A Noise Adaptive Method for Needle Localization in 3D Ultrasound Images
Publish place: 12th Iranian Conference on Intelligent Systems
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICS12_180
تاریخ نمایه سازی: 11 مرداد 1393
Abstract:
intra-operative ultrasound imaging is a widely used technique for navigation of many minimally invasive medical procedures. Using the ultrasound imaging has advantages such assafety, speed and low cost in expense of low quality of the image due to the speckle noise. In this paper, we describe twotechniques for increasing the needle localization accuracy in high and low noise levels of the 3D ultrasound images. The level of thespeckle noise in the input image is estimated using the patchbased noise estimation method. In low noise levels we used the maximum likelihood criteria for model evaluation step of thefitting procedure. In high noise levels, the image is filtered before thresholding, using eigenanalysis of the Hessian matrix. Theresults show improvement in accuracy and speed with respect to the previous model fitting RANSAC based method
Authors
Leila Malekian
Amirkabir University of Technology Tehran, Iran
Heidar Ali Talebi
Amirkabir University of Technology Tehran, Iran
Farzad Towhidkhah
Amirkabir University of Technology Tehran, Iran