Journal article
An open-source framework for pulmonary fissure completeness assessment
Computerized medical imaging and graphics, Vol.83, pp.101712-8
07/2020
DOI: 10.1016/j.compmedimag.2020.101712
PMCID: PMC7363554
PMID: 32115275
Abstract
•Fissure incompleteness has been shown to associate with emphysema treatment outcomes.•Methods for pulmonary fissure detection and lung lobe segmentation continue to be developed.•We present and open-source software framework for fissure completeness assessment.
We present an open-source framework for pulmonary fissure completeness assessment. Fissure incompleteness has been shown to associate with emphysema treatment outcomes, motivating the development of tools that facilitate completeness estimation. Generally, the task of fissure completeness assessment requires accurate detection of fissures and definition of the boundary surfaces separating the lung lobes. The framework we describe acknowledges a) the modular nature of fissure detection and lung lobe segmentation (lobe boundary detection), and b) that methods to address these challenges are varied and continually developing. It is designed to be readily deployable on existing lung lobe segmentation and fissure detection data sets. The framework consists of multiple components: a flexible quality control module that enables rapid assessment of lung lobe segmentations, an interactive lobe segmentation tool exposed through 3D Slicer for handling challenging cases, a flexible fissure representation using particles-based sampling that can handle fissure feature-strength or binary fissure detection images, and a module that performs fissure completeness estimation using voxel counting and a novel surface area estimation approach. We demonstrate the usage of the proposed framework by deploying on 100 cases exhibiting various levels of fissure completeness. We compare the two completeness level approaches and also compare to visual reads. The code is available to the community via github as part of the Chest Imaging Platform and a 3D Slicer extension module.
Details
- Title: Subtitle
- An open-source framework for pulmonary fissure completeness assessment
- Creators
- James C. Ross - Brigham and Women's HospitalPietro Nardelli - Brigham and Women's HospitalJorge Onieva - Technical University of MadridSarah E. Gerard - Brigham and Women's HospitalRola Harmouche - Brigham and Women's HospitalYuka Okajima - Brigham and Women's HospitalAlejandro A. Diaz - Brigham and Women's HospitalGeorge Washko - Brigham and Women's HospitalRaúl San José Estépar - Brigham and Women's Hospital
- Resource Type
- Journal article
- Publication Details
- Computerized medical imaging and graphics, Vol.83, pp.101712-8
- DOI
- 10.1016/j.compmedimag.2020.101712
- PMID
- 32115275
- PMCID
- PMC7363554
- NLM abbreviation
- Comput Med Imaging Graph
- ISSN
- 0895-6111
- eISSN
- 1879-0771
- Publisher
- Elsevier Ltd
- Grant note
- DOI: 10.13039/501100012264, name: NIH, award: 5K25HL130637-04
- Language
- English
- Date published
- 07/2020
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984306834402771
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