Information Processing in Computer-Assisted Interventions: 4th International Conference, 2013.

Dean Barratt,Stephane Cotin,Gabor Fichtinger,Pierre Jannin

doi:10.1007/s11548-014-1117-6

Abstract

Information Processing in Computer-Assisted Interventions: 4th International Conference, 2013.

Highlights

Continued advances in computer hardware and computational power mean that very large quantities of data are typically acquired and processed at all stages of the clinical pathway, from disease diagnosis and localisation, planning and subsequent execution of interventional procedures, through to post-procedural analysis and patient follow-up
Much of these data are produced by imaging devices, but data originate from a number of other sources including sensing devices, such as intraoperative navigation devices, and traditional clinical data, such as pathology results, patient risk, patient history, and many more
Processing and analysing medical data to extract and present clinically important information in different interventional scenarios remains highly challenging from a number of perspectives: firstly, automatic and robust extraction of the most relevant information is not always easy given that noise, artefacts, and complicating temporal changes are all commonplace in clinical data

Summary

Introduction

Continued advances in computer hardware and computational power mean that very large quantities of data are typically acquired and processed at all stages of the clinical pathway, from disease diagnosis and localisation, planning and subsequent execution of interventional procedures, through to post-procedural analysis and patient follow-up. Combining data/information in a clinically optimal and informative way is often challenging and typically involves advanced computational methods for registering and fusing spatial and temporal data from different sources.

Results

Conclusion