Paper Info
Title
Automatic detection of misleading blood flow values in CT perfusion studies of lung cancer.
Abstract
In the oncology field, the anti-angiogenetic therapies aim at inhibiting tumour vascularization, that is the development of new capillary blood vessels in tumours, that allows them to grow and spread and, potentially, to metastasi. Computed tomography perfusion (CTp) is a dynamic contrast-enhanced technique that has emerged in the last few years as a promising approach for earlier assessment of such therapies, and of tumour response, in general, since functional changes precede morphological changes, that take more time to become evident. However several issues, such as patient motion and several types of artefacts, jeopardize quantitative measurements, this preventing CTp to be used in standard clinics. This paper presents an original automatic approach, based on the voxel-based analysis of the time-concentration curves (TCCs), that allows emphasizing those physiological structures, such as vessels, bronchi or artefacts, that could affect the final computation of blood flow perfusion values in CTp studies of lung cancer. The automatic exclusion of these misleading values represents a step towards a quantitative CTp, hence its routine use in clinics. (C) 2016 Elsevier Ltd. All rights reserved.
Year
DOI
Venue
2016
10.1016/j.bspc.2016.01.004
Biomedical Signal Processing and Control
Keywords
Field
DocType
Quantitative imaging,Error analysis,Image processing,Imaging artefacts,Cancer
Nuclear medicine,Lung cancer,Perfusion scanning,Voxel,Blood flow,Oncology field,Radiology,Medicine,Cancer,Patient Motion,Perfusion
Journal
Volume
ISSN
Citations 
26
1746-8094
2
PageRank 
References 
Authors
0.53
3
4
Name
Order
Citations
PageRank
Alessandro Bevilacqua120026.45
Domenico Barone230.96
Silvia Malavasi320.86
Giampaolo Gavelli452.40