Real time ultrasound needle image simulation using multi- dimensional interpolation

Authors:
Mengchen Zhu;Septimiu E. Salcudean
Affiliations:
Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA;Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada
Venue:
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
Year:
2010

Citing 5
Cited 0

Light field rendering

SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Image interpolation and resampling

Handbook of medical imaging
Simulation of ultrasound guided needle puncture using patient specific data with 3D textures and volume haptics

Computer Animation and Virtual Worlds
Real-Time Simulation of Medical Ultrasound from CT Images

MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Haptic simulator for prostate brachytherapy with simulated ultrasound

ISBMS'10 Proceedings of the 5th international conference on Biomedical Simulation

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose an interpolation-based method for simulating needle images in B-mode ultrasound.We parametrize the needle image as a function of needle position and orientation. We collect needle images under various spatial configurations in a water-tank using a guidance robot. Then we use multi-dimensional tensor-product interpolation to simulate images of needles with arbitrary poses and positions using the collected images. Interpolated needle images are superimposed on top of phantom image backgrounds. The similarity between the simulated and the real images is measured using a correlation metric. A comparison with in-vivo images is also performed. The simulation procedure is demonstrated using transverse needle images and extended to sagittal needle images and brachytherapy seed images. The proposed method could be used in clinical procedure training simulators.