Characterization and Modeling of Brain Tissues Using Fractional Calculus

Simple item page
dc.contributor.advisorSun, Qiao
dc.contributor.advisorSutherland, Garnette
dc.contributor.authorJiao, Shanlin
dc.contributor.committeememberGoldsmith, Peter
dc.contributor.committeememberLeung, Henry
dc.contributor.committeememberPieper, Jeff K.
dc.date2018-06
dc.date.accessioned2018-02-22T16:57:29Z
dc.date.available2018-02-22T16:57:29Z
dc.date.issued2018-02
dc.description.abstractModeling of brain tissues is essential to better patient outcome. This research aims at modeling brain tissues based on their electrical impedance and viscoelasticity. Fractional order models can accurately model the two properties with few parameters in a wide spectral range. The Cole parameters extracted from step current response was applied to characterize the grey and white matter. Experimental results show that the Cole model fits well to experimental data and proposed Cole parameter extraction method is more effective in identifying Cole parameters. A fractional order viscoelastic model is employed to model the viscoelasticity of brain tissue. The predicted results are compared with the known experimental data and also that of integer order models, indicating the fractional order viscoelastic model can adequately fit all the experimental data with only two parameters.en_US
dc.identifier.citationJiao, S. (2018). Characterization and Modeling of Brain Tissues Using Fractional Calculus (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/5474en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/5474
dc.identifier.urihttp://hdl.handle.net/1880/106400
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.facultySchulich School of Engineering
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectFractional Calculus
dc.subjectCole impedance model
dc.subjectFractional order viscoelastic model
dc.subjectBrain tissue
dc.subjectRobot-assisted neurosurgery
dc.subjectFractional order model
dc.subject.classificationEducation--Tests and Measurementsen_US
dc.subject.classificationNeuroscienceen_US
dc.subject.classificationComputer Scienceen_US
dc.subject.classificationEngineering--Biomedicalen_US
dc.subject.classificationEngineering--Electronics and Electricalen_US
dc.subject.classificationEngineering--Mechanicalen_US
dc.subject.classificationRoboticsen_US
dc.subject.classificationPsychology--Experimentalen_US
dc.titleCharacterization and Modeling of Brain Tissues Using Fractional Calculus
dc.typemaster thesis
thesis.degree.disciplineMechanical and Manufacturing Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
ucalgary.thesis.checklistI confirm that I have submitted all of the required forms to Faculty of Graduate Studies.en_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ucalgary_2018_jiao_shanlin.pdf
Size:
37.44 MB
Format:
Adobe Portable Document Format
Description:
Master thesis
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.74 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Open Theses and Dissertations