Ultrasound-based Eigenfrequency Analysis to Determine Material Parameters of Tissue Mimicking Phantoms
A modern area of research in cancer treatment is magnetic drug targeting (MDT) with superparamagnetic iron oxide nanoparticles (SPIONs). In order to understand the processes involved in MDT in more detail and to be able to perform this therapy as efficiently as possible, a monitoring system for the...
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| Format: | Article |
| Language: | English |
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De Gruyter
2024-12-01
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| Series: | Current Directions in Biomedical Engineering |
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| Online Access: | https://doi.org/10.1515/cdbme-2024-2070 |
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| author | Heim Christian Huber Christian M. Ullmann Ingrid Lyer Stefan Rupitsch Stefan J. |
| author_facet | Heim Christian Huber Christian M. Ullmann Ingrid Lyer Stefan Rupitsch Stefan J. |
| author_sort | Heim Christian |
| collection | DOAJ |
| description | A modern area of research in cancer treatment is magnetic drug targeting (MDT) with superparamagnetic iron oxide nanoparticles (SPIONs). In order to understand the processes involved in MDT in more detail and to be able to perform this therapy as efficiently as possible, a monitoring system for the spatial distribution of SPIONs in biological tissue is required. One approach is to use magnetomotive ultrasound (MMUS) to monitor the spatial distribution over time. However, the spatial distribution of SPIONs cannot be quantitatively determined applying basic MMUS algorithms. Therefore, MMUS has been extended by a simulation part to quantitatively determine the spatial distribution of SPIONs. This extended MMUS algorithm requires the material parameters and the geometry of the target tumorous tissue. In this contribution, we describe an ultrasound-based eigenfrequency analysis combined with an iterative inverse simulation-based method to determine the mechanical parameter Young's modulus of tissue mimicking phantoms. The presented approach yields a good estimate of the Young's modulus compared to the result from a compression test. |
| format | Article |
| id | doaj-art-1c3f3bca83924e55963be0d986524432 |
| institution | Kabale University |
| issn | 2364-5504 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj-art-1c3f3bca83924e55963be0d9865244322025-01-02T05:56:33ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042024-12-0110428829010.1515/cdbme-2024-2070Ultrasound-based Eigenfrequency Analysis to Determine Material Parameters of Tissue Mimicking PhantomsHeim Christian0Huber Christian M.1Ullmann Ingrid2Lyer Stefan3Rupitsch Stefan J.4Department of Microsystems Engineering, Laboratory for Electrical Instrumentation and Embedded Systems, Albert-Ludwigs- Universität Freiburg,Freiburg, GermanySection of Experimental Oncology and Nanomedicine, Professorship for AI-Controlled Nanomaterials, Universitätsklinikum Erlangen,Erlangen, GermanyInstitute of Microwaves and Photonics, Friedrich-Alexander-Universität Erlangen-Nürnberg,Erlangen, GermanySection of Experimental Oncology and Nanomedicine, Professorship for AI-Controlled Nanomaterials, Universitätsklinikum Erlangen,Erlangen, GermanyDepartment of Microsystems Engineering, Laboratory for Electrical Instrumentation and Embedded Systems, Albert-Ludwigs- Universität Freiburg,Freiburg, GermanyA modern area of research in cancer treatment is magnetic drug targeting (MDT) with superparamagnetic iron oxide nanoparticles (SPIONs). In order to understand the processes involved in MDT in more detail and to be able to perform this therapy as efficiently as possible, a monitoring system for the spatial distribution of SPIONs in biological tissue is required. One approach is to use magnetomotive ultrasound (MMUS) to monitor the spatial distribution over time. However, the spatial distribution of SPIONs cannot be quantitatively determined applying basic MMUS algorithms. Therefore, MMUS has been extended by a simulation part to quantitatively determine the spatial distribution of SPIONs. This extended MMUS algorithm requires the material parameters and the geometry of the target tumorous tissue. In this contribution, we describe an ultrasound-based eigenfrequency analysis combined with an iterative inverse simulation-based method to determine the mechanical parameter Young's modulus of tissue mimicking phantoms. The presented approach yields a good estimate of the Young's modulus compared to the result from a compression test.https://doi.org/10.1515/cdbme-2024-2070magnetic drug targetingmagnetic nanoparticleseigenfrequency analysisultrasonic sensingpolyvinyl alcohol phantom |
| spellingShingle | Heim Christian Huber Christian M. Ullmann Ingrid Lyer Stefan Rupitsch Stefan J. Ultrasound-based Eigenfrequency Analysis to Determine Material Parameters of Tissue Mimicking Phantoms Current Directions in Biomedical Engineering magnetic drug targeting magnetic nanoparticles eigenfrequency analysis ultrasonic sensing polyvinyl alcohol phantom |
| title | Ultrasound-based Eigenfrequency Analysis to Determine Material Parameters of Tissue Mimicking Phantoms |
| title_full | Ultrasound-based Eigenfrequency Analysis to Determine Material Parameters of Tissue Mimicking Phantoms |
| title_fullStr | Ultrasound-based Eigenfrequency Analysis to Determine Material Parameters of Tissue Mimicking Phantoms |
| title_full_unstemmed | Ultrasound-based Eigenfrequency Analysis to Determine Material Parameters of Tissue Mimicking Phantoms |
| title_short | Ultrasound-based Eigenfrequency Analysis to Determine Material Parameters of Tissue Mimicking Phantoms |
| title_sort | ultrasound based eigenfrequency analysis to determine material parameters of tissue mimicking phantoms |
| topic | magnetic drug targeting magnetic nanoparticles eigenfrequency analysis ultrasonic sensing polyvinyl alcohol phantom |
| url | https://doi.org/10.1515/cdbme-2024-2070 |
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