Histology to 3D in vivo MR registration for volumetric evaluation of MRgFUS treatment assessment biomarkers

Abstract Advances in imaging and early cancer detection have increased interest in magnetic resonance (MR) guided focused ultrasound (MRgFUS) technologies for cancer treatment. MRgFUS ablation treatments could reduce surgical risks, preserve organ tissue and function, and improve patient quality of...

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Main Authors: Blake E. Zimmerman, Sara L. Johnson, Henrik A. Odéen, Jill E. Shea, Rachel E. Factor, Sarang C. Joshi, Allison H. Payne
Format: Article
Language:English
Published: Nature Portfolio 2021-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-97309-0
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author Blake E. Zimmerman
Sara L. Johnson
Henrik A. Odéen
Jill E. Shea
Rachel E. Factor
Sarang C. Joshi
Allison H. Payne
author_facet Blake E. Zimmerman
Sara L. Johnson
Henrik A. Odéen
Jill E. Shea
Rachel E. Factor
Sarang C. Joshi
Allison H. Payne
author_sort Blake E. Zimmerman
collection DOAJ
description Abstract Advances in imaging and early cancer detection have increased interest in magnetic resonance (MR) guided focused ultrasound (MRgFUS) technologies for cancer treatment. MRgFUS ablation treatments could reduce surgical risks, preserve organ tissue and function, and improve patient quality of life. However, surgical resection and histological analysis remain the gold standard to assess cancer treatment response. For non-invasive ablation therapies such as MRgFUS, the treatment response must be determined through MR imaging biomarkers. However, current MR biomarkers are inconclusive and have not been rigorously evaluated against histology via accurate registration. Existing registration methods rely on anatomical features to directly register in vivo MR and histology. For MRgFUS applications in anatomies such as liver, kidney, or breast, anatomical features that are not caused by the treatment are often insufficient to drive direct registration. We present a novel MR to histology registration workflow that utilizes intermediate imaging and does not rely on anatomical MR features being visible in histology. The presented workflow yields an overall registration accuracy of 1.00 ± 0.13 mm. The developed registration pipeline is used to evaluate a common MRgFUS treatment assessment biomarker against histology. Evaluating MR biomarkers against histology using this registration pipeline will facilitate validating novel MRgFUS biomarkers to improve treatment assessment without surgical intervention. While the presented registration technique has been evaluated in a MRgFUS ablation treatment model, this technique could be potentially applied in any tissue to evaluate a variety of therapeutic options.
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spelling doaj.art-4726c0e6eea74e15a2541244e93016df2022-12-21T21:24:18ZengNature PortfolioScientific Reports2045-23222021-09-0111111210.1038/s41598-021-97309-0Histology to 3D in vivo MR registration for volumetric evaluation of MRgFUS treatment assessment biomarkersBlake E. Zimmerman0Sara L. Johnson1Henrik A. Odéen2Jill E. Shea3Rachel E. Factor4Sarang C. Joshi5Allison H. Payne6Department of Biomedical Engineering, University of UtahDepartment of Biomedical Engineering, University of UtahUtah Center for Advanced Imaging Research, University of UtahDepartment of Surgery, University of UtahDepartment of Pathology, University of UtahDepartment of Biomedical Engineering, University of UtahUtah Center for Advanced Imaging Research, University of UtahAbstract Advances in imaging and early cancer detection have increased interest in magnetic resonance (MR) guided focused ultrasound (MRgFUS) technologies for cancer treatment. MRgFUS ablation treatments could reduce surgical risks, preserve organ tissue and function, and improve patient quality of life. However, surgical resection and histological analysis remain the gold standard to assess cancer treatment response. For non-invasive ablation therapies such as MRgFUS, the treatment response must be determined through MR imaging biomarkers. However, current MR biomarkers are inconclusive and have not been rigorously evaluated against histology via accurate registration. Existing registration methods rely on anatomical features to directly register in vivo MR and histology. For MRgFUS applications in anatomies such as liver, kidney, or breast, anatomical features that are not caused by the treatment are often insufficient to drive direct registration. We present a novel MR to histology registration workflow that utilizes intermediate imaging and does not rely on anatomical MR features being visible in histology. The presented workflow yields an overall registration accuracy of 1.00 ± 0.13 mm. The developed registration pipeline is used to evaluate a common MRgFUS treatment assessment biomarker against histology. Evaluating MR biomarkers against histology using this registration pipeline will facilitate validating novel MRgFUS biomarkers to improve treatment assessment without surgical intervention. While the presented registration technique has been evaluated in a MRgFUS ablation treatment model, this technique could be potentially applied in any tissue to evaluate a variety of therapeutic options.https://doi.org/10.1038/s41598-021-97309-0
spellingShingle Blake E. Zimmerman
Sara L. Johnson
Henrik A. Odéen
Jill E. Shea
Rachel E. Factor
Sarang C. Joshi
Allison H. Payne
Histology to 3D in vivo MR registration for volumetric evaluation of MRgFUS treatment assessment biomarkers
Scientific Reports
title Histology to 3D in vivo MR registration for volumetric evaluation of MRgFUS treatment assessment biomarkers
title_full Histology to 3D in vivo MR registration for volumetric evaluation of MRgFUS treatment assessment biomarkers
title_fullStr Histology to 3D in vivo MR registration for volumetric evaluation of MRgFUS treatment assessment biomarkers
title_full_unstemmed Histology to 3D in vivo MR registration for volumetric evaluation of MRgFUS treatment assessment biomarkers
title_short Histology to 3D in vivo MR registration for volumetric evaluation of MRgFUS treatment assessment biomarkers
title_sort histology to 3d in vivo mr registration for volumetric evaluation of mrgfus treatment assessment biomarkers
url https://doi.org/10.1038/s41598-021-97309-0
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