@inproceedings{PB-VRVis-2016-018,
author = {Hlad{\r{u}}vka, Ji{\v{r}}{\'{\i}} and Enkhbayar, Asura and Norman, Benjamin and Ljuhar, Richard},
title = {Automated ROI placement and trabecula-driven orientation for radiographic
  texture analyses of calcaneus},
year = {2016},
booktitle = {2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)},
editor = {N.N.},
url = {https://www.vrvis.at/publications/PB-VRVis-2016-018},
pages = {164-167},
abstract = {Radiographic texture analysis of calcaneus has been recently extensively  researched for automated discrimination between osteoporotic and healthy  subjects. Existing work concentrates on design of texture descriptors and  assumes already available texture patches previously defined by human  experts. In this paper we address the missing link to complete the  automatic workflow -- localization and orientation of regions of interest  (ROIs) the texture patches are sampled from. We exploit the shape of  calcaneus to define ROI position and the structure of trabecula to define  its orientation. We evaluated our automated method on 361 high-resolution  radiographs. Comparison to user-defined ROIs reveals localization  discrepancy of 1.85 \pm 1.06 mm and deviation in orientation of --1.81 \pm  7.31 degrees.},
keywords = {Bones;Image edge detection;Radiography;Robustness;Tensile stress;Transforms;
  X-ray imaging;ROI;Radiograph;calcaneus;structure;texture;trabecula},
}