TY - JOUR
T1 - Precision Imaging
T2 - more descriptive, predictive and integrative imaging
AU - Frangi, Alejandro F.
AU - Taylor, Zeike A.
AU - Gooya, Ali
N1 - Funding Information:
This year, CISTIB celebrates its 15th anniversary. We thank to the over 100 members who did research in CISTIB throughout this period. Graduate students and postdoctoral researchers have enriched and stimulated our understanding of the field. In particular, we would like to thank L. Beltrachini, T. Lassila, K. Lekadir, and J.M. Pozo for invaluable discussions. We are grateful from early feedback on portions of this manuscript by DC Alexander (University College London) and DK Jones (Cardiff University). We acknowledge continued funding from the European Commission ( FP7-ICT-2011-9-601055 , FP7-ICT-2011-9-600932 ), EPSRC ( EP/M006328/1 , EP/N026993/1 , EP/N027078/1 , EP/M013014/1 ), and BBSRC ( BB/M01021X/1 ).
Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2016/10/1
Y1 - 2016/10/1
N2 - 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.
AB - 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.
KW - Image-based modelling
KW - Mechanistic modeling
KW - Model-based imaging
KW - Phenomenological modeling
KW - Precision Imaging
KW - Precision Medicine
UR - http://www.scopus.com/inward/record.url?scp=84977634111&partnerID=8YFLogxK
U2 - 10.1016/j.media.2016.06.024
DO - 10.1016/j.media.2016.06.024
M3 - Editorial
C2 - 27373145
AN - SCOPUS:84977634111
SN - 1361-8415
VL - 33
SP - 27
EP - 32
JO - Medical Image Analysis
JF - Medical Image Analysis
ER -