Surface contour scanning system

Slides:



Advertisements
Similar presentations
XProtect ® Professional Efficient solutions for mid-sized installations.
Advertisements

Harvard Medical School Massachusetts General Hospital.
Test Automation Success: Choosing the Right People & Process
The Therac-25: A Software Fatal Failure
Awareness - Information - Understanding. What is PEARL? Simply – A Virtual Linac on your desk  communicate Linac machine size and sounds to patients.
How Technologies can be used to provide flexibility in asset monitoring By Daniel Stephens.
10th Annual Lung Cancer Conference Radiation Oncology
AXIS Camera Station Flexible surveillance software for your Axis network video products Sales Presentation Welcome to this short presentation of the.
System Challenges in Image Analysis for Radiation Therapy Stephen M. Pizer Kenan Professor Medical Image Display & Analysis Group University.
Copyright ©2008 Accuray, Incorporated. All rights reserved E CyberKnife ® Robotic Radiosurgery System Radiosurgery System Comparisons.
Radiation Protection and Diagnostic Imaging Physicist
TALOS Total ATM Life-cycle operational Solution. The Cost equation Life cycle costs are high Life cycle costs are complex Life cycle costs involve all.
Lindab Pascal - Simplified VAV solution with full potential...
Advances in Early Diagnosis and Treatment of Cancer July 17, 2007.
Varian _ Dynamic Targeting TM Image-Guided Radiation Therapy Scott Johnson, PhD Varian Medical Systems Palo Alto, California Varian _.
The TrueBeam System ™ Clinic Name Presenter’s name Clinic location
Alamance Regional Cancer Center 2012
Real-time tumor tracking with preprogrammed dynamic MLC motion and adaptive dose-rate regulation B.Y Yi, S. Han-Oh, F. Lerma, B. Berman, C. Yu.
Quality Assurance: Manufacturer & Clinical Aspects  Alan Cohen, M.S. DABR  Paul Naine, MSc. MIPEM  Jim Schewe, PhD, DABMP Accuray Incorporated Elekta.
Developed by Reneta Barneva, SUNY Fredonia The Process.
MULTIMEDIA ALARM SERVICES. The current Alarms Business Model.
A user-friendly, stand alone system for sensitive and reliable breath-hold monitoring.
Radiotherapy Planning for Esophageal Cancers Parag Sanghvi, MD, MSPH 9/12/07 Esophageal Cancer Tumor Board Part 1.
C01H063 rev 001. Respiratory Motion Effect in Radiation Therapy Relevant Sites: Thorax, Abdomen, Pelvis, Left Breast C01H063 rev 001.
Challenges for TPS Chunhua Men Elekta Software, Treatment Planning System BIRS Workshop Banff, Canada 3/12/2011.
Safety Consideration Software limits on robot controller Limit switches on the robot “wrist” to prevent excess rotations Limit switches on the vertical.
External Beam Radiation Therapy Special Procedures
Navigation in Robotic Radiosurgery Achim Schweikard.
Test of the proposed method Introduction CCD Controller CCD Illuminator gel Filter 585nm Assembling the phantom before its irradiation. The phantom, ready.
Comparison of Clinical Parameters for Proton Therapy in the United States Paige Summers, MS.
4D Stereotactic Lung IMRT Planning using Monte-Carlo Dose Calculations on Multiple RCCT-based Deformable Geometries Matthias Söhn1, Di Yan2 and Markus.
1 4D: Adaptive Radiotherapy & Tomotherapy Bhudatt Paliwal, PhD Professor Departments of Human Oncology & Medical Physics University of Wisconsin Madison.
May 19-20, Quantitation, both single point and longitudinal*, of tumor metabolism via FDG-PET/CT that can be used practically and efficiently as.
H. MAINAUD DURAND PACMAN WP1 OUTLINE Tasks & role of associated partner Plans for training.
Learn More At: CyberKnife Radiosurgery in the Treatment of Early and Advanced (Oligo-Metastases) Breast Cancer Sandra Vermeulen,
Sales Objections and FAQ’s 940-LC Analytical to Preparative Systems.
Medical Accelerator F. Foppiano, M.G. Pia, M. Piergentili
Integrating the Health Care Enterprise- Radiation Oncology Use Case: In Vivo Patient Dosimetry Editor: Juan Carlos Celi - IBA Reviewer: Zheng Chang – Duke.
Clinical decisions in the optimization process I. Emphasis on tumor control issues Avi Eisbruch University of Michigan.
RESULTS 4D-Computed Tomography Guided Treatment Planning for Intrahepatic Tumors Yen-Lin Chen, M.D. 1,2, Eike Rietzel, Ph.D. 1,2, Judith Adams 1,2, John.
Portable Patient Training Device for Lung Cancer Treatment Thomas Chia Jason Ethington Brent Geiger Kawai Chan Client: Bhudatt Paliwal, PhD Advisor: Willis.
Principles and Practice of Radiation Therapy
TPS & Simulations within PARTNER D. Bertrand, D. Prieels Valencia, SPAIN 19 JUNE 2009.
Visualization of Tumors in 4D Medical CT Datasets Visualization of Tumors in 4D Medical CT Datasets Burak Erem 1, David Kaeli 1, Dana Brooks 1, George.
Somvilai Mayurasakorn, MD. Division of Therapeutic Radiology and Oncology, Faculty of Medicine, Chiang Mai University Somvilai Mayurasakorn, MD. Division.
1 The ILC Control Work Packages. ILC Control System Work Packages GDE Oct Who We Are Collaboration loosely formed at Snowmass which included SLAC,
© 2013 MITSUBISHI HEAVY INDUSTRIES, LTD. All Rights Reserved. An example of Technical Innovation Cascade Dynamic Tracking Radiation Therapy System US-Japan.
 Multidisciplinary Effort › Surgery › Radiation › Systemic Rx (chemo, “drugs”)
Carmel McDerby Clatterbridge Centre for Oncology, Merseyside,UK
Senior Inspect. Who are we? What do we do? How do we do it? What have we done? How much does it cost? How can we cooperate in the project?
A DSP based on on-line UPS R.Padamaja G.Mamatha Reddy EEE EEE S.V.C.E S.V.C.E BY.
Treatment Chart Record of patients radiation therapy history. Must contain: History and diagnosis Rationale for treatment Treatment plan Consent Documentation.
General Engineering Research Institute
Medical Dosimetry Presented by (Add Hospital name) in conjunction with The American Association of Medical Dosimetrists.
Martin J Murphy PhD Department of Radiation Oncology
Dr. Malhar Patel DNB (Radiation Oncology)
Normal Chest and Abdominal Tumor Motion in Radiation Therapy Treatment Planning: A Review of Recommendations and Investigation of Current Practices Dylan.
You Zhang, Jeffrey Meyer, Joubin Nasehi Tehrani, Jing Wang
Kasey Etreni BSc., MRT(T), RTT, CTIC
INTRODUCTION RESULTS DATA ANALYSIS DISCUSSION METHODS REFERENCES
Image–Guided Radiation Therapy for Non–small Cell Lung Cancer
Software Requirements
CT-based surrogates of pulmonary ventilation in lung cancer:
Reducing Treatment Time and MUs by using Dynamic Conformal Arc Therapy for SBRT Breath-Hold Patients Timothy Miller, Sebastian Nunez Albermann, Besil Raju,
Radiation Oncology New Techniques + Technologies
Volumetric Modulated Arc Therapy (VMAT) versus Intensity Modulated Radiation Therapy (IMRT) for Anal Carcinoma Heather Ortega, BSRT(T), CMD, Kerry Hibbitts,
Image–Guided Radiation Therapy for Non–small Cell Lung Cancer
Project planning and status (May 2018)
GHG meeting at ESTRO36 May, 2017
Evaluation of Average CT to reduce the artifact in PET/CT
Presentation transcript:

Surface contour scanning system - Improved accuracy and efficiency High level of integration Multiple applications

Laser-Camera Technology Optical triangulation

Sentinel, LS100 - Discrete installation - Technical evaluation at Karolinska, Stockholm - Clinical evaluation in Uppsala - First installation in Uppsala

Sentinel, LS200 - Attractive design - Simpler installation - Service friendly - Design ready Q1 2007 - Delivery Q2 2007

Sentinel system – SW and HW High level of user friendliness Connectivity Simplicity Efficiency

Connectivity - Network support

Sentinel – multiple applications Patient Positioning Motion Detection Respiratory Gating

Sentinel – Patient Positioning cPOSITIONING Improved accuracy Efficient workflow User friendly No additional markers No added radiation

User friendliness – Clinical mode

User friendliness – Advanced mode

Efficiency - Performance and Work flow Scan time is typically 3-5 seconds Surface matching takes typically 1 second Sub-millimetre accuracy

Sentinel – Motion Detection cMOTION Does not require active supervision Visualization Recording Alarm

cMOTION workflow cMOTION Integrated workflow with cPOSITITION or Stand-alone functionality Markerless solution Alternative to manual supervision (camera + monitor), userfriendly solution. cPOSITIONING cMOTION

Sentinel – Respiratory Gating cRESPIRATION Respiratory gating in the Sentinel system

Respiratory motion can affect the delivered dose distribution Background Respiratory motion can affect the delivered dose distribution Especially in the thorax/abdominal region Available solutions Increased margins More dose will be delivered to the surrounding healthy tissue Organs at risk must still be protected, which may be very difficult if they move near or into the desired target volume Gated treatment Dose delivery is synchronized with respiratory motion Potential for dose escalation, resulting in higher delivered dose to the tumor while healthy tissue is spared The correlation between internal and external (surrogate) motion must be known

Establishing correlation How can we establish the correlation between internal and external motion? 4D CT study Gated fluoroscopy (on a conventional simulator) End exhale End inhale 0% 100% Amplitude Gating window

Inter- and intrafractional variations Breathing patterns Inter- and intrafractional variations Changes in frequency and amplitude Thoraxic vs. abdominal breathing Irregularities (coughing, unexpected breath hold, patient movement) Solution Coached breathing/biofeedback Parallel monitoring of both thoraxic and abdominal respiratory motion Algorithms for detecting irregularities

The cRespiration workflow 3D CT study (gated) Gated CT study (retrospecive/ prospective) Gated treatment planning and delivery Gating parameters

Prospectively gated CT study CT room CT 3D CT study (gated) Establishing of gating parameters Real-time generation of gating signal Gating parameters Patient LS Respiratory signal

Retrospectively gated CT study CT room CT Sorting of CT data according to respiratory phase Selection of phases suitable for treatment 3D CT study (ungated) 3D CT study (gated) 4D CT study Patient Gating parameters LS Respiratory signal

Gated treatment planning and delivery Treatment room Treatment planning LINAC treatment delivery 3D CT study (gated) RT plan Gating enable (SW/HW) Real-time generation of gating signal Patient LS Respiratory signal Gating parameters

The cRespiration concept Simplicity No markers to be placed Integrated workflow through the whole process Confidence No additional dose Sub-millimeter accuracy, measured at the same locations every fraction without manual guidance Parallel monitoring of thoraxic and abdominal breathing Immediate detection of irregular breathing or patient motion Versatility Support for several modes of operation – deep inspiration/end expiration breath hold, as well as coached and free breathing Tight integration with CT and Linac equipment from major vendors

Milestones June 2008: Clinical validation activities begin In cooperation with the Academic hospital in Uppsala Philips Big Bore CT Elekta Precise Linac July 27-30 2008: AAPM in Houston, Texas First public demo of the cRespiration module Q4 2008: Commercial release to all markets 2009: Support for additional CT and Linac equipment, e.g. Varian, GE, Siemens

Sentinel - Integration in a RT clinic, c4D software System modules Patient alignment Full network support Motion detection (available Q2 2008) Gating functionality (available Q4 2008) Interfaces DICOM-RT interface for patient setup Interface to Elekta iCOM Interface to Varian 4D console Interface to Visir R&V Interface to Hexapod couch (Q2 2008)