Publications

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication


Year(s) from:  to 
Author:
Keywords (separated by spaces):

Multi-Atlas Segmentation and Landmark Localization in Images with Large Field of View

Tobias Gass, Orcun Goksel, and Gabor Székely
MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bigMCV)
Boston, MA, USA, September 2014

Abstract

In this work, we present multi-atlas based techniques for both segmentation and landmark detection in images with large field-of-view (FOV). Such images can provide important insight in the anatomical structure of the human body, but are challenging to deal with since the localization search space for landmarks and organs, in addition to the raw amount of data is large. In many studies, segmentation and localization techniques are developed specifically for an individual target anatomy or image modality. This can leave a substantial amount of the potential of large FOV images untapped, as the co-localization and shape variability of organs is neglected. We thus focus on modality and anatomy independent techniques to be applied to a wide range of input images. For segmentation, we propagate the multi-organ label maps from several atlases to a target image via a large FOV Markov random field (MRF) based non-rigid registration method. The propagated labels are then fused in the target domain using similarity-weighted majority voting. For landmark localization, we use a consensus based fusion of location estimates from several atlases identified by a template-matching approach. We present our results in the IEEE ISBI 2014 VISCERAL challenge as well as VISCERAL Anatomy1 + Anatomy2 benchmarks.


Link to publisher's page
@InProceedings{eth_biwi_01125,
  author = {Tobias Gass and Orcun Goksel and and Gabor Székely},
  title = {Multi-Atlas Segmentation and Landmark Localization in Images with Large Field of View},
  booktitle = {MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bigMCV)},
  year = {2014},
  month = {September},
  series = {Lecture Note in Computer Science (LNCS)},
  publisher = {Springer},
  keywords = {}
}