Monitoring slowly evolving tumors.

MONITORING SLOWLY EVOLVING TUMORS.
Proc IEEE Int Symp Biomed Imaging. 2008 May;2008:812-815
Authors: Konukoglu E, Wells WM, Novellas S, Ayache N, Kikinis R, Black PM, Pohl KM
Abstract
Change detection is a critical task in the diagnosis of many slowly evolving pathologies. This paper describes an approach that semi-automatically performs this task using longitudinal medical images. We are specifically interested in meningiomas, which experts often find difficult to monitor as the tumor evolution can be obscured by image artifacts. We test the method on synthetic data with known tumor growth as well as ten clinical data sets. We show that the results of our approach highly correlate with expert findings but seem to be less impacted by inter- and intra-rater variability.
PMID: 28593030 [PubMed]

Source: Proceedings - International Symposium on Biomedical Imaging - June 10, 2017 Category: Radiology Tags: Proc IEEE Int Symp Biomed Imaging Source Type: research