Impact of signal and imaging processing technologies in medical imaging, the case of high-resolution imaging

Denis Kouamé (University of Toulouse III)

Medical imaging has faced a huge progress these decades, with especially the development of sophisticated systems. These systems have greatly improved medical practices, in terms of diagnosis and therapy. Many of these systems require high resolution and high-speed acquisition. These requirements need not only a compromise between them, but are achieved through optimization of the imaging devices. This later has led to both a lack of flexibility in achieving a high resolution or real time (high speed) devices and an increase of the costs of the devices. In this tutorial, we show how signal processing can bring some smart solutions to the problem of high-resolution imaging. We will also show some actual direction on how to break the compromise between resolution and real-time imaging. We will provide some illustrations on different imaging modalities (MRI, CT…) but we will focus on many results on ultrasound imaging. The take away message is that many of the results apply to the other medical imaging modalities.

Structure

  • Introduction
  • Quick review of medical imaging systems: MRI, CT, PET and Ultrasound
  • The needs of high resolution and high frame imaging
  • Device-based resolution enhancement techniques and their limitations
  • Illustrations in MRI, CT and PET
  • Modeling of imaging systems and introduction to relevant signal and image processing
  • Inverse problems for resolution enhancement: image deconvolution and super-resolution
  • Path to joint fast and high-resolution imaging: application to ultrasound
  • Discussions
  • Conclusions