@inproceedings{f5f8fd492f8143b0bce841cc43326012,
title = "Incorporating user input in template-based segmentation",
abstract = "We present a simple and elegant method to incorporate user input in a template-based segmentation method for diseased organs. The user provides a partial segmentation of the organ of interest, which is used to guide the template towards its target. The user also highlights some elements of the background that should be excluded from the final segmentation. We derive by likelihood maximization a registration algorithm from a simple statistical image model in which the user labels are modeled as Bernoulli random variables. The resulting registration algorithm minimizes the sum of square differences between the binary template and the user labels, while preventing the template from shrinking, and penalizing for the inclusion of background elements into the final segmentation. We assess the performance of the proposed algorithm on synthetic images in which the amount of user annotation is controlled. We demonstrate our algorithm on the segmentation of the lungs of Mycobacterium tuberculosis infected mice from μCT images.",
keywords = "Diseased Organs, Registration, Template-based Segmentation, User Input",
author = "Camille Vidal and Dale Beggs and Laurent Younes and Jain, {Sanjay K.} and Bruno Jedynak",
year = "2011",
doi = "10.1109/ISBI.2011.5872669",
language = "English (US)",
isbn = "9781424441280",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "1434--1437",
booktitle = "2011 8th IEEE International Symposium on Biomedical Imaging",
note = "2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 ; Conference date: 30-03-2011 Through 02-04-2011",
}