Int J Comput Assist Radiol Surg - Validation of a hybrid Doppler ultrasound vessel-based registration algorithm for neurosurgery.

Tópicos

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Resumo

RPOSE: We describe and validate a novel hybrid nonlinear vessel registration algorithm for intra-operative updating of preoperative magnetic resonance (MR) images using Doppler ultrasound (US) images acquired on the dura for the correction of brain-shift and registration inaccuracies. We also introduce an US vessel appearance simulator that generates vessel images similar in appearance to that acquired with US from MR angiography data.METHODS: Our registration uses the minimum amount of preprocessing to extract vessels from the raw volumetric images. This prevents the removal of important registration information and minimizes the introduction of artifacts that may affect robustness, while reducing the amount of extraneous information in the image to be processed, thus improving the convergence speed of the algorithm. We then completed 3 rounds of validation for our vessel registration method for robustness and accuracy using (i) a large number of synthetic trials generated with our US vessel simulator, (ii) US images acquired from a real physical phantom made from polyvinyl alcohol cryogel, and (iii) real clinical data gathered intra-operatively from 3 patients.RESULTS: Resulting target registration errors (TRE) of less than 2.5?mm are achieved in more than 90?% of the synthetic trials when the initial TREs are less than 20?mm. TREs of less than 2?mm were achieved when the technique was applied to the physical phantom, and TREs of less than 3?mm were achieved on clinical data.CONCLUSIONS: These test trials show that the proposed algorithm is not only accurate but also highly robust to noise and missing vessel segments when working with US images acquired in a wide range of real-world conditions.

Resumo Limpo

rpose describ valid novel hybrid nonlinear vessel registr algorithm intraop updat preoper magnet reson mr imag use doppler ultrasound us imag acquir dura correct brainshift registr inaccuraci also introduc us vessel appear simul generat vessel imag similar appear acquir us mr angiographi datamethod registr use minimum amount preprocess extract vessel raw volumetr imag prevent remov import registr inform minim introduct artifact may affect robust reduc amount extran inform imag process thus improv converg speed algorithm complet round valid vessel registr method robust accuraci use larg number synthet trial generat us vessel simul ii us imag acquir real physic phantom made polyvinyl alcohol cryogel iii real clinic data gather intraop patientsresult result target registr error tre less mm achiev synthet trial initi tres less mm tres less mm achiev techniqu appli physic phantom tres less mm achiev clinic dataconclus test trial show propos algorithm accur also high robust nois miss vessel segment work us imag acquir wide rang realworld condit

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