3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study

Purpose Intra-operative image guidance during deep brain stimulation (DBS) surgery is usually avoided due to cost and overhead of intra-operative MRI and CT acquisitions. Recently, there has been interest in the community towards the usage of non-invasive transcranial ultrasound (TCUS) through the preauricular bone window. In this work, we investigate, for the first time, the feasibility of using 3D-TCUS for imaging of already implanted DBS electrodes. As a first step towards this goal, we report imaging methods and electrode localisation errors outside of the operating room on eight previously operated DBS patients.Methods We evaluate the feasibility of using 3D-TCUS by registering volumes to pre-operative T1-MRI. US-MRI registration is achieved through a two-step point-based approach. First, a rough surface scan of the subjects’ skin surface in 3D-TCUS space is registered to a segmented skin-surface point cloud from MRI. Next, we perform a refinement using rigid registration of multiple pairs of manually marked anatomical landmarks. We validate against post-operative CT scans which are also registered to pre-operative MRI.Results Qualitative results are given in form of 3D reconstruction examples at 2.5 and 3.5 MHz TCUS image frequency, overlaid on pre-operative T1-MRI and post-operative CT. Quantitative evaluation is performed by reporting the accuracy of electrode tip localisation at 2.5 and 3.5 MHz after our US-MRI approach. As a baseline, we also report RMSE errors for pairs of anatomical landmarks in pre-operative MRI and 3D-TCUS.Conclusion Multiple image examples show the appearance and quality of 3D-TCUS scans, depending on the bone window. Overall accuracy of anatomic point pairs lies on the order of 3.2 mm, using our registration approach. Compared to this baseline, electrode tip localisation in 3D-TCUS has a mean accuracy on the order of 4.8 mm and a precision on the order of 2.3 mm. While insufficient at first glance, we argue why these results are promising nonetheless. Our work motivates further future work in improved TCUS scanning, advanced TCUS-MRI registration and computer-aided electrode detection in 3D-TCUS.

[1]  Jérémie Dequidt,et al.  Biomechanical Simulation of Electrode Migration for Deep Brain Stimulation , 2011, MICCAI.

[2]  Uwe Walter,et al.  Intra- and post-operative monitoring of deep brain implants using transcranial ultrasound , 2012 .

[3]  Nassir Navab,et al.  Automatic ultrasound-MRI registration for neurosurgery using the 2D and 3D LC2 Metric , 2014, Medical Image Anal..

[4]  Nassir Navab,et al.  Three-dimensional sonographic examination of the midbrain for computer-aided diagnosis of movement disorders. , 2012, Ultrasound in medicine & biology.

[5]  D. Louis Collins,et al.  Fast and Robust Registration Based on Gradient Orientations: Case Study Matching Intra-operative Ultrasound to Pre-operative MRI in Neurosurgery , 2012, IPCAI.

[6]  Arno Klein,et al.  A reproducible evaluation of ANTs similarity metric performance in brain image registration , 2011, NeuroImage.

[7]  Klaus Fassbender,et al.  Enlarged hyperechogenic substantia nigra as a risk marker for Parkinson's disease , 2013, Movement disorders : official journal of the Movement Disorder Society.

[8]  Paul J. Besl,et al.  Method for registration of 3-D shapes , 1992, Other Conferences.

[9]  Jochen Klenk,et al.  Enlarged substantia nigra hyperechogenicity and risk for Parkinson disease: a 37-month 3-center study of 1847 older persons. , 2011, Archives of neurology.

[10]  Andras Lasso,et al.  PLUS: Open-Source Toolkit for Ultrasound-Guided Intervention Systems , 2014, IEEE Transactions on Biomedical Engineering.

[11]  Uwe Walter,et al.  No Lewy pathology in monkeys with over 10 years of severe MPTP Parkinsonism , 2009, Movement disorders : official journal of the Movement Disorder Society.

[12]  J BeslPaul,et al.  A Method for Registration of 3-D Shapes , 1992 .

[13]  Max A. Viergever,et al.  Brain shift estimation in image-guided neurosurgery using 3-D ultrasound , 2005, IEEE Transactions on Biomedical Engineering.

[14]  Robert E. Gross,et al.  Assessment of Brain Shift Related to Deep Brain Stimulation Surgery , 2007, Stereotactic and Functional Neurosurgery.

[15]  T. B. Müller,et al.  Intra-operative 3D ultrasound in neurosurgery , 2006, Acta Neurochirurgica.

[16]  Philip A. Starr,et al.  Placement of Deep Brain Stimulators into the Subthalamic Nucleus or Globus pallidus internus: Technical Approach , 2003, Stereotactic and Functional Neurosurgery.

[17]  Uwe Walter,et al.  Transcranial sonographic localization of deep brain stimulation electrodes is safe, reliable and predicts clinical outcome. , 2011, Ultrasound in medicine & biology.

[18]  Milan Sonka,et al.  3D Slicer as an image computing platform for the Quantitative Imaging Network. , 2012, Magnetic resonance imaging.

[19]  Brooks D Lindsey,et al.  3-D transcranial ultrasound imaging with bilateral phase aberration correction of multiple isoplanatic patches: a pilot human study with microbubble contrast enhancement. , 2014, Ultrasound in medicine & biology.

[20]  W. Mess,et al.  The predictive value of transcranial duplex sonography for the clinical diagnosis in undiagnosed parkinsonian syndromes: comparison with SPECT scans , 2008, BMC neurology.

[21]  Benoit M. Dawant,et al.  CranialVault and its CRAVE tools: A clinical computer assistance system for deep brain stimulation (DBS) therapy , 2012, Medical Image Anal..

[22]  Uwe Walter,et al.  Transcranial sonography-assisted stereotaxy and follow-up of deep brain implants in patients with movement disorders. , 2010, International review of neurobiology.