Machine Learning with Low Dose CT Data

Principal Investigator

Name
Bennett Landman

Degrees
PhD

Institution
Vanderbilt University

Position Title
Professor

Email
bennett.landman@vanderbilt.edu

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-993

Initial CDAS Request Approval
Dec 8, 2022

Title
Machine Learning with Low Dose CT Data

Summary
We seek to develop method to integrate assessment of body habitus with lung cancer risk. We are developing both cross-sectional and longitudinal learning frameworks. We are targeting quantitative anatomical modeling (e.g., semantic segmentation), lung nodule identification / classification, and risk stratification. We are developing supporting image processing techniques to harmonize imaging and improve inter-site reproducibility.

Aims

* Segment anatomy within the chest CT field of view
* Identify potentially cancerous lung nodules
* Assess likelihood of cancer within specific nodules and a time point in a holistic manner.
* Perform image processing to improve inter-site consistency and enhance performance of the above objectives.

Collaborators

Fabien Maldonado, VUMC
Kim Lori Sandler, VUMC
Tom Lasko, VUMC

Related Publications

• Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels.
  Krishnan AR, Li TZ, Remedios LW, Kim ME, Gao C, Rudravaram G, McMaster EM, Saunders AM, Bao S, Xu K, Zuo L, Sandler KL, Maldonado F, Huo Y, Landman BA
  Med Phys. 2025 Nov; Volume 52 (Issue 11): Pages e70120 PUBMED
• Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks.
  Krishnan AR, Xu K, Li TZ, Remedios LW, Sandler KL, Maldonado F, Landman BA
  Med Phys. 2024 Mar 26 PUBMED
• Age-related Muscle Fat Infiltration in Lung Screening Participants: Impact of Smoking Cessation.
  Xu K, Li TZ, Terry JG, Krishnan AR, Deppen SA, Huo Y, Maldonado F, Carr JJ, Landman BA, Sandler KL
  medRxiv. 2023 Dec 5 PUBMED
• AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection.
  Xu K, Khan MS, Li TZ, Gao R, Terry JG, Huo Y, Lasko TA, Carr JJ, Maldonado F, Landman BA, Sandler KL
  Radiology. 2023 Jul; Volume 308 (Issue 1): Pages e222937 PUBMED
• Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation.
  Li TZ, Hin Lee H, Xu K, Gao R, Dawant BM, Maldonado F, Sandler KL, Landman BA
  J Med Imaging (Bellingham). 2023 Jul; Volume 10 (Issue 4): Pages 044002 PUBMED
• Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection.
  Gao R, Huo Y, Bao S, Tang Y, Antic SL, Epstein ES, Balar AB, Deppen S, Paulson AB, Sandler KL, Massion PP, Landman BA
  Mach Learn Med Imaging. 2019 Oct; Volume 11861: Pages 310-318 PUBMED