Dynamic Texture Mapping of 3D models for Stiffness map Visualization

Slides:



Advertisements
Similar presentations
A New Generation of Surgical Technique: Telesurgery Using Haptic Interfaces By Sarah L. Choy ~ A haptic interface is a force reflecting device which allows.
Advertisements

Robot Assisted Cardiac Surgery Course: Cardiovascular Imaging Submitted by: Alper Yaman Instructor: Assoc. Prof. Dr. Cengizhan Öztürk.
Results/Conclusions: In computer graphics, AR is achieved by the alignment of the virtual camera with the actual camera and the virtual object with the.
COMPUTER-AIDED SURGICAL PLANNING AND PROCEDURES A.Schaeffer; PolyDimensions GmbH, Bickenbach.
Carol Reiley Johns Hopkins University
Parallel Tracking and Mapping for Small AR Workspaces Vision Seminar
CSE 803 Fall Combining real imagery with computer generated imagery Virtual reality; Augmented reality; Teleorobotics.
Combining real imagery with computer generated imagery Virtual reality; Augmented reality; Teleorobotics.
Stereotactic Radiosurgery Jimmy Johannes Physics 335 – Spring 2004 Final Presentation
3D Augmented Reality for MRI-Guided Surgery Using Integral Videography Autostereoscopic Image Overlay Hongen Liao, Takashi Inomata, Ichiro Sakuma and Takeyoshi.
Mixed Reality Research in Design Xiangyu Wang, Ph.D. Design Computing Honour Pre. Seminar March 2008.
InerVis Mobile Robotics Laboratory Institute of Systems and Robotics ISR – Coimbra Contact Person: Jorge Lobo Human inertial sensor:
Rosa Mª Avila Laia Bayarri Cristina Lopera 4r B Ivón Cardenas Maths in English: statistics and its applications Artificial vision.
Vision Guided Robotics
SUBMITTED TO SUBMITTED BY Lect. Sapna Gambhir Neha MNW-888-2k11 CN.
Robot Vision SS 2007 Matthias Rüther ROBOT VISION 2VO 1KU Matthias Rüther.
Introduction Methods Conclusion References [1] G Gauvin et al., "Real-Time Electromagnetic Navigation for Breast Tumor Resection: Proof of Concept," in.
Computer Assisted Surgery and Medical Image Analysis Computer Vision Group Artificial Intelligence Laboratory Massachusetts Institute of Technology Surgical.
S URGICAL R OBOTICS U NIT Presented By:. BACKGROUND: Surgical robotics is a new technology that holds significant promise. Robotic surgery is often heralded.
Visual Perception PhD Program in Information Technologies Description: Obtention of 3D Information. Study of the problem of triangulation, camera calibration.
(Wed) Young Ki Baik Computer Vision Lab.
Introduction Surgical training environments as well as pre- and intra-operative planning environments require physics-based simulation systems to achieve.
Procedural Haptic Texture Jeremy Shopf Marc Olano University of Maryland, Baltimore County.
3D Mammography Ernesto Coto Sören Grimm Stefan Bruckner M. Eduard Gröller Institute of Computer Graphics and Algorithms Vienna University of Technology.
Possibility of using a continuum master device to control a continuum surgical robot Ho Man Ng Imperial College Biomedical Engineering (BEng)
Stereoscopic Video Overlay with Deformable Registration Balazs Vagvolgyi Prof. Gregory Hager CISST ERC Dr. David Yuh, M.D. Department of Surgery Johns.
HCI 입문 Graphics Korea University HCI System 2005 년 2 학기 김 창 헌.
Tutorial Visual Perception Towards Computer Vision
Anthropomorphic Liver Phantom for CT and Ultrasound Katelyn Herbert Advisor: Dr. Robert Galloway (BME) Department of Biomedical Engineering, Vanderbilt.
Dortable non-invasive measurement setup of human abnormal tissue 1 Chairman:Hung-Chi Yang Presenter: Kai-Shang Chen Adviser: Jheng-Ruei Hong 1.
Cancer Chapter 4 Supplement. Cancer - important facts Cancer is uncontrolled cell growth It requires several steps to form It is very different depending.
© CISST ERC, 2012 An Improved GUI and Vision- based Guidance for the Robo-ELF Team Members: Jon Kriss Collaborators: Renata Smith Mentors: Kevin Olds,
Remote Surgical Robotics Control Systems and Human-Machine Interfacing.
Data Integration During Robotic Ultrasound-Guided Surgery Tifany Yung (Team 9) Team members: Vineeta Khatuja, Andrew Wang Mentors: Michael Choti MD MBA,
Project Paper Presentation Hanlin Wan March 15, 2011.
Robot Vision SS 2009 Matthias Rüther ROBOT VISION 2VO 1KU Matthias Rüther.
Gaussian Mixture Model-based EM Algorithm for Instrument Occlusion in Tool Detection from Imagery of Laparoscopic Robot-Assisted Surgery 1 Interdisciplinary.
Laparoscopic Smart Instrument for Detection of Nearby Anatomy During Prostatectomy Ania Warczyk Shivani Shah Alia Durrani Timothy Chen BME 272 Fall 2007.
HAPTIC TECHNOLOGY ASHWINI P 1PE06CS017.
Enabling Technologies for Natural Orifice Transluminal Endoscopic Surgery (N.O.T.E.S) using Robotically Guided Elasticity Imaging N.O.T.E.S Natural orifice.
PLUS Model Catalog: A library of 3D-printable models
Data Integration during Robotic Ultrasound-guided Surgery
Dynamic force modeling for robot-assisted percutaneous
HYDERABAD INSTITUTE OF TECHNOLOGY AND MANAGEMENT
Augmented Reality.
Introduction to Virtual Environments & Virtual Reality
Jun Shimamura, Naokazu Yokoya, Haruo Takemura and Kazumasa Yamazawa
SIMS 247 Lecture 7 Simultaneous Multiple Views
Salient Features of Soft Tissue Examination Velocity during Manual Palpation Jelizaveta Konstantinova1, Kaspar Althoefer1, Prokar Dasgupta2, Thrishantha.
Multimodal Registration Using Stereo Imaging and Contact Sensing
RGBD Camera Integration into CamC Computer Integrated Surgery II Spring, 2015 Han Xiao, under the auspices of Professor Nassir Navab, Bernhard Fuerst and.
Biosensor Integration and Image Guidance for Robotic Surgery
The da Vinci Si robotic surgical system made by Intuitive Surgical Inc
Computer Assisted Surgery
واقعیت مجازی و کاربرد آن در پزشکی
BREAST AUGMENTATION. BREAST AUGMENTATION DELHI Breast augmentation Surgery is a cosmetic procedure which helps to increase the size and gives the nice.
BREAST AUGMENTATION. BREAST AUGMENTATION DELHI For More Visit :
Recent Advances in Bronchoscopic Treatment of Peripheral Lung Cancers
Masaya Kitagawa, MS, Daniell Dokko, BS, Allison M
Robotic Needle End Arm Effector for Integration With CT Scan
Combining Geometric- and View-Based Approaches for Articulated Pose Estimation David Demirdjian MIT Computer Science and Artificial Intelligence Laboratory.
Novel Developments in Endoscopic Mucosal Imaging
Effects of visual force feedback on robot-assisted surgical task performance  Carol E. Reiley, MS, Takintope Akinbiyi, MS, Darius Burschka, PhD, David.
Liyuan Li, Jerry Kah Eng Hoe, Xinguo Yu, Li Dong, and Xinqi Chu
Martijn L. Dijkstra, BA, Matthew J. Eagleton, MD, Roy K
Biopsy Types Fine Needle Aspiration Core Biopsy Surgical Biopsy
Excision of atrial myxoma using robotic technology
SSGRR International Conference on Advances in Infrastructure for Electronic Business, Science and Education on the Internet, July 31 - August 6,
Combining real imagery with computer generated imagery
Robot-Assisted Surgical Systems Market Industry Insights, Growth, Segmentation and Forecasts to 2023 PREPARED BY Market Research Future (Part of Wantstats.
Presentation transcript:

Dynamic Texture Mapping of 3D models for Stiffness map Visualization Kartik Patath, R. Arun Srivatsan, Nico Zevallos, Howie Choset Biorobotics Laboratory This project is supported by NRI large grant IIS1426655 INTRODUCTION RESULTS Tumor is a swelling of a part of the body, generally without inflammation, caused by an abnormal growth of tissue. They can be either benign or malignant (cancer causing). Visualization in ROS visualizer (Rviz) Figure 4(b): Stiffness maps at different stages obtained during palpation of a silicone phantom tissue with embedded stiff inclusions. Figure 4(a): 3D model of a liver in Rviz. Tumors are stiffer than the surrounding tissues. Forceful palpation can help in estimating the location, shape and stiffness of the tumor. da Vinci needle drivel tool Figure 4(c): Stiffness maps texture wrapped on to the model of the liver. Augmented view of stiffness maps in a stereo viewer Miniature force sensor Phantom organ Figure 5(b): Model wrapped with a stiffness map (shown in Rviz). Figure 5(a): 3D model of a representative anatomy Figure 1: Robotic palpation setup of Li et al. [1] RELATED WORK Several attempts have been made to visualize the stiffness data in an intuitive manner Some of them use 2D/3D plots and some use stereo imagery [2]. Figure 5(c): Registered stereo point cloud with geometric model and overlaid stiffness map Figure 5(d): Stereo overlay with transparent model (a) (b) FUTURE WORK REFERENCES (c) Augmenting a minimally invasive surgery has the potential to provide the surgeon better insight of the surgical process. [1] L. Li, B. Yu, C. Yang, P. Vagdargi, R. A. Srivatsan, and H. Choset, “Development of an inexpensive tri-axial force sensor for minimally invasive surgery,” in Intelligent Robots and Systems. IEEE, 2017. [2] T. Yamamoto, B. Vagvolgyi, K. Balaji, L. L. Whitcomb and A. M. Okamura, "Tissue property estimation and graphical display for teleoperated robot-assisted surgery," ICRA, 2009  [3] R. A. Srivatsan, E. Ayvali, L. Wang, R. Roy, N. Simaan and H. Choset, “Complementary Model Update: A Method for Simultaneous Registration and Stiffness Mapping in Flexible Environments”, ICRA 2016 [4] A. Talasaz and R. V. Patel, “Telerobotic Palpation for Tumor Localization with Depth Estimation”, IROS 2013. Figure 2: Various approaches for representing stiffness data. (a) Srivatsan et al. [3] (b) Yamamoto et al. [2] (c) Talasaz et al. [4] Figure 6(a): da Vinci robot, which has the ability to display augmented scenes of the surgery. APPROACH Sequence of steps used in texture mapping an image to a geometric model Figure 6(b): Surgeon using Virtual reality set while observing the surgery. Figure 3: Image courtesy of http://web.inc.bme.hu/csonka/csg/oktat/www/wrl/texture/start.html