IP Library › Granted Patent US 12,257,093
Granted Patent B2
US 12,257,093 · App. 17/769,333 · Granted Mar 25, 2025

Walk-in lab test for lung morphometry characterization

Inventors: Mahesh V Panchagnula (Chennai, IN); Karthiga Devi S G (Chennai, IN); Mohan Alladi (Tirupati, IN)
Assignees: Indian Institute of Technology Madras; Sri Venkateswara Institute of Medical Sciences (SVIMS)
A61B6/50A61B5/004A61B6/481A61B6/5217G06T7/0012G06T7/136G06T2207/30061
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,257,093
App. No.
17/769,333
Granted
Mar 25, 2025
Kind
B2
Abstract

The present invention relates to a method for estimating lung morphometry based on aerosol deposition characteristics using an imaging means such as a gamma camera to scan the lungs. An adaptive image threshold technique is used to determine the ratio of deposition in central to peripheral region of the lung (C/P ratio). The morphometric parameters such as length and diameter of distal lung airways (P 8 and P 9 respectively) and mean alveolar diameter (d alv ) are determined from aerosol retention data and clearance data.

Claims (21)

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 (P 8 ) and diameter (P 9 ) of the 17 th generation lung airway to the 23 rd generation lung airway, and mean alveolar diameter (d alv ) of said lung airways.

2. The method for estimating lung morphometry according to claim 1 , wherein said radio-aerosol is delivered to the lungs using any oral or nasal compliance.

3. The method for estimating lung morphometry according to claim 1 , wherein the imaging means is selected from a gamma imaging camera, CT scan, SPECT, and PET scan.

4. The method for estimating lung morphometry according to claim 1 , wherein the characteristics of said radio-aerosol deposition in said Central region (C) and said Peripheral region (P) include retention data and clearance data of radio-aerosol in the lungs.

5. The method for estimating lung morphometry according to claim 4 , wherein said retention data and said clearance data of said radio-aerosol in the lungs include time, volume, or percentage of said radio-aerosol in the lungs.

6. The method for estimating lung morphometry according to claim 1 , wherein said minimizing an error function is a normed difference between numerical predictions of (C/P) m ratio and experimentally determined values C/P ratio.

Priority Claims (1)
IN 201941041658 · Oct 15, 2019 · national
Continuity (1)
Related Publication 20220354366A1 · Nov 10, 2022
References Cited (14)
US 20090285763A1 · Finlay et al. · 2009 [cited by applicant]
CA 2622987C · 2018 [cited by examiner]
EP 1011423A1 · 2000 [cited by applicant]
C. Wang, “Chapter 2: Morphometry of the human respiratory system”, Interface Science and Technology, vol. 5, pp. 7-30, 2005 (Year: 2005). [cited by examiner]
J. Fleming et al, “The Use of Combined Single Photon Emission Computed Tomography and X-ray Computed Tomography to Assess the Fate of Inhaled Aerosol”, Journal of Aerosol Medicine and Pulmonary Drug Delivery, vol. 24, N… [cited by examiner]
J. Fleming et al, “Determination of regional lung air volume distribution at mid-tidal breathing from computed tomography: a retrospective study of normal variability and reproducibility”, BMC Medical Imaging, vol. 14, … [cited by examiner]
V. Galindo-Filho et al, “Radioaerosol Pulmonary Deposition Using Mesh and Jet Nebulizers During Noninvasive Ventilation in Healthy Subjects”, Respiratory Care, vol. 60, No. 9, pp. 1238-1246, Sep. 2015 (Year: 2015). [cited by examiner]
S. Devi et al, “Designing aerosol size distribution to minimize inter-subject variability of alveolar deposition”, Journal of Aerosol Science, vol. 101, pp. 144-155, 2016 (Year: 2016). [cited by examiner]
C. Holsbeke et al, “Use of functional respiratory imaging to characterize the effect of inhalation profile and particle size on lung deposition of inhaled . . . agonists delivered via a pressurized metered-dose inhaler”… [cited by examiner]
G. Taylor et al, “Gamma scintigraphic pulmonary deposition study of glycopyrronium/ formoterol metered dose inhaler formulated using co-suspension delivery technology”, European Journal of Pharmaceutical Sciences, vol. … [cited by examiner]
J. Virchow et al, “Lung Deposition of the Dry Powder Fixed Combination Beclometasone Dipropionate Plus Formoterol Fumarate Using NEXThaler Device in Healthy Subjects, Asthmatic Patients, and COPD Patients”, Journal of A… [cited by examiner]
Am J Physiol Lung Cell Mol Physiol., Jun. 15, 2013, 304(12):L831-43. [cited by applicant]
J Aerosol Med., Summer 2007;20(2):127-40. [cited by applicant]
Sci Rep. Mar. 28, 2018;8(1):5341. [cited by applicant]