Computer-assisted image-based risk analysis and planning in lung surgery - a review

Stefan Krass; Bianca Lassen-Schmidt; Andrea Schenk

doi:10.3389/fsurg.2022.920457

Computer-assisted image-based risk analysis and planning in lung surgery - a review

Front Surg. 2022 Sep 22:9:920457. doi: 10.3389/fsurg.2022.920457. eCollection 2022.

Authors

Stefan Krass¹, Bianca Lassen-Schmidt¹, Andrea Schenk^{1

2}

Affiliations

¹ Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.
² Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.

Abstract

In this paper, we give an overview on current trends in computer-assisted image-based methods for risk analysis and planning in lung surgery and present our own developments with a focus on computed tomography (CT) based algorithms and applications. The methods combine heuristic, knowledge based image processing algorithms for segmentation, quantification and visualization based on CT images of the lung. Impact for lung surgery is discussed regarding risk assessment, quantitative assessment of resection strategies, and surgical guiding. In perspective, we discuss the role of deep-learning based AI methods for further improvements.

Keywords: image processing; lung cancer; lung surgery; quantification; risk analysis; surgical planning.

Publication types

Review