Literature DB >> 27373145

Precision Imaging: more descriptive, predictive and integrative imaging.

Alejandro F Frangi1, Zeike A Taylor2, Ali Gooya3.   

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.
Copyright © 2016 Elsevier B.V. All rights reserved.

Keywords:  Image-based modelling; Mechanistic modeling; Model-based imaging; Phenomenological modeling; Precision Imaging; Precision Medicine

Mesh:

Year:  2016        PMID: 27373145     DOI: 10.1016/j.media.2016.06.024

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  5 in total

1.  Simulation and Synthesis in Medical Imaging.

Authors:  Alejandro F Frangi; Sotirios A Tsaftaris; Jerry L Prince
Journal:  IEEE Trans Med Imaging       Date:  2018-03       Impact factor: 10.048

2.  Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results.

Authors:  Avan Suinesiaputra; Mihir M Sanghvi; Nay Aung; Jose Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; Aaron M Lee; Valentina Carapella; Young Jin Kim; Jane Francis; Stefan K Piechnik; Stefan Neubauer; Andreas Greiser; Marie-Pierre Jolly; Carmel Hayes; Alistair A Young; Steffen E Petersen
Journal:  Int J Cardiovasc Imaging       Date:  2017-08-23       Impact factor: 2.357

3.  The emergent integrated network structure of scientific research.

Authors:  Jordan D Dworkin; Russell T Shinohara; Danielle S Bassett
Journal:  PLoS One       Date:  2019-04-30       Impact factor: 3.240

4.  Medicine-Based Evidence in Congenital Heart Disease: How Artificial Intelligence Can Guide Treatment Decisions for Individual Patients.

Authors:  Jef Van den Eynde; Cedric Manlhiot; Alexander Van De Bruaene; Gerhard-Paul Diller; Alejandro F Frangi; Werner Budts; Shelby Kutty
Journal:  Front Cardiovasc Med       Date:  2021-12-02

Review 5.  Application of Multimodality Imaging Fusion Technology in Diagnosis and Treatment of Malignant Tumors under the Precision Medicine Plan.

Authors:  Shun-Yi Wang; Xian-Xia Chen; Yi Li; Yu-Ying Zhang
Journal:  Chin Med J (Engl)       Date:  2016-12-20       Impact factor: 2.628

  5 in total

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