3D-2D medical image registration based on near projective invariance

Zhongyuan Qin; Xuanqin Mou

3D-2D medical image registration based on near projective invariance

Zhongyuan Qin
, Xuanqin Mou

电子与信息学部

Southeast University, Nanjing
Xi'an Jiaotong University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

The registration between MRA and DSA of a same patient is studied in this paper. The registration algorithm based on near projection invariance is presented, i.e. the projection of 3D MRA skeleton should accord with the 2D DSA skeleton under the same perspective view. After the cost function between the projections is defined, the view angle can then be obtained through maximizing the cost function using Newton iteration method. Satisfactory results are obtained in the clinical MRA and DSA data of the same patient.

源语言	英语
页（从-至）	22-24
页数	3
期刊	Jisuanji Gongcheng/Computer Engineering
卷	32
期	17
出版状态	已出版 - 5 9月 2006

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引用此

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title = "3D-2D medical image registration based on near projective invariance",

abstract = "The registration between MRA and DSA of a same patient is studied in this paper. The registration algorithm based on near projection invariance is presented, i.e. the projection of 3D MRA skeleton should accord with the 2D DSA skeleton under the same perspective view. After the cost function between the projections is defined, the view angle can then be obtained through maximizing the cost function using Newton iteration method. Satisfactory results are obtained in the clinical MRA and DSA data of the same patient.",

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author = "Zhongyuan Qin and Xuanqin Mou",

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AU - Qin, Zhongyuan

AU - Mou, Xuanqin

PY - 2006/9/5

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N2 - The registration between MRA and DSA of a same patient is studied in this paper. The registration algorithm based on near projection invariance is presented, i.e. the projection of 3D MRA skeleton should accord with the 2D DSA skeleton under the same perspective view. After the cost function between the projections is defined, the view angle can then be obtained through maximizing the cost function using Newton iteration method. Satisfactory results are obtained in the clinical MRA and DSA data of the same patient.

AB - The registration between MRA and DSA of a same patient is studied in this paper. The registration algorithm based on near projection invariance is presented, i.e. the projection of 3D MRA skeleton should accord with the 2D DSA skeleton under the same perspective view. After the cost function between the projections is defined, the view angle can then be obtained through maximizing the cost function using Newton iteration method. Satisfactory results are obtained in the clinical MRA and DSA data of the same patient.

KW - 3D-2D registration

KW - Medical image registration

KW - Near projection invariance

UR - https://www.scopus.com/pages/publications/33750423107

M3 - 文章

AN - SCOPUS:33750423107

SN - 1000-3428

VL - 32

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JO - Jisuanji Gongcheng/Computer Engineering

JF - Jisuanji Gongcheng/Computer Engineering

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ER -

3D-2D medical image registration based on near projective invariance

摘要

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