Difference between revisions of "2015 Summer Project Week:BigDataFeatures"

From NAMIC Wiki
Jump to: navigation, search
Line 33: Line 33:
  
 
==References==
 
==References==
 +
[http://www.na-mic.org/Wiki/index.php/3D_SIFT_VIEW] SIFT View, NAMIC 2015 SLC Project Week <br>
 +
[http://www.matthewtoews.com/publications.html] "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.

Revision as of 17:15, 9 June 2015

Home < 2015 Summer Project Week:BigDataFeatures

Key Investigators

  • Matthew Toews, École de Technologie Supérieure
  • William Wells, BWH, Harvard Medical School
  • Tina Kapur, BWH, Harvard Medical School


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

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.

Retrieved from "https://www.na-mic.org/w/index.php?title=2015_Summer_Project_Week:BigDataFeatures&oldid=89374"