Int J Med Robot - Volume-specific parameter optimization of 3D local phase features for improved extraction of bone surfaces in ultrasound.

Tópicos

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Resumo

CKGROUND: Accurate localization of bone surfaces remains a challenge hampering adoption of ultrasound guidance in computer-assisted orthopaedic surgery. Local phase image features have recently been proven efficacious for segmenting bone surfaces from ultrasound images, but the quality of the processing depends on numerous filter parameters that are currently set through a trial and error process that is tedious, unintuitive and subject to large inter-user variability.METHODS: A method is presented for automatically selecting parameters of Log-Gabor filters used to extract bone surfaces from 3D ultrasound volumes that is based on properties estimated directly from the specific image.RESULTS: A 15% and 69% average improvement in bone surface localization accuracy on phantom and clinical data, respectively, is demonstrated compared with empirically-set parameters.CONCLUSIONS: These findings imply that Log-Gabor filter parameter optimization is necessary for accurate extraction of bone surfaces from ultrasound data.

Resumo Limpo

ckground accur local bone surfac remain challeng hamper adopt ultrasound guidanc computerassist orthopaed surgeri local phase imag featur recent proven efficaci segment bone surfac ultrasound imag qualiti process depend numer filter paramet current set trial error process tedious unintuit subject larg interus variabilitymethod method present automat select paramet loggabor filter use extract bone surfac d ultrasound volum base properti estim direct specif imageresult averag improv bone surfac local accuraci phantom clinic data respect demonstr compar empiricallyset parametersconclus find impli loggabor filter paramet optim necessari accur extract bone surfac ultrasound data

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