An open-source, automated machine learning approach for large-scale image retrieval for thoracic aorta analysis studies.

ABSTRACT:

Objective

To develop an image retrieval pipeline capable of identifying specific series of thoracic aortic computed tomography (CT) scans from a diverse database.

Materials and methods

An automated image analysis pipeline was developed to select series that show the entire thoracic aorta with arterial phase contrast from within a heterogeneous institutional cohort of 4184 CT scans of the chest.

Results

The automated pipeline identified 3435 (82%) studies from within the database that met criteria. Manual review confirmed 99.1% of the selected scans were accurately selected, and 93.6% of excluded scans were appropriately excluded.

Discussion and conclusion

We present an open-source, image-retrieval pipeline that, with a high degree of accuracy, can identify aort

SUBMITTER: Ayers BC 

PROVIDER: S-EPMC12257624 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature