Medical Device Innovation Examples and Lessons From the MEDRC Brian W. Anthony Co-Director, Medical Electronics Device Realization Center Director, Master of Engineering in Manufacturing Program © 2013 MIT Outline MEDRC – Medical Electronics Device Realization Center. One example project from the MEDRC. © 2013 MIT Medical Electronics Device Realization Center MEDRC © 2013 MIT Medical Electronic Device Realization Center - MEDRC Medical Devices Device Realization Research at the intersection of Medical Tech, Electronics, Data, and Tangible Devices Impact clinical needs, by innovating usable and manufacturable devices, leveraging the power of the semiconductor industry and Boston / Cambridge Ecosystem. Micro Electro nics Tangible Devices Big Data © 2013 MIT MEDRC – Collaboration Partners Industry, academics, and clinicians maximizes chance of project success. Industrial scientist on-site at MIT company stays engaged, project stays relevant, technology transferred to the company. Early prototypes placed in “customers” (clinicians) hands in parallel with research technology development. Employees MIT MEDRC Needs, Perspectives Companies Hospitals, Physicians © 2013 MIT Our Vision – Ecosystem Medical Electronic Device Solutions – devices, applications, systems. Strong interaction between medical device / microelectronics companies and physicians / clinicians. Research to lead to technology results that Industrial Sponsors can turn into products. Boston: Medical Device Hub © 2013 MIT Sensor-Data-Information-Use System Flow Health Care Sytem Data: Hospital Patient Sensors Acquire Analyze Distribute Information for defined Needs: Use © 2013 MIT Sensor-Data-Information-Use System Flow Supply Chain Data: Factory Machine Sensors Acquire Analyze Distribute Information for defined Needs: Use © 2013 MIT Need ‘State of health' information* can: Prevent worsening of [clinical] status, Early intervention, Reduce the need for emergency care Reduce [health] care costs, Improve outcomes and quality of [health care], Increase quality lifespan, and Lead to new understandings. ER Disease Acuity (Severity) Office visit Home $ Cost $$$$$ Health Care System © 2013 MIT Information over time © 2013 MIT Application Areas and Technology Examples Wearable Devices Vital signs monitors including cuffless blood pressure Minimally Invasive Monitors EEG measurements for Epilepsy patients “Point of Care” Instruments “Lab on a Chip” for blood, urine, saliva analysis Imaging Smart Ultrasound Data Communication Body Area Network © 2013 MIT Highlighting new and cross pollination of technologies ENHANCED ULTRASOUND © 2013 MIT Increasing the Productivity (usability), Cost Effectiveness, and Diagnostics Capability of Ultrasound Imaging Systems © 2013 MIT Rate Increasing the Productivity Cost Effectiveness, (usability), Cost and Diagnostics Capability of Quality Ultrasound Imaging Systems © 2013 MIT Ultrasound System Flow Contact State ˆ ˆ ˆ F contact , xrel , rel Imagery Analysis Diagnostics © 2013 MIT Ultrasound System Flow Contact State ˆ ˆ ˆ F contact , xrel , rel Imagery Analysis Diagnostics © 2013 MIT Sonographer variation © 2013 MIT 1 Sonographer, 3 Patients 40 BMI 36 BMI 24 BMI ~25? 35 force (N) 30 25 20 15 10 5 0 -5 0 100 200 300 400 500 600 700 800 time (sec) Mean force (N) BMI 36, BMI 24, BMI 25, Run 579 Run 114 Run 116 14.1 4.5 5.2 © 2013 MIT Force Variation 16 1 5 13 33 Mean axial force (N) #Years Experience 14 12 10 8 6 Female sonog. Male sonog. 4 18 20 22 24 26 28 Patient BMI 30 32 34 36 © 2013 MIT Ultrasound System Flow Contact State Analysis ˆ ˆ ˆ F contact , xrel , rel Diagnostics Imagery Machine Intelligence Assistance, Guidance Desired State Fcontact, xrel , rel © 2013 MIT Enhanced Ultrasound Probes Human-in-the-loop Position and Orientation Control Automatic Force Control © 2013 MIT Force control, haptics applied to Imaging Process FORCE CONTROL AND MEASUREMENT PROBES © 2013 MIT Video © 2013 MIT In the clinic… © 2013 MIT Force Probes – Clinical Tests - Increased Information from controlled acquisition Matthew Gilbertson, Shih-Yu Sun, Aaron Zakrzewski, Bill Vannah, Sisir Koppaka, Brian Anthony Force-controlled probe DMD clinical tests at Boston Children’s Hospital (prototype 3) Tissue Properties Force = 5N Force = 5.5N Elasticity image QUS Biomarkers for DMD Progression Video © 2013 MIT DMD and Control © 2013 MIT DMD and Control - Processed © 2013 MIT DMD and Control - Processed Quantities (“MEASUREMENTS”) extracted from Ultrasound Images depend on applied force. © 2013 MIT DMD vs Control – Classification Performance Classification Performance 100% Known acquisition state is important. Unknown state. 0% Muscles © 2013 MIT Computer vision, mobile robotics applied to body mapping FREEHAND LARGE VOLUME 3D © 2013 MIT Probe– Concept Ultrasound probe equipped with a camera © 2013 MIT Probe Tracking for Freehand Large Volume 3D © 2013 MIT Skin Features abdomen neck lower leg © 2013 MIT Video © 2013 MIT Video © 2013 MIT In-Vitro: curved surface volume error: +6.30% © 2013 MIT In-Vivo: femoral artery © 2013 MIT 6-DOF Ultrasound Probe Tracking (via Skin Mapping) Matthew Gilbertson, Shih-Yu Sun, Aaron Zakrzewski, Bill Vannah, Sisir Koppaka, Brian Anthony In-Vivo: femoral artery Skin feature tracking. © 2013 MIT Reslice v.s. Real Scan – neck reslice reslice direct direct © 2013 MIT Reslice v.s. Real Scan – abdomen reslice direct © 2013 MIT Computer vision, mobile robotics applied to body mapping. Manufacturing process control applied to patient monitoring. FREEHAND ULTRASOUND REALIGNMENT © 2013 MIT Realignment Goal: Move the probe to a target pose, at which an US scan has been previously acquired. www.radiologyinfo.org © 2013 MIT Realignment – Intuitive Interface © 2013 MIT Video © 2013 MIT Realignment – (difference images) …during realignment process… …at realignment. © 2013 MIT Technology Cross-Pollination Workflow analysis applied to medical imaging workflow enhancement Force control, haptics applied to Imaging Process Computer vision, mobile robotics applied to body mapping Manufacturing process control applied to patient monitoring © 2013 MIT Enhanced Probes and Workflow Enhances ability to get quantitative information out of US imagery Dimensions, Volumes, Tissue properties, “Image Measurements” Enhances “visibility” into the US imaging process Repeatable acquisition Detect change Reduce training © 2013 MIT Summary – Fostering Innovation in Medical Devices MEDRC – Medical Electronics Device Realization Center. Part of Boston Medical Innovation Ecosystem Partners and proximity matter. Enhanced Ultrasound One example project from the MEDRC. Highlighting new and cross pollination of technologies Culture Pre-competitive collaboration Employees MIT MEDRC Challenges, Perspectives Companies Hospitals, Physicians Ecosystem Professional Capital Big and Small Partners Pharma Bio … © 2013 MIT Thanks to Matthew Gilbertson Shih Yu Sun Aaron Zakrzewski Sisir Koppaka Bill Vanah, PhD Anthony Samir, MD Seward Rutkove, MD The Mass General Hospital Boston Children’s Hospital Singapore MIT Alliance GE Healthcare ADI Maxim © 2013 MIT Thank you. Medical Device Innovation Examples and Lessons From the MEDRC Brian W. Anthony PhD banthony@mit.edu © 2013 MIT