Quantification and validation of soft tissue deformation

Thomas Hammershaimb Mosbech, Bjarne Kjær Ersbøll, Lars Bager Christensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

Abstract

We present a model for soft tissue deformation derived empirically from 10 pig carcases. The carcasses are subjected to deformation from a known single source of pressure located at the skin surface, and the deformation is quantified by means of steel markers injected into the tissue. The steel markers are easy to distinguish from the surrounding soft tissue in 3D computed tomography images. By tracking corresponding markers using methods from point-based registration, we are able to accurately quantify the magnitude and propagation of the induced deformation. The deformation is parameterised by radial basis functions with compact support. The parameterisation yields an absolute error with mean 0.20 mm, median 0.13 mm and standard deviation 0.21 mm (not cross validated). We use the parameterisation to form a statistical deformation model applying principal component analysis on the estimated deformation parameters. The model is successfully validated using leave-one-out cross validation by subject, achieving a sufficient level of precision using only the first two principal modes; mean 1.22 mm, median 1.11 mm and standard deviation 0.67 mm.
Original languageEnglish
Title of host publicationMedical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
EditorsP. Hu Xiaoping, Anne V. Clough
Number of pages8
Volume7262
PublisherSPIE - International Society for Optical Engineering
Publication date2009
Edition1
Pages72621D-8
DOIs
Publication statusPublished - 2009
EventQuantification and validation of soft tissue deformation - Lake Buena Vista, FL, USA
Duration: 1 Jan 2009 → …

Conference

ConferenceQuantification and validation of soft tissue deformation
CityLake Buena Vista, FL, USA
Period01/01/2009 → …

Cite this

Mosbech, T. H., Ersbøll, B. K., & Christensen, L. B. (2009). Quantification and validation of soft tissue deformation. In P. H. Xiaoping, & A. V. Clough (Eds.), Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging (1 ed., Vol. 7262, pp. 72621D-8). SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.811986
Mosbech, Thomas Hammershaimb ; Ersbøll, Bjarne Kjær ; Christensen, Lars Bager. / Quantification and validation of soft tissue deformation. Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging. editor / P. Hu Xiaoping ; Anne V. Clough. Vol. 7262 1. ed. SPIE - International Society for Optical Engineering, 2009. pp. 72621D-8
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abstract = "We present a model for soft tissue deformation derived empirically from 10 pig carcases. The carcasses are subjected to deformation from a known single source of pressure located at the skin surface, and the deformation is quantified by means of steel markers injected into the tissue. The steel markers are easy to distinguish from the surrounding soft tissue in 3D computed tomography images. By tracking corresponding markers using methods from point-based registration, we are able to accurately quantify the magnitude and propagation of the induced deformation. The deformation is parameterised by radial basis functions with compact support. The parameterisation yields an absolute error with mean 0.20 mm, median 0.13 mm and standard deviation 0.21 mm (not cross validated). We use the parameterisation to form a statistical deformation model applying principal component analysis on the estimated deformation parameters. The model is successfully validated using leave-one-out cross validation by subject, achieving a sufficient level of precision using only the first two principal modes; mean 1.22 mm, median 1.11 mm and standard deviation 0.67 mm.",
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Mosbech, TH, Ersbøll, BK & Christensen, LB 2009, Quantification and validation of soft tissue deformation. in PH Xiaoping & AV Clough (eds), Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging. 1 edn, vol. 7262, SPIE - International Society for Optical Engineering, pp. 72621D-8, Quantification and validation of soft tissue deformation, Lake Buena Vista, FL, USA, 01/01/2009. https://doi.org/10.1117/12.811986

Quantification and validation of soft tissue deformation. / Mosbech, Thomas Hammershaimb; Ersbøll, Bjarne Kjær; Christensen, Lars Bager.

Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging. ed. / P. Hu Xiaoping; Anne V. Clough. Vol. 7262 1. ed. SPIE - International Society for Optical Engineering, 2009. p. 72621D-8.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

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AB - We present a model for soft tissue deformation derived empirically from 10 pig carcases. The carcasses are subjected to deformation from a known single source of pressure located at the skin surface, and the deformation is quantified by means of steel markers injected into the tissue. The steel markers are easy to distinguish from the surrounding soft tissue in 3D computed tomography images. By tracking corresponding markers using methods from point-based registration, we are able to accurately quantify the magnitude and propagation of the induced deformation. The deformation is parameterised by radial basis functions with compact support. The parameterisation yields an absolute error with mean 0.20 mm, median 0.13 mm and standard deviation 0.21 mm (not cross validated). We use the parameterisation to form a statistical deformation model applying principal component analysis on the estimated deformation parameters. The model is successfully validated using leave-one-out cross validation by subject, achieving a sufficient level of precision using only the first two principal modes; mean 1.22 mm, median 1.11 mm and standard deviation 0.67 mm.

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Mosbech TH, Ersbøll BK, Christensen LB. Quantification and validation of soft tissue deformation. In Xiaoping PH, Clough AV, editors, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging. 1 ed. Vol. 7262. SPIE - International Society for Optical Engineering. 2009. p. 72621D-8 https://doi.org/10.1117/12.811986