Lectures, Lectureres and Abstracts

Lecturers and invited speakers

International lecturers, confirmed:

  • Gábor Fichtinger (Queens University, Canada)
  • Gernot Kronreif (ACMIT, Austria)
  • Peter Kazanzides (Johns Hopkins University, USA)
  • Kevin Cleary (Children's National Medical Center, USA)
  • Wolfgang Birkfellner (Medical University of Vienna, Austria)
  • Lena Maier-Hein (German Cancer Research Center, Germany)
  • Franjo PernuÅ¡ (University of Ljubljana, Slovenia)

Invited Hungarian lecturers:

  • Ferenc Pongrácz
    Video tracking in clinical environment: framework and computational elements
  • Barnabás Takács (BME)
    Computer-assisted Therapies
  • József Sándor, MD (Semmelweis University)
    Technology's role in surgery
  • Ákos Tallós (medimass Ltd.)
    In-vivo analysis of biological tissues
  • György Wéber, MD (Semmelweis University)
    Minimally Invasive Surgery skills training
  • Balazs Benyó (BME)
  • Levente Kovács (BME)
  • András Lassó (BME / Queens University)
  • Kristóf Andrónyi (Doktor Fit)

and more renown Hungarian medical and biomedical professionals.

Honorable guest:

  • Antal Bejczy (NASA JPL (ret.), USA)



(under development)

Gernot Kronreif: Robot Systems for Percutaneous Needle Placement

 Basic problem for percutaneous needle placement is to target a needle-based instrument through the skin and thus without direct sight exactly to the region of interest (e.g. a tumor). Different types of intra-operative imaging modalities, like ultra-sound imaging (US), computed-tomography (CT) or magnet resonance tomography (MR) are being used in order to support the procedure. Compared to traditional (freehand) technique, robotics assistance potentially helps to improve the procedure. Such a robot could serve as the physician’s “third hand”, exactly maintaining the previous planned trajectory and (sometimes; especially in case of deeply situated target areas) helping to shorten the time associated with definition of the desired insertion point and angulation. The talk will outline the problems connected to the procedure, the design requirements for robot systems for needle placement and will show three different setups.

Gábor Fichtinger: Pre-operative to intra-operative image guidance for prostate brachytherapy

  Prostate cancer continues to be the most frequent cancer among men in North America. There are 250,000 new cases and over 1.5 million biopsies each year. The probability of prostate cancer increases with age. In the Western hemisphere, where the most dynamically growing age group is the 80+, prostate cancer is expected to reach epidemic proportions in the coming decades. Recent advances in medical imaging, computing and robotics opened the way for a technological leap in the diagnosis and treatment of prostate
cancer.  A variety of mage guidance and robotic approaches are being developed around the world, to assist the physician in the planning, execution, and monitoring of prostate cancer interventions. This colloquium
will summarize major development efforts in the Laboratory for Percutaneous Surgery at Queen’s University and its international research partners.

Peter Kazanzides: Evolution of surgical robotics: from bone milling and teleoperation to human/machine collaborative systems

 Early surgical robot systems can be classified as either simple automata that execute a pre-defined (preoperative) plan, or teleoperators (remotely controlled devices) that faithfully follow the surgeon's commands.  The first classification is often called Surgical CAD/CAM because the procedure begins with a preoperative plan (Surgical CAD), typically using a medical imaging modality such as CT or MRI, with computer assistance (Surgical CAM) to realize the plan in the operating room.  The second category can be called Surgical Assistance because it augments the surgeon's capabilities to perform the procedure.  This talk will begin with examples of both types of systems, and then describe current research systems that combine the rich preoperative information and accurate execution of Surgical CAD/CAM with the interactive human-in-the-loop characteristic of Surgical Assistance to produce advanced human/machine collaborative systems, where the partnership between man and machine transcends the limitations of each partner.

Kevin Cleary: Computer-Aided Interventions and Medical Robotics in Interventional Radiology

 This talk will give a historical overview of computer-aided interventions and medical robotics, as well as focus on recent applications in Interventional Radiology. Computer-aided interventions, also known as image-guided therapy, is a fairly recent development, with the first systems appearing about 20 years ago. The talk will present the components of computer-aided interventions, including the acquisition of tomographic images, tracking of the surgical tools, registration of the patient space to the image space, and the display of the tracked tools relative to the images.  The role of open source software in rapidly building prototype image-guided systems will also be discussed.

Lena Maier-Hein: Intra-operative registration for computer-assisted medical interventions: From stereotactic frames to contactless methods

Clinical practice is increasingly replacing traditional open surgical procedures with minimally invasive techniques for cancer diagnosis and therapy. Although laparoscopic interventions offer major benefits to the patients, including reduced post-surgical trauma and morbidity, as well as shorter hospitalization, they suffer from a limited field-of-view, loss of depth perception and a lack of tactile feedback. These issues can be compensated for by enhancing intra-operatively acquired images with pre-operative planning data of the patient's anatomy. This lecture will review state of the art approaches to intra-operative registration in the context of computer-assisted laparoscopic interventions. We will compare different modalities for intra-operative image acquisition, identify advantages and limitations of the developed registration methods and discuss practical challenges for clinical application. 

Franjo PernuÅ¡: Image registration: 2D/3D problems

Image guidance is more and more used in radiation therapy, radiosurgery and minimally invasive therapy which includes a wide variety of therapies in surgery, endoscopy and interventional radiology with the aim to render an intervention less invasive and to improve the accuracy with which a given intervention can be performed compared to conventional methods. One of the enabling technologies of image-guided interventions is registration of pre-intervention data (patient’s images or models of anatomical structures obtained from these images and treatment plan) and intra-intervention data (patient’s images, positions of tools, radiation fields, etc.). By registration the pre-interventional data and physical space occupied by the patient during an intervention are brought into the same coordinate frame so that any 3D point defined in the pre-intervention image can be precisely located on the patient. Currently, the pre-interventional data are three-dimensional (3D) computed tomography (CT) and magnetic resonance (MR) images, while the intra-intervention data are either two-dimensional (2D) projective X-ray (fluoroscopy), ultrasound (US), and optical images, or 3D cone-beam CT (CBCT) and US, images or 3D digitized points or surfaces. With respect to the intra-interventional data dimensionality registration is either 3D/2D or 3D/3D.
To be suitable for a clinical application, a registration algorithm must satisfy several requirements which concern registration accuracy, robustness, computation time, and complexity and invasiveness of intra-intervention data acquisition. In this talk, 3D/2D rigid registration methods, proposed for registering a 3D CT and/or MR image to one or more X-ray images, will be reviewed systematically according to the dimensionality of the space where registration is performed and the data on which registration is based.  Besides, the problem of 3D/2D registration validation, and some quantitative registration results obtained with several methods on publicly available image databases will be presented.

Ferenc Pongrácz: Video tracking in clinical environment: framework and computational elements 

Main motivation of this work is to build up framework for testing prototype applications for feature-based camera tracking, especially for endoscopic camera movement calculation and 3D target reconstruction. The task is challenging, still under evolution, with many obstacles to clinical applicability. Extreme changes in lighting, low image texture and unfavorable motion trajectories all contribute to the difficulty of the path and scene reconstruction. Online applications are still missing. Therefore, the project’s goal is practical: to overview and integrate those hardware and software elements which are needed to validate the latest computational results and test their quality. The results, at present, are fractional only, but some conclusions have been drawn.