Applications of optimization to medical imaging
Abstract/Contents
- Abstract
- In this work, we present several applications of optimization to medical imaging. These applications include image fusion, estimation of the attenuation coefficient with Optical Coherence Tomography, and image quantitation with Magnetic Resonance Imaging. Additionally, we present the Adaptive Bounding Algorithm, a new optimization algorithm based on subgradient descent.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Dwork, Nicholas | |
|---|---|---|
| Degree supervisor | Pauly, John (John M.) | |
| Thesis advisor | Pauly, John (John M.) | |
| Thesis advisor | Hargreaves, Brian Andrew | |
| Thesis advisor | Vasanawala, Shreyas | |
| Degree committee member | Hargreaves, Brian Andrew | |
| Degree committee member | Vasanawala, Shreyas | |
| Associated with | Stanford University, Department of Electrical Engineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Nicholas Dwork. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Nicholas Dwork
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