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Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
Published on: November 23, 2019
A review of 3D/2D registration methods for image-guided interventions
P Markelj1, D Tomaževič, B Likar
1University of Ljubljana, Faculty of Electrical Engineering, Ljubljana, Slovenia. primoz.markelj@fe.uni-lj.si
Medical Image Analysis
|May 11, 2010
Summary
This paper reviews 3D/2D image registration methods for image-guided interventions. It focuses on techniques using 3D CT/MRI and 2D X-ray data for precise medical procedures.
Area of Science:
- Medical Imaging
- Image-Guided Interventions
- Computer-Aided Surgery
Background:
- Accurate registration of pre- and intra-interventional data is crucial for image-guided radiation therapy, radiosurgery, minimally invasive surgery, endoscopy, and interventional radiology.
- 3D/2D image registration enables the fusion of pre-operative (3D) and intra-operative (2D) imaging data.
Purpose of the Study:
- To survey and review 3D/2D data registration methods.
- To categorize these methods based on key characteristics relevant to image-guided interventions.
Main Methods:
- Focus on registration methods using 3D computed tomography (CT) or magnetic resonance (MR) images as pre-interventional data.
- Utilize 2D X-ray projection images as intra-interventional data.
- Review methods based on image modality, dimensionality, registration basis, geometric transformation, user interaction, and optimization procedures.
Main Results:
- Categorization of 3D/2D registration techniques based on various parameters.
- Identification of common approaches and variations in 3D/2D registration for image-guided procedures.
- Overview of the landscape of 3D/2D registration methods in medical imaging.
Conclusions:
- 3D/2D registration is a vital technology for enhancing precision in image-guided medical interventions.
- Understanding the different registration methods is key to selecting appropriate techniques for specific clinical applications.
- This review provides a comprehensive overview to guide future research and development in image registration.

