Difference between revisions of "2015 Summer Project Week:USReconstruction"
From NAMIC Wiki
(Created page with '==Key Investigators== * Frank Preiswerk * Laurent Chauvin') |
|||
Line 2: | Line 2: | ||
* Frank Preiswerk | * Frank Preiswerk | ||
* Laurent Chauvin | * Laurent Chauvin | ||
+ | |||
+ | |||
+ | ==Project Description== | ||
+ | <div style="margin: 20px;"> | ||
+ | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
+ | <h3>Objective</h3> | ||
+ | * This project will investigate the use of a single-element ultrasound transducer for 2D image reconstruction from navigated 2D ultrasound images. | ||
+ | * Technology: invariant feature extraction, descriptor representation. | ||
+ | * Application domains: registration, respiratory motion compensation | ||
+ | * Image domains: Ultrasound. | ||
+ | * Clinical use case scenarios: Establishment of a 4D motion atlas from 2D ultrasound data. | ||
+ | </div> | ||
+ | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
+ | <h3>Approach, Plan</h3> | ||
+ | * Discussion and documentation | ||
+ | * Algorithms: fast KNN methods, binning. | ||
+ | * Mathematical formalisms: Correlation, similarity measures. | ||
+ | </div> | ||
+ | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
+ | <h3>Progress</h3> | ||
+ | * | ||
+ | </div> | ||
+ | </div> |
Revision as of 14:28, 8 June 2015
Home < 2015 Summer Project Week:USReconstructionKey Investigators
- Frank Preiswerk
- Laurent Chauvin
Project Description
Objective
- This project will investigate the use of a single-element ultrasound transducer for 2D image reconstruction from navigated 2D ultrasound images.
- Technology: invariant feature extraction, descriptor representation.
- Application domains: registration, respiratory motion compensation
- Image domains: Ultrasound.
- Clinical use case scenarios: Establishment of a 4D motion atlas from 2D ultrasound data.
Approach, Plan
- Discussion and documentation
- Algorithms: fast KNN methods, binning.
- Mathematical formalisms: Correlation, similarity measures.