We are requesting continuation of funds for the National Biomedical Resource Center in Image-guided Therapy (NCIGT) at the Brigham &Women's Hospital. The Center provides a unique, centralized infrastructure for translational research in the area of image-guided therapy. The multidisciplinary program involves clinical investigators, biomedical engineers, and basic scientists in promoting and advancing IGT methods and related innovative clinical applications. We will develop and make available new, clinically relevant technologies in six discrete TRD Core Projects: 1) Computational Core;2) Imaging Core;3) Image- Guidance Core;4) Neurosurgery Core;5) Prostate Core and 6) Focused Ultrasound Therapy Core. These key research initiatives represent the technical and clinical infrastructure of the Resource. They are anticipated to have significant effect on several future IGT methods and clinical applications. We will combine forces with 7 independently funded Collaborations (DBPs) that address various essential technical or clinical aspects of IGT and our contribution will have significant clinical impact. Our goal is to combine current advances in the field of imaging (like Molecular Imaging, Functional and Metabolic Imaging) with advanced therapies (like MRI-guided Focused Ultrasound ablation or targeted drug delivery, endoscopic surgery or robotics) to achieve less invasive, safer and more effective therapeutic options. All IGT developments and applications will be tested and validated either on our site or at our collaborators, or distributed directly as a service to the growing IGT community. Our overarching goal is to continue being the leading National Center that reaching effectively across a broad range of constituencies through service, training and dissemination of the novel technologies and methods under development in this Resource.

Public Health Relevance

The overarching impetus for this application is to advance and propagate novel image-guided therapy technologies, effectively producing strengthened multidisciplinary research efforts and an infrastructure commensurate with sophisticated technology development. We are also committed to making our technology broadly available to a large community of clinician. Our mission is to develop and implement novel, innovative technologies to decrease the invasiveness of surgeries and interventions.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
2P41RR019703-06
Application #
7872083
Study Section
Special Emphasis Panel (ZRG1-SBIB-L (40))
Program Officer
Levy, Abraham
Project Start
2004-04-01
Project End
2015-07-31
Budget Start
2010-08-01
Budget End
2011-07-31
Support Year
6
Fiscal Year
2010
Total Cost
$3,229,207
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Silva, Michael A; See, Alfred P; Essayed, Walid I et al. (2018) Challenges and techniques for presurgical brain mapping with functional MRI. Neuroimage Clin 17:794-803
Glazer, Daniel I; Hassanzadeh, Elmira; Fedorov, Andriy et al. (2017) Diffusion-weighted endorectal MR imaging at 3T for prostate cancer: correlation with tumor cell density and percentage Gleason pattern on whole mount pathology. Abdom Radiol (NY) 42:918-925
Li, Ming; Narayan, Vivek; Gill, Ritu R et al. (2017) Computer-Aided Diagnosis of Ground-Glass Opacity Nodules Using Open-Source Software for Quantifying Tumor Heterogeneity. AJR Am J Roentgenol 209:1216-1227
Chou, Shinn-Huey S; Gombos, Eva C; Chikarmane, Sona A et al. (2017) Computer-aided heterogeneity analysis in breast MR imaging assessment of ductal carcinoma in situ: Correlating histologic grade and receptor status. J Magn Reson Imaging 46:1748-1759
Lu, Fa-Ke; Calligaris, David; Olubiyi, Olutayo I et al. (2016) Label-Free Neurosurgical Pathology with Stimulated Raman Imaging. Cancer Res 76:3451-62
Ciris, Pelin A; Balasubramanian, Mukund; Damato, Antonio L et al. (2016) Characterizing gradient echo signal decays in gynecologic cancers at 3T using a Gaussian augmentation of the monoexponential (GAME) model. J Magn Reson Imaging 44:1020-30
Gombos, Eva C; Jayender, Jagadeesan; Richman, Danielle M et al. (2016) Intraoperative Supine Breast MR Imaging to Quantify Tumor Deformation and Detection of Residual Breast Cancer: Preliminary Results. Radiology 281:720-729
Chikarmane, Sona A; Gombos, Eva C; Jagadeesan, Jayender et al. (2015) MRI findings of radiation-associated angiosarcoma of the breast (RAS). J Magn Reson Imaging 42:763-70
Fedorov, Andriy; Khallaghi, Siavash; Sánchez, C Antonio et al. (2015) Open-source image registration for MRI-TRUS fusion-guided prostate interventions. Int J Comput Assist Radiol Surg 10:925-34
Tauscher, Sebastian; Tokuda, Junichi; Schreiber, Günter et al. (2015) OpenIGTLink interface for state control and visualisation of a robot for image-guided therapy systems. Int J Comput Assist Radiol Surg 10:285-92

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