This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator.
The aim of the project is to use a new ultrasound method to provide a low cost, and portable methods for imaging blood flow, detecting hemorrhaging, and diagnosing certain brain disorders. Distortion and low signal to noise ratios (SNR) caused by the skull have severely limited the use of existing clinical devices such as trancranial Doppler. Signal degradation is caused by reflection, refraction, attenuation, and scattering by the skull. Our recentwork, however, indicates that under certain conditions it is possible to propagate ultrasound through the skull with reduced distortion and higher signal amplitudes by using high incident angles. Both numeric and experimental investigation indicate this is due to the behavior of shear modes induced in the skull bone. Preliminary data shows that a signal obtained through the skull at high angles is less distorted than a longitudinal one. we are working toward substantial improvement of transcranial ultrasound by propagating through the skull as a shear wave as opposed to a longitudinal acoustic mode. The investigation is testing the application of the transcranial shear mode to a number of imaging problems including the vessel detection, tumor detection, tissue morphology, and hemorrhaging in the brain. The work could potentially offer a non-ionizing imaging method that could in operate clinically, while introducing a new technique into medical and biological imaging.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Cooperative Agreements (U41)
Project #
5U41RR019703-02
Application #
7360395
Study Section
Special Emphasis Panel (ZRG1-SBIB-L (40))
Project Start
2006-08-01
Project End
2007-07-31
Budget Start
2006-08-01
Budget End
2007-07-31
Support Year
2
Fiscal Year
2006
Total Cost
$13,446
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Schmidt, Ehud J; Halperin, Henry R (2018) MRI use for atrial tissue characterization in arrhythmias and for EP procedure guidance. Int J Cardiovasc Imaging 34:81-95
George, E; Liacouras, P; Lee, T C et al. (2017) 3D-Printed Patient-Specific Models for CT- and MRI-Guided Procedure Planning. AJNR Am J Neuroradiol 38:E46-E47
Mitsouras, Dimitris; Lee, Thomas C; Liacouras, Peter et al. (2017) Three-dimensional printing of MRI-visible phantoms and MR image-guided therapy simulation. Magn Reson Med 77:613-622
Guenette, Jeffrey P; Himes, Nathan; Giannopoulos, Andreas A et al. (2016) Computer-Based Vertebral Tumor Cryoablation Planning and Procedure Simulation Involving Two Cases Using MRI-Visible 3D Printing and Advanced Visualization. AJR Am J Roentgenol 207:1128-1131
Mitsouras, Dimitris; Mulkern, Robert V; Maier, Stephan E (2016) Multicomponent T2 relaxation studies of the avian egg. Magn Reson Med 75:2156-64
Li, Mao; Miller, Karol; Joldes, Grand Roman et al. (2016) Biomechanical model for computing deformations for whole-body image registration: A meshless approach. Int J Numer Method Biomed Eng 32:
Schmidt, Ehud J; Watkins, Ronald D; Zviman, Menekhem M et al. (2016) A Magnetic Resonance Imaging-Conditional External Cardiac Defibrillator for Resuscitation Within the Magnetic Resonance Imaging Scanner Bore. Circ Cardiovasc Imaging 9:
Li, Mao; Miller, Karol; Joldes, Grand Roman et al. (2015) Patient-specific biomechanical model as whole-body CT image registration tool. Med Image Anal 22:22-34
Schmidt, Ehud J (2015) Magnetic Resonance Imaging-Guided Cardiac Interventions. Magn Reson Imaging Clin N Am 23:563-77
Calligaris, David; Feldman, Daniel R; Norton, Isaiah et al. (2015) MALDI mass spectrometry imaging analysis of pituitary adenomas for near-real-time tumor delineation. Proc Natl Acad Sci U S A 112:9978-83

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