Stephen Aylward, Chair of SPIE Medical Imaging: Computer-Aided Diagnosis, is organizing the Live Demonstrations Workshop. The paper \’Variability sensitivity of dynamic texture based recognition in clinical CT data,\’ which was co-authored
Stephen Aylward, Chair of SPIE Medical Imaging: Computer-Aided Diagnosis, is organizing the Live Demonstrations Workshop.
The paper ’Variability sensitivity of dynamic texture based recognition in clinical CT data,’ which was co-authored by Roland Kwitt, Stephen Aylward, Kitware, Inc. (United States); Sharif Razzaque, InnerOptic Technology, Inc. (United States); and Jeffrey Lowell, Washington Univ. School of Medicine in St. Louis (United States), will be presented as a poster.
Abstract: Dynamic texture recognition using a database of template models has recently shown promising results for the task of localizing anatomical structures in Ultrasound video. In this work, we describe how to replicate Ultrasound variabilities by extracting subvolumes from CT and interpreting the image material as an ordered sequence of video frames. Utilizing this technique, and based on a database of abdominal CT from 45 patients, we report recognition results on an organ (kidney) recognition task, where we try to discriminate kidney subvolumes/videos from a collection of randomly sampled negative instances.
The paper ’A user-friendly automated port placement planning system for laparoscopic robotic surgery,’ which was co-authored by Luis G. Torres, The Univ. of North Carolina at Chapel Hill (USA); Hamidreza Azimian, The Hospital for Sick Children (SickKids) (Canada); and Andinet Enquobahrie, Kitware, Inc. (USA), will also be presented.
The presentation will occur during the ’Image-Guided Procedures, Robotic Interventions, and Modeling’ session. Luis G. Torres is a visiting researcher at Kitware.
Abstract: Laparoscopic surgery is a minimally invasive surgical approach in which surgical instruments are passed through ports placed at small incisions. This approach can benefit patients by reducing recovery times and scars. Surgeons have gained greater dexterity, accuracy, and vision through adoption of robotic surgical systems. However, in some cases a pre-selected set of ports cannot be accommodated by the robot; the robot’s arms may cause collisions during the procedure, or the surgical targets may not be reachable through the selected ports. In this case, the surgeon must either make more incisions for more ports, or even abandon the laparoscopic approach entirely. To assist in this, we are building an easy-to-use system which, given a surgical task and preoperative medical images of the patient, will recommend a suitable port placement plan for the robotic surgery. This work bears two main contributions: 1) a high level user interface that assists the surgeon in operating the complicated underlying planning algorithm; and 2) an interface to assist the surgical team in implementation of the recommended plan in the operating room. We believe that such an automated port placement system would reduce setup time for robotic surgery and reduce the morbidity to patients caused by unsuitable surgical port placement.
february 15 (Saturday) - 20 (Thursday)