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MRI-Based Strain Mapping for Cartilage Repair Assessment.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	MRI-Based Strain Mapping for Cartilage Repair Assessment./
作者:	Sajid, Sameer.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	131 p.
附註:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
標題:	Biomechanics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28414300
ISBN:	9798516956195

MRI-Based Strain Mapping for Cartilage Repair Assessment.
Sajid, Sameer.

MRI-Based Strain Mapping for Cartilage Repair Assessment. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 131 p.

Source: Masters Abstracts International, Volume: 83-02.

Thesis (M.S.)--Rensselaer Polytechnic Institute, 2021.

This item must not be sold to any third party vendors.

Current cartilage repair strategies fall short of therapeutic repair due to a lack of true tissue integration. As cutting-edge tissue engineering (TE) approaches advance toward recapitulation of the depth-dependent healthy tissue structure, repair assessment methods have not kept pace. Most in vitro TE studies employ destructive, singleton measurements that ignore spatially-dependent mechanical information, or they examine through-thickness mechanics by altering boundary conditions. Clinical research employs in vivo qualitative morphological assessment that ignores mechanical function entirely. There is a need for non-destructive, full-depth assessment of tissue mechanics.MRI is the current gold standard for assessing cartilage repair in vivo due to excellent tissue contrast and ability to visualize tissue morphology. MRI-based strain mapping can visualize changes associated with cartilage tissue defects and has been performed in vivo. However, the ability of MRI-based strains to evaluate cartilage repair has not been assessed. This was done through four key features of cartilage repair; tissue viscoelasticity, depth-dependent material properties, repair stiffness match, and interface mechanics.Here, I assessed the ability of MRI-based strain mapping in evaluating these features of cartilage repair. As TE methods move toward recapitulating tissue viscoelasticity, I attempted to fit full-depth tissue deformations to a quasi-linear viscoelastic model of cartilage; however, adequate fits required infeasible SNR and temporal resolution.Previous studies have examined depth-wise strain distribution as a correlate for depth-dependent material properties. I analyzed the strain distribution of MRI-based strain maps from depth-dependent agarose phantoms, from previously published work. While the strain distribution was more specific than mean strain in detecting differences in agarose concentration, it proved less sensitive. Thus, MRI-based mean strains were considered for the remaining work.Successful cartilage repair must feature a close match of material properties. While tissue viscoelasticity match represents the ideal repair scenario, many TE studies focus their effects on recapitulating Young's modulus first. I built a finite element (FE) of cartilage tissue featuring an inclusion of altered stiffness. I then synthesized MRI imaging-derived displacement maps using the model to simulate MRI-based strain mapping. I also analyzed strain map topography through texture-based spatial analysis techniques. I found that the mean ratio of the compressive strains of the inclusion versus the surrounding tissue strain was nearly perfectly correlated with the change in stiffness, with some correlation with spatial analyses heuristics. Additionally, MRI-based strains qualitatively visualized the regions of altered stiffness.Finally, I also assessed interface mechanics in a patient-based FE model of knee cartilage. I created a defect in the femoral tissue and filled it with repair tissue of varying material properties and interface strength. I examined the effects of the material stiffness and interface strength on the MRI-based strains and spatial analyses of the interface, compared to those of an intact model. I found that all strains were highly correlated with material stiffness match, but did not change at all based on interface strength. I conclude that MRI-based strains should be considered for cartilage repair evaluation. The mean strains of both the interface and regions of altered material properties correlated with mechanical stiffness changes. As a result, MRI-based strain mapping has clear qualitative value in assessing relative mechanical property differences.

ISBN: 9798516956195Subjects--Topical Terms:

548685
Biomechanics.
Subjects--Index Terms:

Cartilage

MRI-Based Strain Mapping for Cartilage Repair Assessment.
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300 $a 131 p.
500 $a Source: Masters Abstracts International, Volume: 83-02.
500 $a Advisor: Corr, David.
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506 $a This item must not be sold to any third party vendors.
520 $a Current cartilage repair strategies fall short of therapeutic repair due to a lack of true tissue integration. As cutting-edge tissue engineering (TE) approaches advance toward recapitulation of the depth-dependent healthy tissue structure, repair assessment methods have not kept pace. Most in vitro TE studies employ destructive, singleton measurements that ignore spatially-dependent mechanical information, or they examine through-thickness mechanics by altering boundary conditions. Clinical research employs in vivo qualitative morphological assessment that ignores mechanical function entirely. There is a need for non-destructive, full-depth assessment of tissue mechanics.MRI is the current gold standard for assessing cartilage repair in vivo due to excellent tissue contrast and ability to visualize tissue morphology. MRI-based strain mapping can visualize changes associated with cartilage tissue defects and has been performed in vivo. However, the ability of MRI-based strains to evaluate cartilage repair has not been assessed. This was done through four key features of cartilage repair; tissue viscoelasticity, depth-dependent material properties, repair stiffness match, and interface mechanics.Here, I assessed the ability of MRI-based strain mapping in evaluating these features of cartilage repair. As TE methods move toward recapitulating tissue viscoelasticity, I attempted to fit full-depth tissue deformations to a quasi-linear viscoelastic model of cartilage; however, adequate fits required infeasible SNR and temporal resolution.Previous studies have examined depth-wise strain distribution as a correlate for depth-dependent material properties. I analyzed the strain distribution of MRI-based strain maps from depth-dependent agarose phantoms, from previously published work. While the strain distribution was more specific than mean strain in detecting differences in agarose concentration, it proved less sensitive. Thus, MRI-based mean strains were considered for the remaining work.Successful cartilage repair must feature a close match of material properties. While tissue viscoelasticity match represents the ideal repair scenario, many TE studies focus their effects on recapitulating Young's modulus first. I built a finite element (FE) of cartilage tissue featuring an inclusion of altered stiffness. I then synthesized MRI imaging-derived displacement maps using the model to simulate MRI-based strain mapping. I also analyzed strain map topography through texture-based spatial analysis techniques. I found that the mean ratio of the compressive strains of the inclusion versus the surrounding tissue strain was nearly perfectly correlated with the change in stiffness, with some correlation with spatial analyses heuristics. Additionally, MRI-based strains qualitatively visualized the regions of altered stiffness.Finally, I also assessed interface mechanics in a patient-based FE model of knee cartilage. I created a defect in the femoral tissue and filled it with repair tissue of varying material properties and interface strength. I examined the effects of the material stiffness and interface strength on the MRI-based strains and spatial analyses of the interface, compared to those of an intact model. I found that all strains were highly correlated with material stiffness match, but did not change at all based on interface strength. I conclude that MRI-based strains should be considered for cartilage repair evaluation. The mean strains of both the interface and regions of altered material properties correlated with mechanical stiffness changes. As a result, MRI-based strain mapping has clear qualitative value in assessing relative mechanical property differences.
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650 4 $a Biomedical engineering. $3 535387
650 4 $a Medical imaging. $3 3172799
650 4 $a Health sciences. $3 3168359
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653 $a Imaging
653 $a Repair
653 $a Tissue engineering
653 $a Orthopedics
653 $a Tissue viscoelasticity
653 $a Depth-dependent material properties
653 $a Repair stiffness match
653 $a Interface mechanics
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791 $a M.S.
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793 $a English
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