Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography

Artur Wysoczanski; Elsa D. Angelini; Yifei Sun; Benjamin M. Smith; Eric A. Hoffman; Karen Stukovsky; Matthew Budoff; Karol E. Watson; John Jeffrey Carr; Elizabeth C. Oelsner; R Graham Barr; Andrew F. Laine

doi:10.1109/ISBI53787.2023.10230821

Back

Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography

Conference proceeding

Open access

Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography

Artur Wysoczanski, Elsa D. Angelini, Yifei Sun, Benjamin M. Smith, Eric A. Hoffman, Karen Stukovsky, Matthew Budoff, Karol E. Watson, John Jeffrey Carr, Elizabeth C. Oelsner, …

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pp.1-5

04/18/2023

DOI: 10.1109/ISBI53787.2023.10230821

Files and links (1)

url

https://pmc.ncbi.nlm.nih.gov/articles/PMC11479650/pdf/nihms-2027025.pdfView

Open Access

Abstract

Total lung volume (TLV) at full inspiration is a parameter of significant interest in pulmonary physiology but requires computed tomography (CT) scanning of the full axial extent of the lung. There is a growing interest to infer TLV from cardiac CT scans, which are much more widely available in epidemiologic studies. In this study, we present an original approach to train a multi-view convolutional neural network (CNN) model to infer TLV from cardiac CT scans, which visualize about 2/3rd of the lung volume. Supervised learning is used, exploiting paired full-lung and cardiac CT scans in the Multi-Ethnic Study of Atherosclerosis (MESA). Our results show that our network outperforms existing regression models for TLV estimation, and achieves accuracy and reproducibility comparable to the scan-rescan reproducibility of TLV on full-lung CT.

Computed Tomography

CNN

Lung volume

Details

Title: Subtitle: Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography
Creators: Artur Wysoczanski - Columbia University
Elsa D. Angelini - Columbia University
Yifei Sun - Columbia University
Benjamin M. Smith - Columbia University
Eric A. Hoffman - University of Iowa
Karen Stukovsky - University of Washington
Matthew Budoff - Harbor–UCLA Medical Center
Karol E. Watson - David Geffen School of Medicine,Division of Cardiovascular Medicine,Los Angeles,CA,USA
John Jeffrey Carr - Vanderbilt University School of Medicine
Elizabeth C. Oelsner - Columbia University
R Graham Barr - Columbia University
Andrew F. Laine - Columbia University
Resource Type: Conference proceeding
Publication Details: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pp.1-5
DOI: 10.1109/ISBI53787.2023.10230821
eISSN: 1945-8452
Publisher: IEEE
Grant note: American Lung Association (10.13039/100002590)
Language: English
Date published: 04/18/2023
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
Record Identifier: 9984461350202771

Metrics

19 Record Views