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Proceedings Paper

The ultrasound brain helmet: early human feasibility study of multiple simultaneous 3D scans of cerebral vasculature
Author(s): Brooks D. Lindsey; Nikolas M. Ivancevich; John Whitman; Edward Light; Matthew Fronheiser; Heather A. Nicoletto; Daniel T. Laskowitz; Stephen W. Smith
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Paper Abstract

We describe early stage experiments to test the feasibility of an ultrasound brain helmet to produce multiple simultaneous real-time 3D scans of the cerebral vasculature from temporal and suboccipital acoustic windows of the skull. The transducer hardware and software of the Volumetrics Medical Imaging real-time 3D scanner were modified to support dual 2.5 MHz matrix arrays of 256 transmit elements and 128 receive elements which produce two simultaneous 64° pyramidal scans. The real-time display format consists of two coronal B-mode images merged into a 128° sector, two simultaneous parasagittal images merged into a 128° × 64° C-mode plane, and a simultaneous 64° axial image. Real-time 3D color Doppler images acquired in initial clinical studies after contrast injection demonstrate flow in several representative blood vessels. An offline Doppler rendering of data from two transducers simultaneously scanning via the temporal windows provides an early visualization of the flow in vessels on both sides of the brain. The long-term goal is to produce real-time 3D ultrasound images of the cerebral vasculature from a portable unit capable of internet transmission, thus enabling interactive 3D imaging, remote diagnosis and earlier therapeutic intervention. We are motivated by the urgency for rapid diagnosis of stroke due to the short time window of effective therapeutic intervention.

Paper Details

Date Published: 13 March 2009
PDF: 11 pages
Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 726503 (13 March 2009); doi: 10.1117/12.810644
Show Author Affiliations
Brooks D. Lindsey, Duke Univ. (United States)
Nikolas M. Ivancevich, Duke Univ. (United States)
John Whitman, Duke Univ. (United States)
Edward Light, Duke Univ. (United States)
Matthew Fronheiser, Duke Univ. (United States)
Heather A. Nicoletto, Duke Univ. Medical Ctr. (United States)
Daniel T. Laskowitz, Duke Univ. Medical Ctr. (United States)
Stephen W. Smith, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 7265:
Medical Imaging 2009: Ultrasonic Imaging and Signal Processing
Stephen A. McAleavey; Jan D'hooge, Editor(s)

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