US 12,293,516 B2
Pulmonary function identifying and treating method
Shih-Kai Hung, Chia-Yi (TW); Moon-Sing Lee, Chia-Yi (TW); Hon-Yi Lin, Chia-Yi (TW); Wen-Yen Chiou, Chia-Yi (TW); Liang-Cheng Chen, Chia-Yi (TW); Hui-Ling Hsieh, Chia-Yi (TW); Chih-Ying Yang, Chiayi (TW); Yin-Xuan Zheng, Chiayi (TW); and Jing Xiang Wong, Chiayi (TW)
Assigned to BUDDHIST TZU CHI MEDICAL FOUNDATION, Hualien (TW)
Filed by BUDDHIST TZU CHI MEDICAL FOUNDATION, Hualien (TW)
Filed on Aug. 11, 2022, as Appl. No. 17/885,840.
Claims priority of application No. 110130745 (TW), filed on Aug. 19, 2021.
Prior Publication US 2023/0061960 A1, Mar. 2, 2023
Int. Cl. G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/30 (2017.01)
CPC G06T 7/0012 (2013.01) [G06T 7/11 (2017.01); G06T 7/30 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/30061 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A pulmonary function identifying and treating method, comprising, in order, steps of:
obtaining, by a scanner, a first image of a patient, having first image elements, and a second image of the patient, having second image elements, respectively corresponding to a first state and a second state of a lung of the patient;
receiving, by a computer, the first image and the second image and extracting, by the computer, first feature points of the first image and second feature points of the second image, wherein a count of the first feature points is different from a count of the second feature points, the first feature points are located around and inside the first image, and the second feature points are located around and inside the second image;
registering, by the computer, the first image with the second image using a boundary point set registration method and an inner tissue registration method according to the first feature points and the second feature points, so that the first image elements correspond to the second image elements and tissue units of the lung;
determining, by the computer, functional index values representative of the tissue units of the lung using a ventilation function quantification method according to the first image elements and the second image elements corresponding to the first image elements;
performing, by the computer, radiation therapy planning according to the functional index values to obtain radiation therapy planning data;
receiving, by a radiation therapy apparatus, the radiation therapy planning data; and
treating the patient by the radiation therapy apparatus according to the radiation therapy planning data, wherein:
the boundary point set registration method is a coherent point drift (CPD) point set registration method, and the inner tissue registration method is a Demons image registration method utilizing gradient information of image intensities of the first image and the second image to register the first image and the second image with each other; and
a displacement vector field is obtained using the CPD point set registration method, and the displacement vector field is configured to an initial displacement vector field used in the Demons image registration method.