Ultrasound and photoacoustic imaging for cancer detection and therapy guidance


Ultrasound and photoacoustic imaging for cancer detection and therapy guidance

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dc.contributor.advisor Emelianov, Stanislav Y.
dc.creator Kim, Seungsoo
dc.date.accessioned 2011-10-13T15:40:54Z
dc.date.available 2011-10-13T15:40:54Z
dc.date.created 2011-08
dc.date.issued 2011-10-13
dc.date.submitted August 2011
dc.identifier.uri http://hdl.handle.net/2152/ETD-UT-2011-08-4024
dc.description.abstract Cancer has been one of main causes of human deaths for many years. Early detection of cancer is essential to provide definitive treatment. Among many cancer treatment methods, nanoparticle-mediated photothermal therapy is considered as one of the promising cancer treatment methods because of its non-invasiveness and cancer-specific therapy. Ultrasound and photoacoustic imaging can be utilized for both cancer detection and photothermal therapy guidance. Ultrasound elasticity imaging can detect cancer using tissue elastic properties. Once cancer is diagnosed, spectroscopic photoacoustic imaging can be used to monitor nanoparticle delivery before photothermal therapy. When nanoparticles are well accumulated at the tumor, ultrasound and photoacoustic-based thermal imaging can be utilized for estimating temperature distribution during photothermal therapy to guide therapeutic procedure. In this dissertation, ultrasound beamforming, elasticity imaging, and spectroscopic photoacoustic imaging methods were developed to improve cancer detection and therapy guidance. Firstly, a display pixel based synthetic aperture focusing method was developed to fundamentally improve ultrasound image qualities. Secondly, an autocorrelation based sub-pixel displacement estimation method was developed to enhance signal-to-noise ratio of elasticity images. The developed elasticity imaging method was utilized to clinically evaluate the feasibility of using ultrasound elasticity imaging for prostate cancer detection. Lastly, a minimum mean square error based spectral separation method was developed to robustly utilize spectroscopic photoacoustic imaging. The developed spectroscopic photoacoustic imaging method was utilized to demonstrate ultrasound and photoacoustic image-guided photothermal cancer therapy using in-vivo tumor-bearing mouse models. The results of these studies suggest that ultrasound and photoacoustic imaging can assist both cancer detection and therapy guidance.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subject Ultrasound
dc.subject Photoacoustic
dc.subject Spectroscopic photoacoustic imaging
dc.subject Elasticity imaging
dc.subject Thermal imaging
dc.subject Nanoparticle
dc.title Ultrasound and photoacoustic imaging for cancer detection and therapy guidance
dc.date.updated 2011-10-13T15:41:09Z
dc.identifier.slug 2152/ETD-UT-2011-08-4024
dc.contributor.committeeMember Aglyamov, Salavat R.
dc.contributor.committeeMember Sokolov, Konstantin V.
dc.contributor.committeeMember Hamilton, Mark F.
dc.contributor.committeeMember Pearce, John A.
dc.description.department Biomedical Engineering
dc.type.genre thesis
dc.type.material text
thesis.degree.department Biomedical Engineering
thesis.degree.discipline Biomedical Engineering
thesis.degree.grantor University of Texas at Austin
thesis.degree.level Doctoral
thesis.degree.name Doctor of Philosophy

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