2.50
Hdl Handle:
http://hdl.handle.net/10547/333647
Title:
Computer-aided segmentation and estimation of indices in brain CT scans
Authors:
Schetinin, Vitaly ( 0000-0003-1826-0153 ) ; Qureshi, Adnan N.
Abstract:
The importance of neuro-imaging as one of the biomarkers for diagnosis and prognosis of pathologies and traumatic cases is well established. Doctors routinely perform linear measurements on neuro-images to ascertain severity and extent of the pathology or trauma from significant anatomical changes. However, it is a tedious and time consuming process and manually assessing and reporting on large volume of data is fraught with errors and variation. In this paper we present a novel technique for segmentation of significant anatomical landmarks using artificial neural networks and estimation of various ratios and indices performed on brain CT scans. The proposed method is efficient and robust in detecting and measuring sizes of anatomical structures on non-contrast CT scans and has been evaluated on images from subjects with ages between 5 to 85 years. Results show that our method has average ICC of ≥0.97 and, hence, can be used in processing data for further use in research and clinical environment.
Affiliation:
University of Bedfordshire
Citation:
Qureshi, A., Schetinin, V. (2014) 'Computer-aided segmentation and estimation of indices in brain CT scans' 18th Annual Conference in Medical Image Understanding and Analysis, pp.161-166
Publisher:
City University, London
Issue Date:
2014
URI:
http://hdl.handle.net/10547/333647
Additional Links:
http://www.city.ac.uk/medical-image-understanding-and-analysis-2014/proceedings
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
1901725510
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorSchetinin, Vitalyen
dc.contributor.authorQureshi, Adnan N.en
dc.date.accessioned2014-11-04T09:38:26Z-
dc.date.available2014-11-04T09:38:26Z-
dc.date.issued2014-
dc.identifier.citationQureshi, A., Schetinin, V. (2014) 'Computer-aided segmentation and estimation of indices in brain CT scans' 18th Annual Conference in Medical Image Understanding and Analysis, pp.161-166en
dc.identifier.isbn1901725510-
dc.identifier.urihttp://hdl.handle.net/10547/333647-
dc.description.abstractThe importance of neuro-imaging as one of the biomarkers for diagnosis and prognosis of pathologies and traumatic cases is well established. Doctors routinely perform linear measurements on neuro-images to ascertain severity and extent of the pathology or trauma from significant anatomical changes. However, it is a tedious and time consuming process and manually assessing and reporting on large volume of data is fraught with errors and variation. In this paper we present a novel technique for segmentation of significant anatomical landmarks using artificial neural networks and estimation of various ratios and indices performed on brain CT scans. The proposed method is efficient and robust in detecting and measuring sizes of anatomical structures on non-contrast CT scans and has been evaluated on images from subjects with ages between 5 to 85 years. Results show that our method has average ICC of ≥0.97 and, hence, can be used in processing data for further use in research and clinical environment.en
dc.language.isoenen
dc.publisherCity University, Londonen
dc.relation.urlhttp://www.city.ac.uk/medical-image-understanding-and-analysis-2014/proceedingsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCT scansen
dc.subjectcomputerised tomographyen
dc.subjectneuro-imagingen
dc.subjectbrainen
dc.subjectneural networksen
dc.titleComputer-aided segmentation and estimation of indices in brain CT scansen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen
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