MICCAI Fellow Talk Professor Alejandro F Frangi, 18 August 2022.
Medical Image analysis has grown into a matured field challenged by the progress made across all medical imaging technologies and more recent breakthroughs in biological imaging. the cross-fertilisation between medical image analysis, medical imaging physics and technology, and domain knowledge from medicine and biology has spurred a truly interdisciplinary effort that stretched outside the original boundaries of the disciplines that gave birth to this field and created stimulating and enriching synergies.
Precision imaging is not a new discipline but rather a distinct emphasis in medical imaging born at the crossroads between and unifying the efforts behind mechanistic and phenomenological model-based imaging. Precision imaging is characterised by being descriptive, predictive and integrative. It captures three main directions in the effort to deal with information deluge in imaging sciences and thus achieves wisdom from data, information and knowledge. Precision imagin can lead to carefully and mechanistically engineered imaging biomarkers and the use of medical imaging-based computational modelling and simulation for improved regulatory science and innovation of medical products.
This talk summarises and formalises our vision of Precision Imaging for Precision Medicine and highlights some connections with past research and our current focus on large-scale computational phenomics and in silico clinical trials.