Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"University of Arizona" +contributor:("Hamilton, Russell J."). Showing records 1 – 2 of 2 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Arizona

1. Jones, Kyle M. Improving the Accuracy and Precision of Chemical Exchange Saturation Transfer (CEST) MRI .

Degree: 2016, University of Arizona

Chemical exchange saturation transfer (CEST) MRI has the ability to noninvasively measure endogenous biomarkers and exogenous agents relevant to various diseases and medical conditions. My work has focused on the development of MRI pulse sequences and data analysis methods to more accurately estimate endogenous and exogenous CEST contrast measurements at 7 T and 3 T magnetic field strengths. Chapter 1 discusses the various sources of signal that have been measured with CEST MRI in the clinic, the acquisition methods used to acquire these signals, and the data analysis methods used to quantify the CEST effects from these signals. Appendix A describes the development of a respiration gated CEST pulse sequence that was ultimately used with a lung fibrosis mouse model to measure extracellular pH (pHe) of the fibrotic lesions. Appendix B describes the development of a data processing algorithm that used the Bloch equations modified for chemical exchange to generate more accurate and precise pHe estimates both at 7 T and 3 T magnetic field strengths relative to a previous data processing algorithm. Appendix C describes the development of a retrospective gating technique for the lung that generates more accurate and precise endogenous CEST contrast measurements. Advisors/Committee Members: Pagel, Mark D (advisor), Pagel, Mark D. (committeemember), Kuo, Phillip H. (committeemember), Matsunaga, Terry O. (committeemember), Hamilton, Russell J. (committeemember).

Subjects/Keywords: Chemical Exchange Saturation Transfer; Extracellular pH; Tumor; Biomedical Engineering; Biomedical Imaging

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jones, K. M. (2016). Improving the Accuracy and Precision of Chemical Exchange Saturation Transfer (CEST) MRI . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/621793

Chicago Manual of Style (16th Edition):

Jones, Kyle M. “Improving the Accuracy and Precision of Chemical Exchange Saturation Transfer (CEST) MRI .” 2016. Doctoral Dissertation, University of Arizona. Accessed November 16, 2019. http://hdl.handle.net/10150/621793.

MLA Handbook (7th Edition):

Jones, Kyle M. “Improving the Accuracy and Precision of Chemical Exchange Saturation Transfer (CEST) MRI .” 2016. Web. 16 Nov 2019.

Vancouver:

Jones KM. Improving the Accuracy and Precision of Chemical Exchange Saturation Transfer (CEST) MRI . [Internet] [Doctoral dissertation]. University of Arizona; 2016. [cited 2019 Nov 16]. Available from: http://hdl.handle.net/10150/621793.

Council of Science Editors:

Jones KM. Improving the Accuracy and Precision of Chemical Exchange Saturation Transfer (CEST) MRI . [Doctoral Dissertation]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/621793


University of Arizona

2. Xu, Qianyi. Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer .

Degree: 2007, University of Arizona

Lung cancer is the most deadly cancer in the United States. Radiation therapy uses ionizing radiation with high energy to destroy lung tumor cells by damaging their genetic material, preventing those cells from reproducing. The most challenging aspect of modern radiation therapy for lung cancer is the motion of lung tumors caused by patient breathing during treatment. Most gating based radiotherapy derives the tumor motion from external surrogates and generates a respiratory signal to trigger the beam. We propose a method that monitors internal diaphragm motion, which can provide a respiratory signal that is more highly correlated to lung tumor motion compared to the external surrogates. We also investigate direct tracking of the tumor in fluoroscopic video imagery. We tracked fixed tumor contours in fluoroscopic videos for 5 patients. The predominant tumor displacements are well tracked based on optical flow. Some tumors or nearby anatomy features exhibit severe nonrigid deformation, especially in the supradiaphragmatic region. By combining Active Shape Models and the respiratory signal, the deformed contours are tracked within a range defined in the training period. All the tracking results are validated by a human expert and the proposed methods are promising for applications in radiotherapy. Another important aspect of lung patient treatment is patient setup verification, which is needed to reduce inter- and intra-fractions geometry uncertainties and ensure precise dose delivery. Currently, there is no universally accepted method for lung patient verification. We propose to register 4DCT and 2D x-ray images taken before treatment to derive the couch shifts necessary for precise radiotherapy. The proposed technique leads to improved patient care. Advisors/Committee Members: Schowengerdt, Robert A (advisor), Hamilton, Russell J. (committeemember), Strickland, Robin N. (committeemember).

Subjects/Keywords: Radiation Therapy; Tumor Tracking; Registration; Respiratory Gating; Setup Verification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xu, Q. (2007). Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/195222

Chicago Manual of Style (16th Edition):

Xu, Qianyi. “Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer .” 2007. Doctoral Dissertation, University of Arizona. Accessed November 16, 2019. http://hdl.handle.net/10150/195222.

MLA Handbook (7th Edition):

Xu, Qianyi. “Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer .” 2007. Web. 16 Nov 2019.

Vancouver:

Xu Q. Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer . [Internet] [Doctoral dissertation]. University of Arizona; 2007. [cited 2019 Nov 16]. Available from: http://hdl.handle.net/10150/195222.

Council of Science Editors:

Xu Q. Towards Intelligent Tumor Tracking and Setup Verification in Radiation Therapy For Lung Cancer . [Doctoral Dissertation]. University of Arizona; 2007. Available from: http://hdl.handle.net/10150/195222

.