@inproceedings{b1732a09e5e64a03a2ddc95365ab1f35,
title = "Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation",
abstract = "Distributed inflammation in infectious diseases cause variable uptake regions in positron emission tomography (PET) images. Due to this distributed nature of immuno-pathology and associated PET uptake, intensity based methods are much better suited over region based methods for segmentation. The most commonly used intensity based segmentation is thresholding, but it has a major drawback of a lack of consensus on the selection of the thresholding value. We propose a method to select an optimal thresholding value by utilizing a novel similarity metric between the data points along the gray-level histogram of the image then using Affinity Propagation (AP) to cluster the intensities based on this metric. This method is tested against the PET images of rabbits infected with tuberculosis with distributed uptakes with promising results.",
keywords = "Affinity Propagation, Image Segmentation, PET Segmentation, Target Definition, Thresholding",
author = "Brent Foster and Ulas Bagci and Brian Luna and Bappaditya Dey and William Bishai and Sanjay Jain and Ziyue Xu and Mollura, {Daniel J.}",
year = "2013",
doi = "10.1109/ISBI.2013.6556810",
language = "English (US)",
isbn = "9781467364546",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "1461--1464",
booktitle = "ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging",
note = "2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 ; Conference date: 07-04-2013 Through 11-04-2013",
}