A fast and robust technique for 3D-2D registration of CT to single plane X-ray fluoroscopy

Md. Nazmui Haque, Mark Pickering, Abdullah Muhit, Michael Frater, Jennie Scarvell, Paul Smith

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The application of 3D¿2D image registration can be enormously helpful for different clinical purposes, such as image-guided surgery and the kinematic analysis of bones in knee and ankle joints. A limitation of this approach is the need to recalculate the voxel values in the 3D volume for every iteration of the registration procedure prior to generating a digitally reconstructed radiograph. In this paper we propose a new multi-phase 3D¿2D image registration algorithm which uses partial 3D volumes to estimate out-of-plane rotations. In our proposed algorithm, only one full 3D update is used to generate a 2D projection during the registration procedure. Experimental results show that our proposed method can provide a registration accuracy similar to the commonly used approach which employs 3D updates at every iteration. As a result of reducing the number of 3D updates, the proposed approach reduces the time required to carry out the registration by a factor of 10¿20 without any accompanying loss of registration accuracy.
Original languageEnglish
Pages (from-to)76-89
Number of pages14
JournalComputer Methods in Biomechanics and Biomedical Engineering: Imagine and Visualisation
Volume2
Issue number2
DOIs
Publication statusPublished - 2014
Externally publishedYes

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Fluoroscopy
Image registration
X-Rays
X rays
Surgery
Computer-Assisted Surgery
Bone
Kinematics
Ankle Joint
Knee Joint
Biomechanical Phenomena
Bone and Bones

Cite this

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title = "A fast and robust technique for 3D-2D registration of CT to single plane X-ray fluoroscopy",
abstract = "The application of 3D¿2D image registration can be enormously helpful for different clinical purposes, such as image-guided surgery and the kinematic analysis of bones in knee and ankle joints. A limitation of this approach is the need to recalculate the voxel values in the 3D volume for every iteration of the registration procedure prior to generating a digitally reconstructed radiograph. In this paper we propose a new multi-phase 3D¿2D image registration algorithm which uses partial 3D volumes to estimate out-of-plane rotations. In our proposed algorithm, only one full 3D update is used to generate a 2D projection during the registration procedure. Experimental results show that our proposed method can provide a registration accuracy similar to the commonly used approach which employs 3D updates at every iteration. As a result of reducing the number of 3D updates, the proposed approach reduces the time required to carry out the registration by a factor of 10¿20 without any accompanying loss of registration accuracy.",
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A fast and robust technique for 3D-2D registration of CT to single plane X-ray fluoroscopy. / Haque, Md. Nazmui; Pickering, Mark; Muhit, Abdullah; Frater, Michael; Scarvell, Jennie; Smith, Paul.

In: Computer Methods in Biomechanics and Biomedical Engineering: Imagine and Visualisation, Vol. 2, No. 2, 2014, p. 76-89.

Research output: Contribution to journalArticle

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T1 - A fast and robust technique for 3D-2D registration of CT to single plane X-ray fluoroscopy

AU - Haque, Md. Nazmui

AU - Pickering, Mark

AU - Muhit, Abdullah

AU - Frater, Michael

AU - Scarvell, Jennie

AU - Smith, Paul

PY - 2014

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AB - The application of 3D¿2D image registration can be enormously helpful for different clinical purposes, such as image-guided surgery and the kinematic analysis of bones in knee and ankle joints. A limitation of this approach is the need to recalculate the voxel values in the 3D volume for every iteration of the registration procedure prior to generating a digitally reconstructed radiograph. In this paper we propose a new multi-phase 3D¿2D image registration algorithm which uses partial 3D volumes to estimate out-of-plane rotations. In our proposed algorithm, only one full 3D update is used to generate a 2D projection during the registration procedure. Experimental results show that our proposed method can provide a registration accuracy similar to the commonly used approach which employs 3D updates at every iteration. As a result of reducing the number of 3D updates, the proposed approach reduces the time required to carry out the registration by a factor of 10¿20 without any accompanying loss of registration accuracy.

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KW - multi-modal similarity measure

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KW - kinematic analysis

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