From Collective Adaptive Systems to Human Centric Computation and Back: Spatial Model Checking for Medical Imaging

TL;DR

This paper explores the application of spatial model checking, originally developed for collective adaptive systems, to medical imaging, integrating logical, statistical, and algorithmic methods for innovative analysis.

Contribution

It introduces a novel approach combining logical, statistical, and algorithmic techniques for medical imaging using spatial model checking.

Findings

New operators for spatial model checking in MI

Potential for ground-breaking innovation in medical imaging

Bridges between CAS verification methods and medical imaging

Abstract

Recent research on formal verification for Collective Adaptive Systems (CAS) pushed advancements in spatial and spatio-temporal model checking, and as a side result provided novel image analysis methodologies, rooted in logical methods for topological spaces. Medical Imaging (MI) is a field where such technologies show potential for ground-breaking innovation. In this position paper, we present a preliminary investigation centred on applications of spatial model checking to MI. The focus is shifted from pure logics to a mixture of logical, statistical and algorithmic approaches, driven by the logical nature intrinsic to the specification of the properties of interest in the field. As a result, novel operators are introduced, that could as well be brought back to the setting of CAS.