Assessing accuracy factors in deformable 2D/3D medical image registration using a statistical pelvis model

Jianhua Yao, Russell Taylor

Research output: Contribution to conferencePaper

Abstract

Deformable 2D-3D medical image registration is an essential technique in Computer Integrated Surgery (CIS) to fuse 3D pre-operative data with 2D infra- operative data. Several factors may affect the accuracy of 2D-3D registration, including the number of 2D views, the angle between views, the view angle relative to anatomical objects, the co-registration error between views, the image noise, and the image distortion. In this paper, we investigate and assess the relationship between these factors and the accuracy of 2D-3D registration. We proposed a deformable 2D-3D registration method based on a statistical model. We conducted experiments using a hemi-pelvis model and simulated x-ray images. Some discussions are provided on how to improve the accuracy of 2D-3D registration based on our assessment.

Original languageEnglish (US)
Pages1329-1334
Number of pages6
StatePublished - Dec 2 2003
EventNINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION - Nice, France
Duration: Oct 13 2003Oct 16 2003

Other

OtherNINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION
CountryFrance
CityNice
Period10/13/0310/16/03

Keywords

  • Accuracy assessment
  • Deformable 2D-3D medical image registration
  • Statistical model

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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  • Cite this

    Yao, J., & Taylor, R. (2003). Assessing accuracy factors in deformable 2D/3D medical image registration using a statistical pelvis model. 1329-1334. Paper presented at NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, Nice, France.