1 / 27

Successes and Challenges in Effectors and Scanner Control

Successes and Challenges in Effectors and Scanner Control. Nobuhiko Hata, PhD Brigham and Women’s Hospital. Issues. Basic functions for Image Guided Therapy (visualization, image I/O, patient-to-image registration) are relatively easy to implement (thanks to VTK and ITK)

thai
Download Presentation

Successes and Challenges in Effectors and Scanner Control

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Successes and Challenges in Effectors and Scanner Control Nobuhiko Hata, PhD Brigham and Women’s Hospital

  2. Issues • Basic functions for Image Guided Therapy (visualization, image I/O, patient-to-image registration) are relatively easy to implement (thanks to VTK and ITK) • Challenge 1: Develop and apply new medical image processing methods to enable new therapy options • Challenge 2: Provide meeting point for robotics, medical image processing, and bio-physics

  3. Objective • Open source software 3D Slicer • Modular architecture for multiple IGT applications • Integration to FDA-approved commercial systems • Issues

  4. Slicer • 1996: Carl-Fredrick Westin (newly hired post-doc) and Noby Hata (SPL grad student) developed prototype using VTK-beta • 1997: First MR-guided neurosurgery • Dave Gering (MIT grad student) re-design the software • Lauren O'Donnell (1999-), Steve Pieper (2001-) • Pis: Ron Kikinis, Ferenc Jolesz, Eric Grimson, William Wells III

  5. Slicer 97

  6. Multiple applications • Software design to maximize function commonalities among applications • Brain (biopsy, craniotomy, NdYAG laser ablation) • Prostate (brachytherapy, biopsy) • Liver and kidney (Microwave, laser ablation) • Endoscopy (neuroendoscopy)

  7. DICOM image transfer Visualization Navigation Image registration Neurosurgery

  8. “Multi-modality” MRIg Surgery Registration is the key-enabling technology

  9. MR-guided Liver ablation Therapy ACADEMIC RADIOLOGY 10 (12): 1442-1449 DEC 2003

  10. MRI-guided Thermal Therapy • Image display • DICOM transfer • Thermal mapping (modifying fMRI module) Comput Med Imaging Graph

  11. MRI-guided prostate therapy DICOM image transfer Rigid and non-rigid image registration Planning Scanner control Radiology 220(1), 263-268, 2001

  12. Slicer with Hitachi scanner DICOM image transfer Patient-to-image registration Navigation Tumor segmentation for resection monitoring

  13. Pituitary tumor in horizontal open-MRI 3D Slicer (Freeware) Navigation tool for image-guided therapy

  14. Intraoperative Tumor Segmentation • ITK-VTK-Slicer • Fuzzy connectivity • 30+ cases at 0.3T Hitachi Horizontal gap scanner Hata N, Muragaki Y, Inomata T, Maruyama T, Iseki H, Hori T, Dohi T. Intraoperative tumor segmentation and volume measurement in MRI-guided glioma surgery for tumor resection rate control. Acad Radiol. 2005;12(1):116-22.

  15. 3D Slicer Segmentation Pre-Op to Intra-Op image registration Navigation Toshiba navigation (pre-commercial) TCP/IP peer-to-peer connection Patient-to-image registration result Tracking data Linking commercial navigation and research software

  16. Slicer for Surgical Robot Robot as tracking device

  17. Slicer with Hitachi scanner

  18. System Integration to Signa/SP • Off-the-shelf system + 3D Slicer MRT Workstation TPS BIT-3 Image Transfer 0.5fps Image Transfer 0.5fps Slicer 10 Mbps

  19. System Integration to Signa/SP • (Pre-) MR Slicer MRT Workstation TPS BIT-3 Echo transfer 128fps Echo Transfer 128fps Slier Image Transfer 32fps Recon 100 Mbps

  20. GE Medical Systems Signa Horizon LX System • Host • SGI Workstation / MIPS Based Processor • IRIS Operating System (SGI) • Transceiver, Processing and Storage (TPS) • VME / Motorola Based Processor • VxWorks (Wind River) Scanner TPS Host

  21. Reconstruction WS • CPU: Intel Pentium4 2.8 GHz (i850 Chipset) • Memory: 512MB (PC1066 RIMM) • Graphics: nVIDIA GeForce4 MX440 • OS: RedHat Linux 7.3, Kernel 2.4.18 with nVIDIA Graphics Driver • Software • Real-time display of echo and k-space • Real-time image reconstruction • Navigator-echo based matching • Host control

  22. MR Image reconstruction(+motion tracking)

  23. Slicer as Interface

  24. Pre-operative Diagnostic Imaging Intra-operative imaging IGT software as an integration platform Image Processing Image Processing Navigation Navigation Registration Tracking probe Observation Robot Action Physician Treatment Patient

  25. Issues • Basic functions for Image Guided Therapy (visualization, image I/O, patient-to-image registration) are relatively easy to implement (thanks to VTK and ITK) • Challenge 1: Develop and apply medical image processing technology to enable new therapy options • Challenge 2: Provide meeting point for robotics, medical image processing, and bio-physics • Do not think IGT software as free navigation system • Think IGT software as an integration platform TO ENABLE NEW THERAPY

More Related