Literature DB >> 20444453

Three-dimensional registration of histology of human atherosclerotic carotid plaques to in-vivo imaging.

Harald C Groen1, Theo van Walsum, Sietske Rozie, Stefan Klein, Kim van Gaalen, Frank J H Gijsen, Piotr A Wielopolski, Heleen M M van Beusekom, Rini de Crom, Hence J M Verhagen, Antonius F W van der Steen, Aad van der Lugt, Jolanda J Wentzel, Wiro J Niessen.   

Abstract

An accurate spatial relationship between 3D in-vivo carotid plaque and lumen imaging and histological cross sections is required to study the relationship between biomechanical parameters and atherosclerotic plaque components. We present and evaluate a fully three-dimensional approach for this registration problem, which accounts for deformations that occur during the processing of the specimens. By using additional imaging steps during tissue processing and semi-automated non-linear registration techniques, a 3D-reconstruction of the histology is obtained. The methodology was evaluated on five specimens obtained from patients, operated for severe atherosclerosis in the carotid bifurcation. In more than 80% of the histology slices, the quality of the semi-automated registration with computed tomography angiography (CTA) was equal to or better than the manual registration. The inter-observer variability was between one and two in-vivo CT voxels and was equal to the manual inter-observer variability. Our technique showed that the angles between the normals of the registered histology slices and the in-vivo CTA scan direction ranged 6-56 degrees , indicating that proper 3D-registration is crucial for establishing a correct spatial relation with in-vivo imaging modalities. This new 3D-reconstruction technique of atherosclerotic plaque tissue opens new avenues in the field of biomechanics as well as in the field of image processing, where it can be used for validation purposes of segmentation algorithms. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20444453     DOI: 10.1016/j.jbiomech.2010.04.005

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  10 in total

1.  Regional Mapping of Flow and Wall Characteristics of Intracranial Aneurysms.

Authors:  Juan R Cebral; Xinjie Duan; Piyusha S Gade; Bong Jae Chung; Fernando Mut; Khaled Aziz; Anne M Robertson
Journal:  Ann Biomed Eng       Date:  2016-06-27       Impact factor: 3.934

2.  An initial evaluation of analyser-based phase-contrast X-ray imaging of carotid plaque microstructure.

Authors:  A A Appel; C-Y Chou; J C Larson; Z Zhong; F J Schoen; C M Johnston; E M Brey; M A Anastasio
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

3.  Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI.

Authors:  Daniel H Adler; John Pluta; Salmon Kadivar; Caryne Craige; James C Gee; Brian B Avants; Paul A Yushkevich
Journal:  Neuroimage       Date:  2013-09-12       Impact factor: 6.556

4.  Interactive registration of 2D histology and 3D CT data for assessment of radiofrequency ablation treatment.

Authors:  Matthias Seise; Tuomas Alhonnoro; Marina Kolesnik
Journal:  J Pathol Inform       Date:  2012-01-19

5.  Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty.

Authors:  Arna van Engelen; Wiro J Niessen; Stefan Klein; Harald C Groen; Hence J M Verhagen; Jolanda J Wentzel; Aad van der Lugt; Marleen de Bruijne
Journal:  PLoS One       Date:  2014-04-24       Impact factor: 3.240

6.  A computer-simulation study on the effects of MRI voxel dimensions on carotid plaque lipid-core and fibrous cap segmentation and stress modeling.

Authors:  Harm A Nieuwstadt; Zaid A M Kassar; Aad van der Lugt; Marcel Breeuwer; Anton F W van der Steen; Jolanda J Wentzel; Frank J H Gijsen
Journal:  PLoS One       Date:  2015-04-09       Impact factor: 3.240

7.  Model-based cap thickness and peak cap stress prediction for carotid MRI.

Authors:  Annette M Kok; Aad van der Lugt; Hence J M Verhagen; Antonius F W van der Steen; Jolanda J Wentzel; Frank J H Gijsen
Journal:  J Biomech       Date:  2017-07-05       Impact factor: 2.712

8.  An MRI-based method to register patient-specific wall shear stress data to histology.

Authors:  A M Moerman; K Dilba; S Korteland; D H J Poot; S Klein; A van der Lugt; E V Rouwet; K van Gaalen; J J Wentzel; A F W van der Steen; F J H Gijsen; K Van der Heiden
Journal:  PLoS One       Date:  2019-06-06       Impact factor: 3.240

9.  18Fluorodeoxyglucose uptake in relation to fat fraction and R2* in atherosclerotic plaques, using PET/MRI: a pilot study.

Authors:  Elin Good; Miguel Ochoa-Figueroa; Magnus Ziegler; Marcus Ressner; Marcel Warntjes; Petter Dyverfeldt; Mark Lubberink; Håkan Ahlström; Ebo de Muinck
Journal:  Sci Rep       Date:  2021-07-09       Impact factor: 4.379

10.  Automated segmentation of atherosclerotic histology based on pattern classification.

Authors:  Arna van Engelen; Wiro J Niessen; Stefan Klein; Harald C Groen; Kim van Gaalen; Hence J Verhagen; Jolanda J Wentzel; Aad van der Lugt; Marleen de Bruijne
Journal:  J Pathol Inform       Date:  2013-03-30
  10 in total

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