US 10,376,712 B2
Real-time applicator position monitoring system
Junyi Xia, Iowa City, IA (US); Yusung Kim, Iowa City, IA (US); and Timothy J. Waldron, Iowa City, IA (US)
Assigned to University of Iowa Research Foundation, Iowa City, IA (US)
Filed by UNIVERSITY OF IOWA RESEARCH FOUNDATION, Iowa City, IA (US)
Filed on Dec. 1, 2016, as Appl. No. 15/366,537.
Claims priority of provisional application 62/261,607, filed on Dec. 1, 2015.
Prior Publication US 2017/0239491 A1, Aug. 24, 2017
Int. Cl. A61N 5/10 (2006.01); A61B 34/20 (2016.01); A61B 5/055 (2006.01); A61B 5/00 (2006.01); A61B 5/06 (2006.01); A61B 90/00 (2016.01)
CPC A61N 5/1007 (2013.01) [A61B 5/004 (2013.01); A61B 5/055 (2013.01); A61B 5/064 (2013.01); A61B 5/066 (2013.01); A61B 5/7207 (2013.01); A61B 34/20 (2016.02); A61B 5/6851 (2013.01); A61B 5/6852 (2013.01); A61B 5/7257 (2013.01); A61B 2034/2057 (2016.02); A61B 2034/2065 (2016.02); A61B 2090/397 (2016.02); A61B 2090/3954 (2016.02); A61B 2090/3966 (2016.02); A61B 2090/3983 (2016.02); A61B 2090/3995 (2016.02); A61B 2560/0223 (2013.01); A61N 2005/1055 (2013.01); A61N 2005/1059 (2013.01); A61N 2005/1061 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A real-time applicator monitoring system for use in HDR brachytherapy, comprising:
a. at least two markers, comprising a first marker and a second marker, wherein the first marker is configured to be attached to a brachytherapy applicator and the second marker is configured to be attached to a patient;
b. at least one camera configured to capture images of the at least two markers in relation to one another; and
c. a computer in communication with the at least one camera, the computer comprising memory and a processor, wherein the processor is configured to continuously monitor displacement of the brachytherapy applicator in relation to the patient during the HDR brachytherapy by processing the images of the at least two markers to determine the displacement of the brachytherapy applicator wherein the processor is further configured to:
i. perform edge preserved smoothing to images captured by the camera;
ii. detect edges of the at least two markers;
iii. reconstruct the at least two markers through morphological analysis;
iv. determine pixel size to determine a physical distance between the at least two markers; and
v. measure relative distance change between the at least two markers.