Home

Search

Collections

Journals

About

Contact us

My IOPscience

Using dynamic programming to improve fiducial marker localization

This content has been downloaded from IOPscience. Please scroll down to see the full text. 2014 Phys. Med. Biol. 59 1935 (http://iopscience.iop.org/0031-9155/59/8/1935) View the table of contents for this issue, or go to the journal homepage for more

Download details: IP Address: 137.207.120.173 This content was downloaded on 28/05/2014 at 08:56

Please note that terms and conditions apply.

Institute of Physics and Engineering in Medicine Phys. Med. Biol. 59 (2014) 1935–1946

Physics in Medicine and Biology

doi:10.1088/0031-9155/59/8/1935

Using dynamic programming to improve fiducial marker localization Hanlin Wan, Jiajia Ge and Parag Parikh Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, MO, USA E-mail: [email protected] Received 17 September 2013, revised 13 December 2013 Accepted for publication 18 February 2014 Published 20 March 2014 Abstract

Fiducial markers are used in a wide range of medical imaging applications. In radiation therapy, they are often implanted near tumors and used as motion surrogates that are tracked with fluoroscopy. We propose a novel and robust method based on dynamic programming (DP) for retrospectively localizing radiopaque fiducial markers in fluoroscopic images. Our method was compared to template matching (TM) algorithms on 407 data sets from 24 patients. We found that the performance of TM varied dramatically depending on the template used (ranging from 47% to 92% of data sets with a mean error

Using dynamic programming to improve fiducial marker localization.

Fiducial markers are used in a wide range of medical imaging applications. In radiation therapy, they are often implanted near tumors and used as moti...
1MB Sizes 0 Downloads 3 Views