat
Period	3/12/14 → 5/12/14

Keywords

Image gradient
Image registration
Multi-modal similarity metric
Self-similarity

Access to Document

10.1109/EEEI.2014.7005886

Cite this

Rott, T., Shriki, D., & Bendory, T. (2014). Edge preserving multi-modal registration based on gradient intensity self-similarity. In 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 Article 7005886 (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEEI.2014.7005886

Rott, Tamar ; Shriki, Dorin ; Bendory, Tamir. / Edge preserving multi-modal registration based on gradient intensity self-similarity. 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014).

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abstract = "Image registration is a challenging task in the world of medical imaging. Particularly, accurate edge registration plays a central role in a variety of clinical conditions. The Modality Independent Neighbourhood Descriptor (MIND) demonstrates state of the art alignment, based on the image self-similarity. However, this method appears to be less accurate regarding edge registration. In this work, we propose a new registration method, incorporating gradient intensity and MIND self-similarity metric. Experimental results show the superiority of this method in edge registration tasks, while preserving the original MIND performance for other image features and textures.",

keywords = "Image gradient, Image registration, Multi-modal similarity metric, Self-similarity",

author = "Tamar Rott and Dorin Shriki and Tamir Bendory",

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doi = "10.1109/EEEI.2014.7005886",

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Rott, T, Shriki, D & Bendory, T 2014, Edge preserving multi-modal registration based on gradient intensity self-similarity. in 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014., 7005886, 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014, Institute of Electrical and Electronics Engineers Inc., 2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014, Eilat, Israel, 3/12/14. https://doi.org/10.1109/EEEI.2014.7005886

Edge preserving multi-modal registration based on gradient intensity self-similarity. / Rott, Tamar; Shriki, Dorin; Bendory, Tamir.
2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 7005886 (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Rott T, Shriki D, Bendory T. Edge preserving multi-modal registration based on gradient intensity self-similarity. In 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 7005886. (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014). doi: 10.1109/EEEI.2014.7005886

Edge preserving multi-modal registration based on gradient intensity self-similarity

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