eprintid: 26975
rev_number: 12
eprint_status: archive
userid: 1589
dir: disk0/00/02/69/75
datestamp: 2019-08-23 14:43:49
lastmod: 2019-10-11 13:00:54
status_changed: 2019-08-23 14:43:49
type: article
metadata_visibility: show
creators_name: Mokli, Yahia
creators_name: Pfaff, Johannes
creators_name: Pinto dos Santos, Daniel
creators_name: Herweh, Christian
creators_name: Nagel, Simon
title: Computer-aided imaging analysis in acute ischemic stroke – background and clinical applications
subjects: 610
divisions: 911100
keywords: Acute ischemic stroke, Imaging, Computer aided diagnosis, Artificial intelligence
abstract: Tools for medical image analysis have been developed to reduce the time needed to detect abnormalities and to provide more accurate results. Particularly, tools based on artificial intelligence and machine learning techniques have led to significant improvements in medical imaging interpretation in the last decade. Automatic evaluation of acute ischemic stroke in medical imaging is one of the fields that witnessed a major development. Commercially available products so far aim to identify (and quantify) the ischemic core, the ischemic penumbra, the site of arterial occlusion and the collateral flow but they are not (yet) intended as standalone diagnostic tools. Their use can be complementary; they are intended to support physicians’ interpretation of medical images and hence standardise selection of patients for acute treatment. This review provides an introduction into the field of computer-aided diagnosis and focuses on the automatic analysis of non-contrast-enhanced computed tomography, computed tomography angiography and perfusion imaging. Future studies are necessary that allow the evaluation and comparison of different imaging strategies and post-processing algorithms during the diagnosis process in patients with suspected acute ischemic stroke; which may further facilitate the standardisation of treatment and stroke management.
date: 2019
publisher: BioMed Central
id_scheme: DOI
ppn_swb: 1678737852
own_urn: urn:nbn:de:bsz:16-heidok-269759
language: eng
bibsort: MOKLIYAHIACOMPUTERAI2019
full_text_status: public
publication: Neurological Research and Practice
volume: 1
number: 23
place_of_pub: London
pagerange: 1-13
issn: 2524-3489
citation:   Mokli, Yahia ; Pfaff, Johannes ; Pinto dos Santos, Daniel ; Herweh, Christian ; Nagel, Simon  (2019) Computer-aided imaging analysis in acute ischemic stroke – background and clinical applications.  Neurological Research and Practice, 1 (23).  pp. 1-13.  ISSN 2524-3489     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/26975/1/42466_2019_Article_28.pdf