Cargando…
Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients
A robust method is presented for the segmentation of the full cerebral vasculature in 4-dimensional (4D) computed tomography (CT). The method consists of candidate vessel selection, feature extraction, random forest classification and postprocessing. Image features include among others the weighted...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688074/ https://www.ncbi.nlm.nih.gov/pubmed/29142240 http://dx.doi.org/10.1038/s41598-017-15617-w |
_version_ | 1783279078193758208 |
---|---|
author | Meijs, Midas Patel, Ajay van de Leemput, Sil C. Prokop, Mathias van Dijk, Ewoud J. de Leeuw, Frank-Erik Meijer, Frederick J. A. van Ginneken, Bram Manniesing, Rashindra |
author_facet | Meijs, Midas Patel, Ajay van de Leemput, Sil C. Prokop, Mathias van Dijk, Ewoud J. de Leeuw, Frank-Erik Meijer, Frederick J. A. van Ginneken, Bram Manniesing, Rashindra |
author_sort | Meijs, Midas |
collection | PubMed |
description | A robust method is presented for the segmentation of the full cerebral vasculature in 4-dimensional (4D) computed tomography (CT). The method consists of candidate vessel selection, feature extraction, random forest classification and postprocessing. Image features include among others the weighted temporal variance image and parameters, including entropy, of an intensity histogram in a local region at different scales. These histogram parameters revealed to be a strong feature in the detection of vessels regardless of shape and size. The method was trained and tested on a large database of 264 patients with suspicion of acute ischemia who underwent 4D CT in our hospital in the period January 2014 to December 2015. Five subvolumes representing different regions of the cerebral vasculature were annotated in each image in the training set by medical assistants. The evaluation was done on 242 patients. A total of 16 (<8%) patients showed severe under or over segmentation and were reported as failures. One out of five subvolumes was randomly annotated in 159 patients and was used for quantitative evaluation. Quantitative evaluation showed a Dice coefficient of 0.91 ± 0.07 and a modified Hausdorff distance of 0.23 ± 0.22 mm. Therefore, robust vessel segmentation in 4D CT is feasible with good accuracy. |
format | Online Article Text |
id | pubmed-5688074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56880742017-11-21 Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients Meijs, Midas Patel, Ajay van de Leemput, Sil C. Prokop, Mathias van Dijk, Ewoud J. de Leeuw, Frank-Erik Meijer, Frederick J. A. van Ginneken, Bram Manniesing, Rashindra Sci Rep Article A robust method is presented for the segmentation of the full cerebral vasculature in 4-dimensional (4D) computed tomography (CT). The method consists of candidate vessel selection, feature extraction, random forest classification and postprocessing. Image features include among others the weighted temporal variance image and parameters, including entropy, of an intensity histogram in a local region at different scales. These histogram parameters revealed to be a strong feature in the detection of vessels regardless of shape and size. The method was trained and tested on a large database of 264 patients with suspicion of acute ischemia who underwent 4D CT in our hospital in the period January 2014 to December 2015. Five subvolumes representing different regions of the cerebral vasculature were annotated in each image in the training set by medical assistants. The evaluation was done on 242 patients. A total of 16 (<8%) patients showed severe under or over segmentation and were reported as failures. One out of five subvolumes was randomly annotated in 159 patients and was used for quantitative evaluation. Quantitative evaluation showed a Dice coefficient of 0.91 ± 0.07 and a modified Hausdorff distance of 0.23 ± 0.22 mm. Therefore, robust vessel segmentation in 4D CT is feasible with good accuracy. Nature Publishing Group UK 2017-11-15 /pmc/articles/PMC5688074/ /pubmed/29142240 http://dx.doi.org/10.1038/s41598-017-15617-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Meijs, Midas Patel, Ajay van de Leemput, Sil C. Prokop, Mathias van Dijk, Ewoud J. de Leeuw, Frank-Erik Meijer, Frederick J. A. van Ginneken, Bram Manniesing, Rashindra Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients |
title | Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients |
title_full | Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients |
title_fullStr | Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients |
title_full_unstemmed | Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients |
title_short | Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients |
title_sort | robust segmentation of the full cerebral vasculature in 4d ct of suspected stroke patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5688074/ https://www.ncbi.nlm.nih.gov/pubmed/29142240 http://dx.doi.org/10.1038/s41598-017-15617-w |
work_keys_str_mv | AT meijsmidas robustsegmentationofthefullcerebralvasculaturein4dctofsuspectedstrokepatients AT patelajay robustsegmentationofthefullcerebralvasculaturein4dctofsuspectedstrokepatients AT vandeleemputsilc robustsegmentationofthefullcerebralvasculaturein4dctofsuspectedstrokepatients AT prokopmathias robustsegmentationofthefullcerebralvasculaturein4dctofsuspectedstrokepatients AT vandijkewoudj robustsegmentationofthefullcerebralvasculaturein4dctofsuspectedstrokepatients AT deleeuwfrankerik robustsegmentationofthefullcerebralvasculaturein4dctofsuspectedstrokepatients AT meijerfrederickja robustsegmentationofthefullcerebralvasculaturein4dctofsuspectedstrokepatients AT vanginnekenbram robustsegmentationofthefullcerebralvasculaturein4dctofsuspectedstrokepatients AT manniesingrashindra robustsegmentationofthefullcerebralvasculaturein4dctofsuspectedstrokepatients |