Construction of Analysis-Suitable Vascular Models Using Axis-Aligned Polycubes.
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| Title: | Construction of Analysis-Suitable Vascular Models Using Axis-Aligned Polycubes. |
|---|---|
| Authors: | Updegrove, Adam R.1 updega2@berkeley.edu, Shadden, Shawn C.1 shadden@berkeley.edu, Wilson, Nathan M.2 nwilson@osmsc.com |
| Source: | Journal of Biomechanical Engineering. Jun2019, Vol. 41 Issue 6, p6-6. 1p. |
| Subjects: | Diagnostic imaging, Blood flow, Cardiovascular surgery |
| Abstract: | Image-based modeling is an active and growing area of biomedical research that utilizes medical imaging to create patient-specific simulations of physiological function. Under this paradigm, anatomical structures are segmented from a volumetric image, creating a geometric model that serves as a computational domain for physics-based modeling. A common application is the segmentation of cardiovascular structures to numerically model blood flow or tissue mechanics. The segmentation of medical image data typically results in a discrete boundary representation (surface mesh) of the segmented structure. However, it is often desirable to have an analytic representation of the model, which facilitates systematic manipulation. For example, the model then becomes easier to union with a medical device, or the geometry can be virtually altered to test or optimize a surgery. Furthermore, to employ increasingly popular isogeometric analysis (IGA) methods, the parameterization must be analysis suitable. Converting a discrete surface model to an analysis-suitable model remains a challenge, especially for complex branched structures commonly encountered in cardiovascular modeling. To address this challenge, we present a framework to convert discrete surface models of vascular geometries derived from medical image data into analysis-suitable nonuniform rational B-splines (NURBS) representation. This is achieved by decomposing the vascular geometry into a polycube structure that can be used to form a globally valid parameterization. We provide several practical examples and demonstrate the accuracy of the methods by quantifying the fidelity of the parameterization with respect to the input geometry. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Biomechanical Engineering is the property of American Society of Mechanical Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 136258474 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Construction of Analysis-Suitable Vascular Models Using Axis-Aligned Polycubes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Updegrove%2C+Adam+R%2E%22">Updegrove, Adam R.</searchLink><relatesTo>1</relatesTo><i> updega2@berkeley.edu</i><br /><searchLink fieldCode="AR" term="%22Shadden%2C+Shawn+C%2E%22">Shadden, Shawn C.</searchLink><relatesTo>1</relatesTo><i> shadden@berkeley.edu</i><br /><searchLink fieldCode="AR" term="%22Wilson%2C+Nathan+M%2E%22">Wilson, Nathan M.</searchLink><relatesTo>2</relatesTo><i> nwilson@osmsc.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Biomechanical+Engineering%22">Journal of Biomechanical Engineering</searchLink>. Jun2019, Vol. 41 Issue 6, p6-6. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Diagnostic+imaging%22">Diagnostic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Blood+flow%22">Blood flow</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiovascular+surgery%22">Cardiovascular surgery</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Image-based modeling is an active and growing area of biomedical research that utilizes medical imaging to create patient-specific simulations of physiological function. Under this paradigm, anatomical structures are segmented from a volumetric image, creating a geometric model that serves as a computational domain for physics-based modeling. A common application is the segmentation of cardiovascular structures to numerically model blood flow or tissue mechanics. The segmentation of medical image data typically results in a discrete boundary representation (surface mesh) of the segmented structure. However, it is often desirable to have an analytic representation of the model, which facilitates systematic manipulation. For example, the model then becomes easier to union with a medical device, or the geometry can be virtually altered to test or optimize a surgery. Furthermore, to employ increasingly popular isogeometric analysis (IGA) methods, the parameterization must be analysis suitable. Converting a discrete surface model to an analysis-suitable model remains a challenge, especially for complex branched structures commonly encountered in cardiovascular modeling. To address this challenge, we present a framework to convert discrete surface models of vascular geometries derived from medical image data into analysis-suitable nonuniform rational B-splines (NURBS) representation. This is achieved by decomposing the vascular geometry into a polycube structure that can be used to form a globally valid parameterization. We provide several practical examples and demonstrate the accuracy of the methods by quantifying the fidelity of the parameterization with respect to the input geometry. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Biomechanical Engineering is the property of American Society of Mechanical Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1115/1.4040773 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 6 Subjects: – SubjectFull: Diagnostic imaging Type: general – SubjectFull: Blood flow Type: general – SubjectFull: Cardiovascular surgery Type: general Titles: – TitleFull: Construction of Analysis-Suitable Vascular Models Using Axis-Aligned Polycubes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Updegrove, Adam R. – PersonEntity: Name: NameFull: Shadden, Shawn C. – PersonEntity: Name: NameFull: Wilson, Nathan M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 01480731 Numbering: – Type: volume Value: 41 – Type: issue Value: 6 Titles: – TitleFull: Journal of Biomechanical Engineering Type: main |
| ResultId | 1 |
