Hubless 3D medical image bundle registration

Abstract : We propose a hubless medical image registration scheme, able to conjointly register massive amounts of images. Exploiting 3D points of interest combined with global optimization, our algorithm allows partial matches, does not need any prior information (full body image as a central patient model) and exhibits very good robustness by exploiting inter-volume relationships. We show the efficiency of our approach with the rigid registration of 400 CT volumes, and we provide an eye-detection application as a first step to patient image anonymization.
Document type :
Conference papers
Complete list of metadatas

Cited literature [28 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01284240
Contributor : Sébastien Valette <>
Submitted on : Monday, March 7, 2016 - 4:32:43 PM
Last modification on : Wednesday, December 12, 2018 - 1:24:01 AM
Long-term archiving on : Sunday, November 13, 2016 - 8:23:44 AM

File

AGIER-15-VISAPP.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01284240, version 1

Citation

Rémi Agier, Sébastien Valette, Laurent Fanton, Pierre Croisille, Rémy Prost. Hubless 3D medical image bundle registration. VISAPP 2016 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Feb 2016, Rome, Italy. pp.265-272. ⟨hal-01284240⟩

Share

Metrics

Record views

405

Files downloads

298