Tracking Promyelocytic Leukemia Nuclear Bodies for Disease Detection: A Proof of Concept via Filtering

Abstract

Nonlinear filtering has proven to be a valuable tool in many applications ranging from search and rescue to performing arts. Herein we discuss an application of filtering to medical imaging. A sample problem in detecting, tracking, and characterizing the movement of promyelocytic leukemia nuclear bodies within a cell nucleus is used to demonstrate the utility of nonlinear filtering in this area. Simulation results are presented and discussed.