©2005 Surgical Planning Laboratory, ARR Slide 1 U41: Research resource for Image guided therapy PI: Ferenc Jolesz.

Slides:



Advertisements
Similar presentations
Brigham and Women’s Hospital Image Guided Therapy Program.
Advertisements

Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School User Interfaces and.
3D Slicer in Image Guided Therapy Nobuhiko Hata, PhD Brigham and Women’s Hospital.
Advances in Early Diagnosis and Treatment of Cancer July 17, 2007.
Declaration of Relevant Financial Interests or Relationships Speaker Name: J. Tokuda I have no relevant financial interest or relationship to disclose.
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School 3D Slicer And The NA-MIC.
16 November 2004Biomedical Imaging BMEN Biomedical Imaging of the Future Alvin T. Yeh Department of Biomedical Engineering Texas A&M University.
Computers in Medicine: Computer-Assisted Surgery Medical Robotics Medical Image Processing Spring 2002 Prof. Leo Joskowicz School of Computer Science and.
3D Augmented Reality for MRI-Guided Surgery Using Integral Videography Autostereoscopic Image Overlay Hongen Liao, Takashi Inomata, Ichiro Sakuma and Takeyoshi.
Robert W. Mah, Ph.D. Smart Systems Research Laboratory NASA Ames Research Center Moffett Field, CA 95014
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School Predicting The Future.
Periscopic Spine Surgery Technology Developments in Minimally Invasive Procedures Kevin Cleary, PhD Imaging Science and Information Systems (ISIS) Center.
Image Guided Surgery in Prostate Brachytherapy Rohit Saboo.
Brain tumor analysis By: Ninad Mehendale.
©2005 Surgical Planning Laboratory, ARR Slide 1 Magnetic Resonance Therapy: The Prostate program Clare Tempany MD Director, MRT Program leader & Core Leader.
Slicer IGT and Open IGT Link
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School The AMIGO Project: An.
Tumor Localization Techniques Richard Kao April 10, 2001 Computer Integrated Surgery II.
Bioengineering, Biotechnology, and Imaging November 19, 2007 NCDD Meeting Chair: Barbara B. Bass, MD Vice Chair: David A. Lieberman, MD.
Grade Sheet – HW #2 Name 1: __________________ /Phone: ______________ Role/contribution: ___________ __________________________ Name 2: __________________.
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School Visit of Barbara Alving,
NA-MIC National Alliance for Medical Image Computing Slicer for Neurosurgical Planning IBMSPS th Annual World Congress for Brain.
Future Of Diagnostic Imaging A Look Into The Next Decade ? (Part 3)
Interventional MRI Magnetoencephalography
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School Neurosurgery Alexandra.
Purpose of the Interactive Breath-Hold Control System To improve CT-guided biopsies of the lung or upper abdomen by allowing consistent, optimal visualization.
3D Slicer: A Free & Open Source Platform For Medical Image Analysis and Visualization Brigham and Women’s Hospital.
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School Free Open Source Software.
NA-MIC National Alliance for Medical Image Computing Mechanically Assisted Trans- Rectal Prostate Biopsy DBP2: Prostate Interventions,
Title: Information Guided Therapy Resources Laurence P. Clarke Ph.D. Branch Chief Imaging Technology Development Image Guided Therapy NCI: Biomedical Imaging.
National Alliance for Medical Image Computing Slicer3 Status Update.
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School Overview Ron Kikinis,
DIAGNOSTIC SERVICES What They Do * Perform tests or evaluations that aid in the detection, diagnosis, and treatment of disease, injury or other physical.
Development of Harvard Catalyst Imaging Consultation Service Simon K. Warfield, Ph.D. Valerie Humblet, Ph.D. on behalf of the CTSC Imaging Committee
Medical Image SBIA.UPenn Christos Davatzikos Director, Section of Biomedical Image Analysis Professor, Radiology,
Radiology started with simple traditional x-ray technology.
NA-MIC National Alliance for Medical Image Computing Isomics, Inc. Steve Pieper.
©2005 Surgical Planning Laboratory, ARR Slide 1 Prostate Image Processing Steven Haker, PhD.
NA-MIC National Alliance for Medical Image Computing DBP2: Software Integration for Image Guided Surgery Gabor Fichtinger & Andras Lasso.
What is interventional Radiology? By: Amber Smith.
-1- National Alliance for Medical Image Computing MR-guided prostate interventions using the NA-MIC Kit Danielle Pace, B.CmpH and Sota Oguro, M.D. Surgical.
Surgical Planning Laboratory Brigham and Women’s Hospital Boston, Massachusetts USA a teaching affiliate of Harvard Medical School Why Open-Source Will.
MRI IN PROSTATE CANCER MAHYAR GHAFOORI M.D. Associate Professor of Radiology Tehran University Of Medical Sciences.
-1- National Alliance for Medical Image Computing MR-guided prostate interventions using the NA-MIC Kit Danielle Pace, B.CmpH and Sota Oguro, M.D. Surgical.
Nanoparticles for Medical and Surgical Tumor Therapy Departments of Radiology, Oncology and Biomedical Engineering Emory University School of Medicine.
Medical Robotics UH MRI-guided Robotic Interventions and Surgeries This technology was supported by the NSF award CNS entitled “Multimodal.
HIFU AND CRYOSURGERY David Spellberg M.D., FACS.
Date of download: 6/2/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Comparison of MR/Ultrasound Fusion–Guided Biopsy With.
© NIH National Center for Image-Guided Therapy, June 2008 Slicer IGT Nobuhiko Hata, PhD Sandy Wells, PhD Computation Core, NCIGT.
Engineering Research Center for Computer Integrated Surgical Systems and Technology Copyright © 2010 R. H. Taylor About 100 people: > 10 faculty > 15 postdocs.
©2005 Surgical Planning Laboratory, ARR Slide 1 AMIGO: Advanced Multimodality Image-Guided Operating room Randy Ellis, Ph.D.
An Open Source Platform for Registration, Segmentation, Quantitative Analysis, and Visualization of Biomedical Image Data 3D Slicer About 3D Slicer Segmentation.
QIN Informatics and Software Tool Sharing 3D Slicer Andriy Fedorov, Brigham and Women’s Hospital
The potential of Interventional radiology
1123 Procedures in AMIGO 08/31/ /29/2016
1233 Procedures in AMIGO 08/31/ /04/2016
Development of Harvard Catalyst Imaging Consultation Service
Ron Kikinis, MD Professor of Radiology, Harvard Medical School
1086 Procedures in AMIGO 08/31/ /25/2016
Erica V. Bloomquist, MD Heather Wright, MD
Tumour-Targeted Treatment Intensification for Prostate Cancer Using Magnetic Resonance Imaging Guidance  Jessy Abed, RTT, MHScMRS, Jenny Lee, MMath, Tim.
The potential of Interventional radiology
Computers and Medicine
Robotic Needle End Arm Effector for Integration With CT Scan
Challenges in Translational Research
Image Computing and Image-guided Interventions
Oncology Market Forecast
Grade Sheet – HW #2 Problem Problem 1.2.a 10
What is 3D Slicer? Nobuhiko Hata, PhD.
Presentation transcript:

©2005 Surgical Planning Laboratory, ARR Slide 1 U41: Research resource for Image guided therapy PI: Ferenc Jolesz

©2005 Surgical Planning Laboratory, ARR Slide 2 U41 Image guided therapy Background & Significance –IGT technology growth –Clinical imaging growth Aim –Advance and propagate novel image guided procedures To dev and implement IGT technologies and allow rapid deployment in clinic

©2005 Surgical Planning Laboratory, ARR Slide 3 U41 program outline Technology Research & Development cores Admin core Biostatistics & Validation core Collaborations –Internal (11) –External (8)

©2005 Surgical Planning Laboratory, ARR Slide 4 Program outline 5 TRD cores –Computational Leader: Ron Kikinis –Imaging Leader: Larry Panych –MRI-guided therapy Leader: Clare Tempany –Image guided Brain tumor surgery Leader: Alex Golby –Focused Ultrasound Leader:Kullervo Hynynen

©2005 Surgical Planning Laboratory, ARR Slide 5 Training & Dissemination Leaders: John Carrino & Nancy Drinan Continuous activities on site –First Monday seminars R25 training grant Visiting fellowships Post docs, doctoral students Graduate and undergraduate students

©2005 Surgical Planning Laboratory, ARR Slide 6 Collaborations Technology based –Advancing imaging and image processing into the OR of the future AMIGO Testing utility of IG –Interventional Radiology –Surgery –Cancer therapy –Cardiology (FUS ablation)

©2005 Surgical Planning Laboratory, ARR Slide 7 U41 Collaborative projects Internal (11) NIH funded grants – d2.1 G CT R01 AG MR guided prostate diagnosis and brachytherapy External (8) NIH grants with BWH collaborators –d2.1p Christos Davatzikos 1R01 CA Targeted prostate biopsy using mathematical optimization

©2005 Surgical Planning Laboratory, ARR Slide 8 External collaborations Major groups GE –Doumoulin/Pelc 3 projects stem from the Engineering research center for computed surgical systems and technology (CISST ERC)of Johns Hopkins –Targeted biopsy (Christos Davatzikos) –Transrectal prostate therapy robot in closed MRI scanner (Gabor Fichtinger)

©2005 Surgical Planning Laboratory, ARR Slide 9 MRI guided therapy core Neurosurgery Prostate program Interventional radiology –Tumor ablation program (SGS0 –Spine interventions (JC)

©2005 Surgical Planning Laboratory, ARR Slide 10 TRD core and collaborative interactions: An example Prostate intervention –Paradigm shift Improved image quality –Higher field strength magnets Magnet design issues –Closed bore systems MRT core Internal collaboration External collaboration

©2005 Surgical Planning Laboratory, ARR Slide 11 Overlaid Choline/Citrate image Prostate Image guided diagnosis & therapy Infrastructure FEM Based Deformation Mutual Information MR Robotics Brachytherapy High Performance Computing Gigabit networkTerabyte storage Prostate biopsy Detection Staging Treatment monitoring SPL

©2005 Surgical Planning Laboratory, ARR Slide 12 Optimized biopsy project * NIH R01 PI: Davatzikos et al left right Probability of cancer occurrence shown in green (left) and its adaptation (middle) to a stack of segmented intra-operative MR images obtained at the BWH (right). Optimal biopsy sites are transferred to the patient's space.

©2005 Surgical Planning Laboratory, ARR Slide 13 Validation methods Pre-clinical –IGT technology-imaging system, guidance and monitoring techniques-organ/disease specific IGT Procedural –Image registration & segmentation DICE- Statistical analysis of registration matching Staple- analysis of expert and automated methods –Procedure Feasibility Safe and effective Treatment specific -Cancer specific goals –Patient safety, toxicity profiles, Cancer control-long and short term outcomes

©2005 Surgical Planning Laboratory, ARR Slide 14 3T endorectal coil MRI Bob Lenkinsky & Neil Rofsky BIDMC

©2005 Surgical Planning Laboratory, ARR Slide 15 Open vs Closed bore magnet design

©2005 Surgical Planning Laboratory, ARR Slide Tempany CMC, McNeil BJ. Advances in biomedical imaging. JAMA 2000; 285(5):