An Introduction To The Mathematics Of The Imaging Modalities Using Small Scaled Contrast Agents

TL;DR

This paper explores the mathematical analysis of imaging techniques using small, high-contrast agents to improve stability and recoverability in various medical imaging modalities.

Contribution

It introduces a mathematical framework for analyzing how small contrast agents enhance stability in imaging modalities like acoustic and photo-acoustic imaging.

Findings

Contrast agents create local spots for stable imaging.

Mathematical analysis of micro-bubbles and nano-particles.

Improved stability in inverse problems for imaging.

Abstract

In the recent years, we witness a great interest in imaging, in a wide sense, using contrast agents. One of the reasons is that many imaging modalities, as the ones related to medical sciences, suffer from several shortcomings. The most serious one is the issue of instability. Indeed, it is, nowadays, a common certainty that classical inverse problems of recovering objects from remote measurements are, mostly, highly unstable. To recover the stability, it is advised to create, whenever possible, the missing contrasts in the targets to image. In this survey paper, we follow this direction and propose an approach how to analyze mathematically the effect of the injected agents on the different fields under consideration. These contrast agents are small-sized particles modeled with materials that enjoy high contrasts as compared to the ones of the background. These two properties allow them, under critical scales of size/contrast, to create local spots when excited from far. These local spots can be remotely recovered in stable ways. The accessible information on the target are encoded in theses spots. After stating a class of such imaging modalities that enter into this framework, as the acoustic imaging, photo-acoustic imaging, optical imaging and more, we provide detailed analysis for first two modalities where the contrast agents are micro-bubbles and nano-particles respectively.