07 w 5115 Mathematical Methods for Medical Image Analysis

  • Arriving Sunday
  • Published 2007

Abstract

S (in alphabetical order by speaker surname) Abolmaesumi, Purang (Queens University) Ultrasound-Guided Computer-Assisted Orthopaedic Surgery In recent years, computer-assisted surgery has evolved and developed due to the need to integrate the information derived from different sensory inputs in the operating room and also the necessity to track the surgical operation quantitatively during and after the surgery. The current research in this area envelops all phases of a surgical procedure: preoperative planning, intra-operative registration and guidance, and postoperative follow-ups. A few of the main medical imaging modalities used to plan and perform these operations include ultrasound, X-ray, CT and MRI. This talk will cover the research currently being conducted at the Medical Image Analysis Laboratory at Queen's University regarding the application of medical imaging modalities in both the preoperative planning and intra-operative registration phases of computer-assisted orthopaedic surgery. With regards to the former, the goal is to reconstruct anatomical models of patients from medical images with little computational cost. Regarding the latter, the aim is to register in real time, the patient's anatomy to the pre-operative 3D models extracted from the ultrasound, CT and MRI images. These reconstruction and registration techniques have been incorporated in the design of new user interfaces that will improve intra-operative guidance of surgical tools. Archip, Neculai (Harvard Medical School) Medical Image Analysis for Image Guided Therapy Image guided therapy is combining advances in imaging and therapeutic technology to develop minimally invasive surgical and interventional techniques. Innovations in imaging and image analysis have enabled key improvements in a) preoperative planning, b) intraoperative targeting, navigation and control, and c) postoperative assessment. We describe recent algorithmic advances that have enabled enhanced surgical navigation, by multi-modality fusion of pre-operative high resolution imaging with low quality intra-procedural images. One of the challenges of developing such algorithms is to meet the hard real-time constraints of intraoperative surgical decision making. In this context, several clinical applications requiring advanced quantitative image analysis will be demonstrated. It will include image guided neurosurgery, where preoperative DT-MRI, T1w MRI and fMRI are fused with intra-operative MR imaging for enhanced visualization of tumor margin and white matter tractography during brain tumor resection. We will also present new approaches for improved lesion targeting during abdominal intervention procedures (such as liver biopsy and radio frequency ablation), by combining pre-procedural MRI and PET scans, with intra-procedural CT images. Atkins, Stella (Simon Fraser University) Role of Eye Gaze Tracking in Medical Applications: A Window into the Mind I will introduce the basic science involved in eye gaze tracking and the hardware we use, and describe two medical applications: in radiology workstation design, and in surgery.

Cite this paper

@inproceedings{Sunday200707W5, title={07 w 5115 Mathematical Methods for Medical Image Analysis}, author={Arriving Sunday}, year={2007} }