Non-rigid registration of vessel structures in IVUS images

Jaume Amores; Petia Radeva

Non-rigid registration of vessel structures in IVUS images

Jaume Amores, Petia Radeva

Research output: Contribution to journal › Article › Research › peer-review

Abstract

We present a registration and retrieval algorithm of medical images. Our algorithm is oriented in a general fashion towards gray level medical images of non-rigid bodies such as coronary vessels, where object shape information provide poor information. We use rich descriptors based on both local and global (contextual) information, and at the same time we use a cooperative-iterative strategy in order to get a good set of correspondences as well as a good final transformation. We focus on a novel application of registration of medical images: registration of IVUS, a promising technique of analyzing the coronary vessels. © Springer-Verlag Berlin Heidelberg 2003.

Original language	English
Pages (from-to)	45-52
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2652
Publication status	Published - 1 Dec 2003

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title = "Non-rigid registration of vessel structures in IVUS images",

abstract = "We present a registration and retrieval algorithm of medical images. Our algorithm is oriented in a general fashion towards gray level medical images of non-rigid bodies such as coronary vessels, where object shape information provide poor information. We use rich descriptors based on both local and global (contextual) information, and at the same time we use a cooperative-iterative strategy in order to get a good set of correspondences as well as a good final transformation. We focus on a novel application of registration of medical images: registration of IVUS, a promising technique of analyzing the coronary vessels. {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.",

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AU - Amores, Jaume

AU - Radeva, Petia

PY - 2003/12/1

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N2 - We present a registration and retrieval algorithm of medical images. Our algorithm is oriented in a general fashion towards gray level medical images of non-rigid bodies such as coronary vessels, where object shape information provide poor information. We use rich descriptors based on both local and global (contextual) information, and at the same time we use a cooperative-iterative strategy in order to get a good set of correspondences as well as a good final transformation. We focus on a novel application of registration of medical images: registration of IVUS, a promising technique of analyzing the coronary vessels. © Springer-Verlag Berlin Heidelberg 2003.

AB - We present a registration and retrieval algorithm of medical images. Our algorithm is oriented in a general fashion towards gray level medical images of non-rigid bodies such as coronary vessels, where object shape information provide poor information. We use rich descriptors based on both local and global (contextual) information, and at the same time we use a cooperative-iterative strategy in order to get a good set of correspondences as well as a good final transformation. We focus on a novel application of registration of medical images: registration of IVUS, a promising technique of analyzing the coronary vessels. © Springer-Verlag Berlin Heidelberg 2003.

M3 - Article

SN - 0302-9743

VL - 2652

SP - 45

EP - 52

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

ER -

Non-rigid registration of vessel structures in IVUS images

Abstract

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