Laparoscopic image analysis for automatic tracking of surgical tools

Laparoscopy is a surgical technique nowadays embedded in the clinical routine. Recent researches have been focused on analysing video information captured by the endoscope for extracting cues useful for surgeons, such as depth information. In particular, the 3D pose estimation of the surgical tools presents three important added values: (1) to extract objective parameters for the surgical training stage, (2) to develop an image-guided surgery based on the knowledge of the surgery tools localization, (3) to design new roboticsystems for an automatic laparoscope positioning, according to the visual feedback. Tool’s shape and orientation in the image is the key to get its 3D position. This work presents an image analysis for automatic laparoscopic tool’s detection along the recorded video without extra tool markers, using an edges detection strategy. Also, this analysis includes a previous stage of barrel distortion correction for videoendoscopic image

Synthesis of Tannic acid and Gallic acid nanostructures with biomedical applications

Motivation: Tannic acid (TA) and Gallic acid (GA) are natural polyphenolic compounds belonging to the family of tannins, a subset of secondary metabolites that stands out due to their biological activity, including anticancer, antioxidant, antimicrobial and antiviral activities [1,2]. Our group has developed TA nanoparticles with antitumor activity that can be selectively targeted to tumors, thereby reducing the undesirable side effects associated with chemotherapy [3].In this work we have broadened the scope of these promising nanoparticles by introducing GA in their formulation. Additionally, we have tackled the synthesis of metal-organic frameworks (MOFs) based on TA and GA. Methods and Results: The obtained nanostructures have been characterized by physicochemical techniques: Scanning Electron Microscopy (SEM), Raman Spectroscopy, Tyndall Effect, Dynamic Light Scattering (DLS), UV-Visible and Infrared Spectroscopy.Our TA/GA nanoparticles have a hydrodynamic diameter of just 202 nm and a zeta potential of -34 mV. This is an improvement over the previously described TA nanoparticles. Their entrapment efficiency is very high (92.4 %). Moreover, we have simplified the synthesis by reducing the amount of coating polymer.In a different approach we have also synthesized MOFs using TA and GA as ligand and different metal cations (Fe2+, Fe3+ or Ni2+). They have different hydrodynamic diameters and shapes, and their crystallinity is being studied by X-Ray Diffraction.Conclusions: TA/GA nanoparticles have been obtained by using polymers Generally Recognized As Safe (or GRAS) by the Food and Drug Administration. Their size has been optimized, so they are suitable for intravenous administration. With respect to the MOFs structures synthesized, their potential applications are more diverse (including, for example, catalytic processes) depending on their size, porosity and crystallinity

Changing the paradigm: endoscopic video analysis and information extraction for safer surgeries

Background: Minimally invasive surgery creates two technological opportunities: (1) the development of better training and objective evaluation environments, and (2) the creation of image guided surgical systems

TELMA: technology enhanced learning environment for Minimally Invasive Surgery

One of the most important revolutions in the past few decades in clinical practice has been motivated by the introduction of Minimally Invasive Surgery (MIS) techniques, which have spread amongst almost all surgical specialities. MIS training is a principal component of the education of new surgical residents, with an increasing demand for knowledge and skills for medical students and surgeons. Technology enhanced learning (TEL) solutions can deal with the growing need for MIS learning. This research work aims to develop a MIS learning environment based on web technologies, named TELMA, which will respond to the growing amount of information and multimedia surgical contents available (mainly intervention’s video recording libraries), in compliance with specific learning needs of surgical students and professionals, enhancing their competence on MIS cognitive skills. Furthermore, TELMA will support knowledge capturing, sharing and reuse, and effective management of didactic contents through personalised and collaborative services

Utilidad del vídeo quirúrgico en las cirugías de mínima invasión

El vídeo quirúrgico es la principal fuente de información intraoperatoria para el seguimiento de la intervención quirúrgica. Actualmente, su uso como medio de análisis no se halla implantado. Este trabajo presenta su utilidad con casos de uso reales que explotan la información presente en los vídeos a través del procesamiento de los vídeos. Los algoritmos desarrollados permiten la segmentación y seguimiento de los elementos de la escena, la reconstrucción y la localización espacial de los trócares. Se presenta a modo de ejemplos un entorno de formación y un sistema de navegación quirúrgica que explotan la información presente en los vídeos captados por el endoscopio

Minimally invasive surgical video analysis: a powerful tool for surgical training and navigation

Analysis of minimally invasive surgical videos is a powerful tool to drive new solutions for achieving reproducible training programs, objective and transparent assessment systems and navigation tools to assist surgeons and improve patient safety. This paper presents how video analysis contributes to the development of new cognitive and motor training and assessment programs as well as new paradigms for image-guided surgery

PredicForex. A tool for a reliable market. Playing with currencies

The Forex market is a very interesting market. Finding a suitable tool to forecast currency behavior will be of great interest. It is almost impossible to find a 100 % reliable tool. This market is like any other one, unpredictable. However we developed a very interesting tool that makes use of WebCrawler, data mining and web services to offer and forecast an advice to any user or broker

Minimally invasive surgical video analysis: a powerful tool for surgical training and navigation

Analysis of minimally invasive surgical videos is a powerful tool to drive new solutions for achieving reproducible training programs, objective and transparent assessment systems and navigation tools to assist surgeons and improve patient safety. This paper presents how video analysis contributes to the development of new cognitive and motor training and assessment programs as well as new paradigms for image-guided surgery

Segmentation and 3D reconstruction approaches for the design of laparoscopic augmented reality environments

A trend in abdominal surgery is the transition from minimally invasive surgery to surgeries where augmented reality is used. Endoscopic video images are proposed to be employed for extracting useful information to help surgeons performing the operating techniques. This work introduces an illumination model into the design of automatic segmentation algorithms and 3D reconstruction methods. Results obtained from the implementation of our methods to real images are supposed to be an initial step useful for designing new methodologies that will help surgeons operating MIS techniques

Laparoscopic tool tracking method for augmented reality surgical applications

Vision-based tracking of laparoscopic tools offers new possibilities for improving surgical training and for developing new augmented reality surgical applications. We present an original method to determine not only the tip position, but also the orientation of a laparoscopic tool respect to the camera coordinate frame. A simple mathematical formulation shows how segmented tool edges and camera field of view define the tool 3D orientation. Then, 3D position of the tool tip is determined by image 2D coordinates of any known point of the tool and by tool’s diameter. Accuracy is evaluated in real image sequences with known ground truth. Results show a positioning error of 9,28 mmRMS, what is explained by inaccuracies in the estimation of tool edges. The main advantage of proposed method is its robustness to occlusions of the tool tip