US 12,257,093 B2
Walk-in lab test for lung morphometry characterization
Mahesh V Panchagnula, Chennai (IN); Karthiga Devi S G, Chennai (IN); and Mohan Alladi, Tirupati (IN)
Assigned to Indian Institute of Technology Madras, Chennai (IN); and Sri Venkateswara Institute of Medical Sciences (SVIMS), Tirupati (IN)
Appl. No. 17/769,333
Filed by Indian Institute of Technology Madras, Chennai (IN); and Sri Venkateswara Institute of Medical Sciences (SVIMS), Tirupati (IN)
PCT Filed Oct. 13, 2020, PCT No. PCT/IN2020/050879
§ 371(c)(1), (2) Date Apr. 14, 2022,
PCT Pub. No. WO2021/074923, PCT Pub. Date Apr. 22, 2021.
Claims priority of application No. 201941041658 (IN), filed on Oct. 15, 2019.
Prior Publication US 2022/0354366 A1, Nov. 10, 2022
Int. Cl. A61B 6/50 (2024.01); A61B 5/00 (2006.01); A61B 6/00 (2024.01); G06T 7/00 (2017.01); G06T 7/136 (2017.01)
CPC A61B 6/50 (2013.01) [A61B 5/004 (2013.01); A61B 6/481 (2013.01); A61B 6/5217 (2013.01); G06T 7/0012 (2013.01); G06T 7/136 (2017.01); G06T 2207/30061 (2013.01)] 6 Claims
OG exemplary drawing
 
1. A method for estimating lung morphometry comprising of:
delivering radio-aerosol in a subject;
generating a plurality of images of lungs of said subject post-inhalation of the radio-aerosol using an imaging means,
wherein said images are obtained from imaging at t=0 hours and upto t=24 hours post-inhalation of said radio-aerosol;
applying an adaptive image threshold technique to draw a Region of Interest (ROI) on said images of the lungs for determining a Central region (C) of said ROI, and a Peripheral region (P) of said ROI, and determining ratio of radio-aerosol deposition in the Central region (C) to radio-aerosol deposition in the Peripheral region (P) of the lungs (C/P ratio) based on characteristics of said radio-aerosol deposition post-inhalation in the Central region (C) and the Peripheral region (P),
wherein said adaptive image threshold technique comprises of:
i) converting said images obtained from imaging at t=0 hours and upto t=24 hours post-inhalation of said radio-aerosol to gray scale images;
ii) cropping said gray scale images to make right lung as the only focus and obtain uniform dimensions of said gray scale images for said subject;
iii) calculating right lung boundary from said gray scale images by extracting said right lung boundary at a given threshold value through an automated iterative procedure until said threshold value for obtaining maximum said right lung boundary is achieved;
iv) obtaining right lung area by superimposing said right lung boundary over first image obtained from imaging at t=0 hours post-inhalation of said radio-aerosol;
(v) calculating the C/P ratio from the ratio of the area of the central region to the area of the peripheral region,
wherein said ratio of the area of the central region to the area of the peripheral region is obtained based on image intensities of said gray scale images in the central region (C) and the peripheral region (P); and
vi) shrinking said right lung area to create an area ratio obtained in step (v), using an iterative procedure,
wherein said iterative procedure comprises calculating and recalculating boundaries of said central and said peripheral regions based on said threshold value and said image intensities of said gray scale images until the central region is shrunk to one-third of said right lung boundary; and
determining parameters of lung morphometry based on said C/P ratio through an optimization procedure comprising minimizing an error function,
wherein said parameters of lung morphometry include length (P8) and diameter (P9) of the 17th generation lung airway to the 23rd generation lung airway, and mean alveolar diameter (dalv) of said lung airways.