Model-based geometric calibration for medical x-ray systems.

Abstract:

PURPOSE:Currently applied calibration approaches lead to satisfying 3D roadmapping overlay and 3D reconstruction accuracies; however, the required calibration times are extensive. The aim of this paper is the introduction of a novel model-based approach for geometric system calibrations, leading to a significant reduction of calibration times. METHODS:By using physical insight into the system, a physical model is derived which can be exploited to predict geometric calibrations parameters. Model-parameters are estimated using a limited set of phantom-based measurement data. Effectively, the calibration procedure is recast to a parameter identification experiment. RESULTS:The potential of the proposed approach is illustrated by virtue of a benchmark object, successful reconstruction of a clinical phantom, and comparison to phantom-based accuracies. CONCLUSIONS:Accurate models are required to achieve the desired accuracies. Based on the results in this work, the approach seems to be feasible for practical applications; however, to achieve all the desired specifications, future research should focus on enhanced modeling techniques.

journal_name

Med Phys

journal_title

Medical physics

authors

van der Maas R,de Jager B,Steinbuch M,Dries J

doi

10.1118/1.4931964

subject

Has Abstract

pub_date

2015-11-01 00:00:00

pages

6170-81

issue

11

eissn

0094-2405

issn

2473-4209

journal_volume

42

pub_type

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