Automated incisional hernia characterization by non-rigid registration of CT images – a pilot study

Incisional hernia repair makes use of prosthetic meshes to re-establish a biomechanically stable abdominal wall. Mesh sizing and fixation have been found to be essential for the clinical outcome. Comparative CT images a) under rest versus b) under Valsalva maneuver (exhalation against closed airways...

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Autores principales:	Voß Samuel, Lösel Philipp D., Heuveline Vincent, Saalfeld Sylvia, Berg Philipp, Kallinowski Friedrich
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	incisional hernia repair non-rigid registration computed tomography valsalva maneuver Medicine R
Acceso en línea:	https://doaj.org/article/9156c570207b44fa86de3ce0412f0b7c
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spelling	oai:doaj.org-article:9156c570207b44fa86de3ce0412f0b7c2021-12-05T14:10:42ZAutomated incisional hernia characterization by non-rigid registration of CT images – a pilot study2364-550410.1515/cdbme-2020-3024https://doaj.org/article/9156c570207b44fa86de3ce0412f0b7c2020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3024https://doaj.org/toc/2364-5504Incisional hernia repair makes use of prosthetic meshes to re-establish a biomechanically stable abdominal wall. Mesh sizing and fixation have been found to be essential for the clinical outcome. Comparative CT images a) under rest versus b) under Valsalva maneuver (exhalation against closed airways) provide useful information for hernia characterization. However, this process incorporates several manual measurements, which led to observer variability. The present study suggests using an image registration approach of the CT data to reliably and reproducibly extract hernia quantities. The routine is implemented in the software framework MATLAB and works fully automatic. After CT data import, slice by slice undergo non-rigid B-spline grid registration. Local displacement and strain are extracted from the transformation field. The qualitative results correspond to the clinical observation. Maximum displacement of 3.5 cm and maximum strain of 25 % are calculated for one patient’s data set. Current approaches do not provide this type of information. Further research will focus on validation and possibilities to include this new kind of knowledge into the design process of prosthetic meshes.Voß SamuelLösel Philipp D.Heuveline VincentSaalfeld SylviaBerg PhilippKallinowski FriedrichDe Gruyterarticleincisional hernia repairnon-rigid registrationcomputed tomographyvalsalva maneuverMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 91-94 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	incisional hernia repair non-rigid registration computed tomography valsalva maneuver Medicine R
spellingShingle	incisional hernia repair non-rigid registration computed tomography valsalva maneuver Medicine R Voß Samuel Lösel Philipp D. Heuveline Vincent Saalfeld Sylvia Berg Philipp Kallinowski Friedrich Automated incisional hernia characterization by non-rigid registration of CT images – a pilot study
description	Incisional hernia repair makes use of prosthetic meshes to re-establish a biomechanically stable abdominal wall. Mesh sizing and fixation have been found to be essential for the clinical outcome. Comparative CT images a) under rest versus b) under Valsalva maneuver (exhalation against closed airways) provide useful information for hernia characterization. However, this process incorporates several manual measurements, which led to observer variability. The present study suggests using an image registration approach of the CT data to reliably and reproducibly extract hernia quantities. The routine is implemented in the software framework MATLAB and works fully automatic. After CT data import, slice by slice undergo non-rigid B-spline grid registration. Local displacement and strain are extracted from the transformation field. The qualitative results correspond to the clinical observation. Maximum displacement of 3.5 cm and maximum strain of 25 % are calculated for one patient’s data set. Current approaches do not provide this type of information. Further research will focus on validation and possibilities to include this new kind of knowledge into the design process of prosthetic meshes.
format	article
author	Voß Samuel Lösel Philipp D. Heuveline Vincent Saalfeld Sylvia Berg Philipp Kallinowski Friedrich
author_facet	Voß Samuel Lösel Philipp D. Heuveline Vincent Saalfeld Sylvia Berg Philipp Kallinowski Friedrich
author_sort	Voß Samuel
title	Automated incisional hernia characterization by non-rigid registration of CT images – a pilot study
title_short	Automated incisional hernia characterization by non-rigid registration of CT images – a pilot study
title_full	Automated incisional hernia characterization by non-rigid registration of CT images – a pilot study
title_fullStr	Automated incisional hernia characterization by non-rigid registration of CT images – a pilot study
title_full_unstemmed	Automated incisional hernia characterization by non-rigid registration of CT images – a pilot study
title_sort	automated incisional hernia characterization by non-rigid registration of ct images – a pilot study
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/9156c570207b44fa86de3ce0412f0b7c
work_keys_str_mv	AT voßsamuel automatedincisionalherniacharacterizationbynonrigidregistrationofctimagesapilotstudy AT loselphilippd automatedincisionalherniacharacterizationbynonrigidregistrationofctimagesapilotstudy AT heuvelinevincent automatedincisionalherniacharacterizationbynonrigidregistrationofctimagesapilotstudy AT saalfeldsylvia automatedincisionalherniacharacterizationbynonrigidregistrationofctimagesapilotstudy AT bergphilipp automatedincisionalherniacharacterizationbynonrigidregistrationofctimagesapilotstudy AT kallinowskifriedrich automatedincisionalherniacharacterizationbynonrigidregistrationofctimagesapilotstudy
_version_	1718371796407812096

Automated incisional hernia characterization by non-rigid registration of CT images – a pilot study

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