Application of frozen Thiel-embalmed specimens for radiotherapy delineation guideline development : a method to create accurate MRI-enhanced CT datasets
- Author
- Michael Stouthandel (UGent) , Pim Pullens (UGent) , Stephanie Bogaert (UGent) , Max Schoepen (UGent) , Carl Vangestel (UGent) , Eric Achten (UGent) , Liv Veldeman (UGent) and Tom Van Hoof (UGent)
- Organization
- Project
- Abstract
- Purpose Thiel embalming followed by freezing in the desired position and acquiring CT + MRI scans is expected to be the ideal approach to obtain accurate, enhanced CT data for delineation guideline development. The effect of Thiel embalming and freezing on MRI image quality is not known. This study evaluates the above-described process to obtain enhanced CT datasets, focusing on the integration of MRI data obtained from frozen, Thiel-embalmed specimens. Methods Three Thiel-embalmed specimens were frozen in prone crawl position and MRI scanning protocols were evaluated based on contrast detail and structural conformity between 3D renderings from corresponding structures, segmented on corresponding MRI and CT scans. The measurement error of the dataset registration procedure was also assessed. Results Scanning protocol T1 VIBE FS enabled swift differentiation of soft tissues based on contrast detail, even allowing a fully detailed segmentation of the brachial plexus. Structural conformity between the reconstructed structures on CT and MRI was excellent, with nerves and blood vessels imported into the CT scan never intersecting with the bones. The mean measurement error for the image registration procedure was consistently in the submillimeter range (range 0.77-0.94 mm). Conclusion Based on the excellent MRI image quality and the submillimeter error margin, the procedure of scanning frozen Thiel-embalmed specimens in the treatment position to obtain enhanced CT scans is recommended. The procedure can be used to support the postulation of delineation guidelines, or for training deep learning algorithms, considering automated segmentations.
- Keywords
- Oncology, Radiology, Nuclear Medicine and imaging, Frozen and embalmed human cadaveric specimens, Magnetic resonance imaging, Medical image processing, Image registration, Prone crawl position, RADIATION-THERAPY, BRACHIAL-PLEXUS, COMPUTED-TOMOGRAPHY, CANCER, REGISTRATION, TEMPERATURE, TISSUE, WOMEN, RISK, QUANTIFICATION
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8749457
- MLA
- Stouthandel, Michael, et al. “Application of Frozen Thiel-Embalmed Specimens for Radiotherapy Delineation Guideline Development : A Method to Create Accurate MRI-Enhanced CT Datasets.” STRAHLENTHERAPIE UND ONKOLOGIE, vol. 198, no. 6, 2022, pp. 582–92, doi:10.1007/s00066-022-01928-z.
- APA
- Stouthandel, M., Pullens, P., Bogaert, S., Schoepen, M., Vangestel, C., Achten, E., … Van Hoof, T. (2022). Application of frozen Thiel-embalmed specimens for radiotherapy delineation guideline development : a method to create accurate MRI-enhanced CT datasets. STRAHLENTHERAPIE UND ONKOLOGIE, 198(6), 582–592. https://doi.org/10.1007/s00066-022-01928-z
- Chicago author-date
- Stouthandel, Michael, Pim Pullens, Stephanie Bogaert, Max Schoepen, Carl Vangestel, Eric Achten, Liv Veldeman, and Tom Van Hoof. 2022. “Application of Frozen Thiel-Embalmed Specimens for Radiotherapy Delineation Guideline Development : A Method to Create Accurate MRI-Enhanced CT Datasets.” STRAHLENTHERAPIE UND ONKOLOGIE 198 (6): 582–92. https://doi.org/10.1007/s00066-022-01928-z.
- Chicago author-date (all authors)
- Stouthandel, Michael, Pim Pullens, Stephanie Bogaert, Max Schoepen, Carl Vangestel, Eric Achten, Liv Veldeman, and Tom Van Hoof. 2022. “Application of Frozen Thiel-Embalmed Specimens for Radiotherapy Delineation Guideline Development : A Method to Create Accurate MRI-Enhanced CT Datasets.” STRAHLENTHERAPIE UND ONKOLOGIE 198 (6): 582–592. doi:10.1007/s00066-022-01928-z.
- Vancouver
- 1.Stouthandel M, Pullens P, Bogaert S, Schoepen M, Vangestel C, Achten E, et al. Application of frozen Thiel-embalmed specimens for radiotherapy delineation guideline development : a method to create accurate MRI-enhanced CT datasets. STRAHLENTHERAPIE UND ONKOLOGIE. 2022;198(6):582–92.
- IEEE
- [1]M. Stouthandel et al., “Application of frozen Thiel-embalmed specimens for radiotherapy delineation guideline development : a method to create accurate MRI-enhanced CT datasets,” STRAHLENTHERAPIE UND ONKOLOGIE, vol. 198, no. 6, pp. 582–592, 2022.
@article{8749457,
abstract = {{Purpose Thiel embalming followed by freezing in the desired position and acquiring CT + MRI scans is expected to be the ideal approach to obtain accurate, enhanced CT data for delineation guideline development. The effect of Thiel embalming and freezing on MRI image quality is not known. This study evaluates the above-described process to obtain enhanced CT datasets, focusing on the integration of MRI data obtained from frozen, Thiel-embalmed specimens. Methods Three Thiel-embalmed specimens were frozen in prone crawl position and MRI scanning protocols were evaluated based on contrast detail and structural conformity between 3D renderings from corresponding structures, segmented on corresponding MRI and CT scans. The measurement error of the dataset registration procedure was also assessed. Results Scanning protocol T1 VIBE FS enabled swift differentiation of soft tissues based on contrast detail, even allowing a fully detailed segmentation of the brachial plexus. Structural conformity between the reconstructed structures on CT and MRI was excellent, with nerves and blood vessels imported into the CT scan never intersecting with the bones. The mean measurement error for the image registration procedure was consistently in the submillimeter range (range 0.77-0.94 mm). Conclusion Based on the excellent MRI image quality and the submillimeter error margin, the procedure of scanning frozen Thiel-embalmed specimens in the treatment position to obtain enhanced CT scans is recommended. The procedure can be used to support the postulation of delineation guidelines, or for training deep learning algorithms, considering automated segmentations.}},
author = {{Stouthandel, Michael and Pullens, Pim and Bogaert, Stephanie and Schoepen, Max and Vangestel, Carl and Achten, Eric and Veldeman, Liv and Van Hoof, Tom}},
issn = {{0179-7158}},
journal = {{STRAHLENTHERAPIE UND ONKOLOGIE}},
keywords = {{Oncology,Radiology,Nuclear Medicine and imaging,Frozen and embalmed human cadaveric specimens,Magnetic resonance imaging,Medical image processing,Image registration,Prone crawl position,RADIATION-THERAPY,BRACHIAL-PLEXUS,COMPUTED-TOMOGRAPHY,CANCER,REGISTRATION,TEMPERATURE,TISSUE,WOMEN,RISK,QUANTIFICATION}},
language = {{eng}},
number = {{6}},
pages = {{582--592}},
title = {{Application of frozen Thiel-embalmed specimens for radiotherapy delineation guideline development : a method to create accurate MRI-enhanced CT datasets}},
url = {{http://doi.org/10.1007/s00066-022-01928-z}},
volume = {{198}},
year = {{2022}},
}
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