Difference between revisions of "2015 Summer Project Week:BigDataFeatures"
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1) Discussed applications of 3D SIFT-Rank | 1) Discussed applications of 3D SIFT-Rank | ||
* Analyzing COPD - lung CT - Raul San Jose Estepar | * Analyzing COPD - lung CT - Raul San Jose Estepar | ||
| − | * Identifying similar cases - MR/CT - Tobias Penzkofer | + | * Identifying similar cases - general MR/CT/US - Tobias Penzkofer |
| − | * Infant brain analysis - MR - Steve Pieper | + | * Infant brain analysis - brain MR - Steve Pieper |
| − | * Prostate segmentation - MR/US - Andrey Federov | + | * Prostate segmentation - MR/US - Andrey Federov, Salvatore Scaramuzzino |
| − | * | + | * Astronomical galaxy classification - radio data cube (lambda=21cm) - Davide Punzo |
2) Coding for kernel regression framework (C++) | 2) Coding for kernel regression framework (C++) | ||
</div> | </div> | ||
Latest revision as of 15:17, 24 June 2015
Home < 2015 Summer Project Week:BigDataFeatures
Key Investigators
- Matthew Toews, École de Technologie Supérieure
- William Wells, BWH, Harvard Medical School
- Raul San Jose Estepar, BWH, Harvard Medical School
- Tina Kapur, BWH, Harvard Medical School
- Utsav Pardasani, Robarts (Observing!)
- Salvatore Scaramuzzino (Interested!)
- Andrey Fedorov, BWH
3D SIFT-Rank Visualization, SLC 2015, IPMI 2015
Project Description
Objective
- This project will investigate the use of 3D SIFT-RANK image features for organizing and deriving information from 3D medical image volumes.
- Technology: invariant feature extraction, descriptor representation.
- Application domains: registration, segmentation, classification.
- Image domains: lung CT, brain MR, prostate and brain ultrasound.
- Clinical use case scenarios: chronic obstructive pulmonary disease, Alzheimer's disease, cancer.
Approach, Plan
- Discussion and documentation
- Algorithms: fast KNN methods, hashing, robust estimation (RANSAC, Hough transform).
- Mathematical formalisms: probabilistic inference, kernel methods, manifold learning.
Progress
1) Discussed applications of 3D SIFT-Rank
- Analyzing COPD - lung CT - Raul San Jose Estepar
- Identifying similar cases - general MR/CT/US - Tobias Penzkofer
- Infant brain analysis - brain MR - Steve Pieper
- Prostate segmentation - MR/US - Andrey Federov, Salvatore Scaramuzzino
- Astronomical galaxy classification - radio data cube (lambda=21cm) - Davide Punzo
2) Coding for kernel regression framework (C++)
References
[1] SIFT View, NAMIC 2015 SLC Project Week
[2] "A Feature-based Approach to Big Data Analysis of Medical Images", M. Toews, C. Wachinger, R. S. J. Estepar, W.M. Wells III.
Information Processing in Medical Imaging (IPMI), 2015.
[3] "Keypoint Transfer Segmentation", C. Wachinger, M. Toews, G. Langs, W.M. Wells IIIi, P. Golland. Information Processing in Medical Imaging (IPMI), 2015.
