33 research outputs found

    Development of a Surgical Assistance System for Guiding Transcatheter Aortic Valve Implantation

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    Development of image-guided interventional systems is growing up rapidly in the recent years. These new systems become an essential part of the modern minimally invasive surgical procedures, especially for the cardiac surgery. Transcatheter aortic valve implantation (TAVI) is a recently developed surgical technique to treat severe aortic valve stenosis in elderly and high-risk patients. The placement of stented aortic valve prosthesis is crucial and typically performed under live 2D fluoroscopy guidance. To assist the placement of the prosthesis during the surgical procedure, a new fluoroscopy-based TAVI assistance system has been developed. The developed assistance system integrates a 3D geometrical aortic mesh model and anatomical valve landmarks with live 2D fluoroscopic images. The 3D aortic mesh model and landmarks are reconstructed from interventional angiographic and fluoroscopic C-arm CT system, and a target area of valve implantation is automatically estimated using these aortic mesh models. Based on template-based tracking approach, the overlay of visualized 3D aortic mesh model, landmarks and target area of implantation onto fluoroscopic images is updated by approximating the aortic root motion from a pigtail catheter motion without contrast agent. A rigid intensity-based registration method is also used to track continuously the aortic root motion in the presence of contrast agent. Moreover, the aortic valve prosthesis is tracked in fluoroscopic images to guide the surgeon to perform the appropriate placement of prosthesis into the estimated target area of implantation. An interactive graphical user interface for the surgeon is developed to initialize the system algorithms, control the visualization view of the guidance results, and correct manually overlay errors if needed. Retrospective experiments were carried out on several patient datasets from the clinical routine of the TAVI in a hybrid operating room. The maximum displacement errors were small for both the dynamic overlay of aortic mesh models and tracking the prosthesis, and within the clinically accepted ranges. High success rates of the developed assistance system were obtained for all tested patient datasets. The results show that the developed surgical assistance system provides a helpful tool for the surgeon by automatically defining the desired placement position of the prosthesis during the surgical procedure of the TAVI.Die Entwicklung bildgefĂŒhrter interventioneller Systeme wĂ€chst rasant in den letzten Jahren. Diese neuen Systeme werden zunehmend ein wesentlicher Bestandteil der technischen Ausstattung bei modernen minimal-invasiven chirurgischen Eingriffen. Diese Entwicklung gilt besonders fĂŒr die Herzchirurgie. Transkatheter Aortenklappen-Implantation (TAKI) ist eine neue entwickelte Operationstechnik zur Behandlung der schweren Aortenklappen-Stenose bei alten und Hochrisiko-Patienten. Die Platzierung der Aortenklappenprothese ist entscheidend und wird in der Regel unter live-2D-fluoroskopischen Bildgebung durchgefĂŒhrt. Zur UnterstĂŒtzung der Platzierung der Prothese wĂ€hrend des chirurgischen Eingriffs wurde in dieser Arbeit ein neues Fluoroskopie-basiertes TAKI Assistenzsystem entwickelt. Das entwickelte Assistenzsystem ĂŒberlagert eine 3D-Geometrie des Aorten-Netzmodells und anatomischen Landmarken auf live-2D-fluoroskopische Bilder. Das 3D-Aorten-Netzmodell und die Landmarken werden auf Basis der interventionellen Angiographie und Fluoroskopie mittels eines C-Arm-CT-Systems rekonstruiert. Unter Verwendung dieser Aorten-Netzmodelle wird das Zielgebiet der Klappen-Implantation automatisch geschĂ€tzt. Mit Hilfe eines auf Template Matching basierenden Tracking-Ansatzes wird die Überlagerung des visualisierten 3D-Aorten-Netzmodells, der berechneten Landmarken und der Zielbereich der Implantation auf fluoroskopischen Bildern korrekt ĂŒberlagert. Eine kompensation der Aortenwurzelbewegung erfolgt durch Bewegungsverfolgung eines Pigtail-Katheters in Bildsequenzen ohne Kontrastmittel. Eine starrere IntensitĂ€tsbasierte Registrierungsmethode wurde verwendet, um kontinuierlich die Aortenwurzelbewegung in Bildsequenzen mit Kontrastmittelgabe zu detektieren. Die Aortenklappenprothese wird in die fluoroskopischen Bilder eingeblendet und dient dem Chirurg als Leitfaden fĂŒr die richtige Platzierung der realen Prothese. Eine interaktive Benutzerschnittstelle fĂŒr den Chirurg wurde zur Initialisierung der Systemsalgorithmen, zur Steuerung der Visualisierung und fĂŒr manuelle Korrektur eventueller Überlagerungsfehler entwickelt. Retrospektive Experimente wurden an mehreren Patienten-DatensĂ€tze aus der klinischen Routine der TAKI in einem Hybrid-OP durchgefĂŒhrt. Hohe Erfolgsraten des entwickelten Assistenzsystems wurden fĂŒr alle getesteten Patienten-DatensĂ€tze erzielt. Die Ergebnisse zeigen, dass das entwickelte chirurgische Assistenzsystem ein hilfreiches Werkzeug fĂŒr den Chirurg bei der Platzierung Position der Prothese wĂ€hrend des chirurgischen Eingriffs der TAKI bietet

    Exploiting Temporal Image Information in Minimally Invasive Surgery

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    Minimally invasive procedures rely on medical imaging instead of the surgeons direct vision. While preoperative images can be used for surgical planning and navigation, once the surgeon arrives at the target site real-time intraoperative imaging is needed. However, acquiring and interpreting these images can be challenging and much of the rich temporal information present in these images is not visible. The goal of this thesis is to improve image guidance for minimally invasive surgery in two main areas. First, by showing how high-quality ultrasound video can be obtained by integrating an ultrasound transducer directly into delivery devices for beating heart valve surgery. Secondly, by extracting hidden temporal information through video processing methods to help the surgeon localize important anatomical structures. Prototypes of delivery tools, with integrated ultrasound imaging, were developed for both transcatheter aortic valve implantation and mitral valve repair. These tools provided an on-site view that shows the tool-tissue interactions during valve repair. Additionally, augmented reality environments were used to add more anatomical context that aids in navigation and in interpreting the on-site video. Other procedures can be improved by extracting hidden temporal information from the intraoperative video. In ultrasound guided epidural injections, dural pulsation provides a cue in finding a clear trajectory to the epidural space. By processing the video using extended Kalman filtering, subtle pulsations were automatically detected and visualized in real-time. A statistical framework for analyzing periodicity was developed based on dynamic linear modelling. In addition to detecting dural pulsation in lumbar spine ultrasound, this approach was used to image tissue perfusion in natural video and generate ventilation maps from free-breathing magnetic resonance imaging. A second statistical method, based on spectral analysis of pixel intensity values, allowed blood flow to be detected directly from high-frequency B-mode ultrasound video. Finally, pulsatile cues in endoscopic video were enhanced through Eulerian video magnification to help localize critical vasculature. This approach shows particular promise in identifying the basilar artery in endoscopic third ventriculostomy and the prostatic artery in nerve-sparing prostatectomy. A real-time implementation was developed which processed full-resolution stereoscopic video on the da Vinci Surgical System

    Medical Robotics

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    The first generation of surgical robots are already being installed in a number of operating rooms around the world. Robotics is being introduced to medicine because it allows for unprecedented control and precision of surgical instruments in minimally invasive procedures. So far, robots have been used to position an endoscope, perform gallbladder surgery and correct gastroesophogeal reflux and heartburn. The ultimate goal of the robotic surgery field is to design a robot that can be used to perform closed-chest, beating-heart surgery. The use of robotics in surgery will expand over the next decades without any doubt. Minimally Invasive Surgery (MIS) is a revolutionary approach in surgery. In MIS, the operation is performed with instruments and viewing equipment inserted into the body through small incisions created by the surgeon, in contrast to open surgery with large incisions. This minimizes surgical trauma and damage to healthy tissue, resulting in shorter patient recovery time. The aim of this book is to provide an overview of the state-of-art, to present new ideas, original results and practical experiences in this expanding area. Nevertheless, many chapters in the book concern advanced research on this growing area. The book provides critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies. This book is certainly a small sample of the research activity on Medical Robotics going on around the globe as you read it, but it surely covers a good deal of what has been done in the field recently, and as such it works as a valuable source for researchers interested in the involved subjects, whether they are currently “medical roboticists” or not

    FROM CONCEPT, TO DESIGN, EVALUATION AND FIRST IN VIVO DEMONSTRATION OF A TELE-OPERATED CATHETER NAVIGATION SYSTEM

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    Percutaneous transluminal catheter (PTC) intervention is a medical technique used to assess and treat vascular and cardiac diseases, including electrophysiological conditions. A Interventional specialists use the vasculature as a passageway to guide the catheter to the site of interest, using fluoroscopic x-ray imaging for image-guidance. Common PTC procedures include: vascular angiography, inflating balloons and stents, depositing coils, and the treatment of cardiac arrhythmia via catheter ablation. Catheter ablation has gained prevalence over the last two decades, as the treatment success rate for atrial fibrillation reaches 100%. The close proximity between the interventionalist and the radiation source combined with the increased number of procedures performed annually has lead to increased lifetime exposure; escalating the interventionalist probability of developing cancer, cataracts or passing genetic defects to offspring. Furthermore, the lead garments that protect the interventionalist can lead to musculoskeletal injury. Both these factors have lead to increased occupational risk. Catheter navigation systems are commercially available to reduce these risks. Lack of intuitive design is a common failing among these systems. iii This thesis presents the design and validation of a remote catheter navigation system (RCNS) that utilizes dexterous skills of the interventionalist during remote navigation, by keeping the catheter in their hands of the interventionalist during remote navigation. For remote catheter manipulation, the interventionalist pushes, pulls, and twists an input catheter, which is placed inside an electromechanical sensor (CS). Position changes of the input catheter are transferred to a second electromechanical (CM) that replicates the sensed motion with a second, remote catheter. Design of this system begins with understanding the dynamic forces applied to the catheter during intravascular navigation. These dynamics were quantified and then used as operating parameters in the mechanical design of the CM. In a laboratory setting, motion sensed and replicated by the RCNS was found to be 1 mm in the axial direction, 1° in the radial direction, with a latency of 180 ms. In a multi-operator, comparative study using a specially constructed multi-path vessel phantom, comparable navigation efficacy was demonstrated between the RCNS and conventional catheter manipulation, with the RCNS requiring only 9s longer to complete the same tasks. Finally, remote navigation was performed in vivo to fully demonstrate the application of this system towards the diagnosis and treatment of cardiac arrhythmia
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