Skip to Main content Skip to Navigation
Conference papers

Statistics on Anatomic Objects Reflecting Inter-Object Relations

Abstract : Describing the probability densities of multi-object complexes by describing individual objects and their inter-object relationships leads to desirable locality without ignoring the context of an object. We describe a means of decomposing object variations into self effects and neighbor effects. We describe an approach for estimating the self and neighbor effect probability densities for each object in the complex using augmentation and prediction, supported by PGA on m-reps. We apply this method to the inter-day variation of m-reps of male pelvic organs within an individual patient.
Document type :
Conference papers
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download

https://hal.inria.fr/inria-00634259
Contributor : Service Ist Inria Sophia Antipolis-Méditerranée / I3s <>
Submitted on : Thursday, October 20, 2011 - 4:32:35 PM
Last modification on : Wednesday, August 21, 2019 - 10:22:06 AM
Long-term archiving on: : Saturday, January 21, 2012 - 2:30:50 AM

File

Jeong_MFCA06.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00634259, version 1

Collections

Citation

Ja-Yeon Jeong, Stephen M. Pizer, Surajit Ray. Statistics on Anatomic Objects Reflecting Inter-Object Relations. 1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability, Oct 2006, Copenhagen, Denmark. pp.136-145. ⟨inria-00634259⟩

Share

Metrics

Record views

174

Files downloads

409