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Atlas-Guided Transcranial Doppler Ultrasound Examination with a Neuro-Surgical Navigation System: Case Study

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Clinical Image-Based Procedures. Translational Research in Medical Imaging (CLIP 2015)

Abstract

Transcranial Doppler (TCD) sonography is a special ultrasound (US) technique that can image and measure the blood flow within certain cerebral blood vessels through bone windows of the human skull. As a relatively inexpensive and portable medical imaging modality, it has shown great applications in the diagnosis and monitoring of a range of neurovascular conditions. However, due to the challenges in imaging through the skull, interpretation of anatomical structures and quick localization of blood vessels in sonograpy can often be difficult. To make the TCD examination more efficient and intuitive, we propose to employ a population-averaged human head atlas that includes a probabilistic blood vessel map and a standard head MRI template to guide the procedure. Using the system, spatially tracked ultrasound images are augmented with the atlas in a navigation system through landmark-based and automated US-MRI registration. A case study of a healthy subject is presented to demonstrate the performance of the proposed technique, and the system is expected to be applied both in clinics and in training.

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Acknowledgements

We acknowledged funding support from Canadian Institutes of Health Research (MOP-84360 and MOP-111169), the Canadian National Science and Engineering Research Council (238739) and a FQRNT Stratégie québecoise de la recherche et de l’innovation graduate fellowship.

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Correspondence to Yiming Xiao .

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Xiao, Y. et al. (2016). Atlas-Guided Transcranial Doppler Ultrasound Examination with a Neuro-Surgical Navigation System: Case Study. In: Oyarzun Laura, C., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2015. Lecture Notes in Computer Science(), vol 9401. Springer, Cham. https://doi.org/10.1007/978-3-319-31808-0_3

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  • DOI: https://doi.org/10.1007/978-3-319-31808-0_3

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