title: Precision Imaging: more descriptive, predictive and integrative imaging.
abstract: Medical image analysis has grown into a matured field challenged by progress made across all medical imaging technologies and more recent breakthroughs in biological imaging. The cross-fertilisation between medical image analysis, biomedical 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. Consideration on how the field has evolved and the experience of the work carried out over the last 15 years in our centre, has led us to envision a future emphasis of medical imaging in Precision Imaging. Precision Imaging is not a new discipline but rather a distinct emphasis in medical imaging borne at the cross-roads between, and unifying the efforts behind mechanistic and phenomenological model-based imaging. It captures three main directions in the effort to deal with the information deluge in imaging sciences, and thus achieve wisdom from data, information, and knowledge. Precision Imaging is finally characterised by being descriptive, predictive and integrative about the imaged object. This paper provides a brief and personal perspective on how the field has evolved, summarises and formalises our vision of Precision Imaging for Precision Medicine, and highlights some connections with past research and current trends in the field.
authors.affiliation: CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, Electronic and Electrical Engineering Department, University of Sheffield, Sheffield, UK. Electronic address: a.frangi@sheffield.ac.uk.
authors.forename: Alejandro F
authors.initials: AF
authors.lastname: Frangi
authors.affiliation: CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, Mechanical Engineering Department, University of Sheffield, Sheffield, UK. Electronic address: z.a.taylor@sheffield.ac.uk.
authors.forename: Zeike A
authors.initials: ZA
authors.lastname: Taylor
authors.affiliation: CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, Electronic and Electrical Engineering Department, University of Sheffield, Sheffield, UK. Electronic address: a.gooya@sheffield.ac.uk.
authors.forename: Ali
authors.initials: A
authors.lastname: Gooya
mesh_terms: D000465:Algorithms; D000818:Animals; D003952:Diagnostic Imaging / Q000639:trends; D006801:Humans; D057285:Precision Medicine / Q000639:trends
keywords: Image-based modelling; Mechanistic modeling; Model-based imaging; Phenomenological modeling; Precision Imaging; Precision Medicine