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

Faculty of Electronic and Information Engineering

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

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.

Original language	English
Pages (from-to)	22-24
Number of pages	3
Journal	Jisuanji Gongcheng/Computer Engineering
Volume	32
Issue number	17
State	Published - 5 Sep 2006

Keywords

3D-2D registration
Medical image registration
Near projection invariance

Cite this

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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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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

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JO - Jisuanji Gongcheng/Computer Engineering

JF - Jisuanji Gongcheng/Computer Engineering

IS - 17

ER -

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

Abstract

Keywords

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