This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.Numerous studies have demonstrated the efficacy of needle-based therapy and biopsy procedures in the management of prostate cancer. Despite all advances in clinical and biophysical methodologies, however, precise anatomy-guided needle placement and real-time monitoring of the actual therapeutic process are still unsolved problems. Magnetic resonance imaging (MRI) has been found to be an ideal imaging modality for guiding and monitoring prostatic interventions, due to its high specificity to soft tissue abnormalities, real-time capability in monitoring needle placement and induced physiological changes, and its ability to show concurrent metabolic activity if combined wil:h spectroscopy. At the same time, however, closed high-field MRI historically has been the most unavailable imaging modality for guiding minimally invasive interventions. The scanner's high magnetic field and extremely confined physical space present a formidable engineering challenge, and 'conventional' difficulties such as needle deflection, tissue deformation, and target motion also add to the problem.Our ultimate goal is to provide a technology platform for precise transrectal needle placement into the prostate for diagnostic, analytical, and therapeutic purposes; inside a conventional closed MRI scanner, under active real-time MRI guidance and monitoring. In prior work, we have developed a prototype of such an integrated system and proved the feasibility of our approach in a variety of diagnostic and therapeutic applications, in vivo on canines. In response to this RFA, we propose to develop a more advanced system that is suitable for a variety of applications on human patients.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Cooperative Agreements (U41)
Project #
5U41RR019703-03
Application #
7563683
Study Section
Special Emphasis Panel (ZRG1-SBIB-L (40))
Project Start
2007-08-01
Project End
2008-07-31
Budget Start
2007-08-01
Budget End
2008-07-31
Support Year
3
Fiscal Year
2007
Total Cost
$18,295
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:
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
Radmanesh, Alireza; Zamani, Amir A; Whalen, Stephen et al. (2015) Comparison of seeding methods for visualization of the corticospinal tracts using single tensor tractography. Clin Neurol Neurosurg 129:44-9
Patil, Vaibhav; Gupta, Rajiv; San José Estépar, Raúl et al. (2015) Smart stylet: the development and use of a bedside external ventricular drain image-guidance system. Stereotact Funct Neurosurg 93:50-8

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