The overall goal of the National Center of Image-guided Therapy (NCIGT) is to develop novel tumor localization and targeting technologies for achieving complete resection or focal ablation of cancer with preservation of structure and function of adjacent normal tissues. We will achieve this by improving tumor characterization with accurate definition of its margin, localization and targeting of diseased tissue, and using image guidance technologies to optimize surgical and interventional treatments for improving outcomes and decreasing complications by reducing adjacent tissue damage. We have four TR&Ds: The Prostate TR&D will develop novel platforms to allow for molecular profiling of prostate cancer and imaging to allow for improved predictive markers for guiding biopsy and focal therapy, and by use of image processing methods for monitoring treatment effect. The Neurosurgery TR&D will use a molecular biomarker, mass spectrometry, for intraoperative surgical decision making to better define tumor extent. Advanced functional mapping using fMRI+DTI will be used for individualized treatment planning. The Computation TR&D will develop specialized multimodal image registration algorithms and custom hardware for motion compensation to improve tumor localization and functional mapping. The Guidance TR&D will develop novel instrument and tumor tracking technologies to accurately deliver therapy despite significant physiological motion and tissue deformation. The proposed Image-Guided Therapy methods that introduce new ways to visualize images, guide procedures, and track changes will be integrated with our open source software platform, 3D Slicer.

Public Health Relevance

The main challenge of tumor surgeries is to achieve the complete removal or destruction of tumors with minimal or no damage to adjacent normal tissues and their functions. There are several obstacles and limitations that prevent us to realize this vision of 'ideal precision surgery'. We propose new, innovative technological solutions for more effective and at the same time less invasive tumor treatment solutions that can provide better outcomes with much less complications than current surgical and/or interventional methods.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB015898-15
Application #
9747286
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Duan, Qi
Project Start
2004-04-01
Project End
2021-06-30
Budget Start
2019-07-01
Budget End
2021-06-30
Support Year
15
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
King, Martin T; Nguyen, Paul L; Boldbaatar, Ninjin et al. (2018) Long-term outcomes of partial prostate treatment with magnetic resonance imaging-guided brachytherapy for patients with favorable-risk prostate cancer. Cancer 124:3528-3535
Özarslan, Evren; Yolcu, Cem; Herberthson, Magnus et al. (2018) Influence of the size and curvedness of neural projections on the orientationally averaged diffusion MR signal. Front Phys 6:
Hassanzadeh, Elmira; Alessandrino, Francesco; Olubiyi, Olutayo I et al. (2018) Comparison of quantitative apparent diffusion coefficient parameters with prostate imaging reporting and data system V2 assessment for detection of clinically significant peripheral zone prostate cancer. Abdom Radiol (NY) 43:1237-1244
Wachinger, Christian; Toews, Matthew; Langs, Georg et al. (2018) Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans Med Imaging :
Kim, Alexander J; Basu, Sankha; Glass, Carolyn et al. (2018) Unique Intradural Inflammatory Mass Containing Precipitated Morphine: Confirmatory Analysis by LESA-MS and MALDI-MS. Pain Pract 18:889-894
Zhang, Fan; Savadjiev, Peter; Cai, Weidong et al. (2018) Whole brain white matter connectivity analysis using machine learning: An application to autism. Neuroimage 172:826-837
Aksit Ciris, Pelin; Chiou, Jr-Yuan George; Glazer, Daniel I et al. (2018) Accelerated Segmented Diffusion-Weighted Prostate Imaging for Higher Resolution, Higher Geometric Fidelity, and Multi-b Perfusion Estimation. Invest Radiol :
Essayed, Walid I; Unadkat, Prashin; Hosny, Ahmed et al. (2018) 3D printing and intraoperative neuronavigation tailoring for skull base reconstruction after extended endoscopic endonasal surgery: proof of concept. J Neurosurg :1-8
Zhang, Shelley HuaLei; Maier, Stephan E; Panych, Lawrence P (2018) Improved spatial localization in magnetic resonance spectroscopic imaging with two-dimensional PSF-Choice encoding. J Magn Reson 290:18-28
Jiang, Baichuan; Gao, Wenpeng; Kacher, Daniel et al. (2018) Kalman filter-based EM-optical sensor fusion for needle deflection estimation. Int J Comput Assist Radiol Surg 13:573-583

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