ArticlePhysics in medicine and biology2017
Techniques for virtual lung nodule insertion: volumetric and morphometric comparison of projection-based and image-based methods for quantitative CT.
Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Part-solid pulmonary nodule phantoms with realistic morphology and densities by stereolithography-based 3D-printing: from design to validation.European radiology experimental · 2025Article
- Quantification of Minimum Detectable Difference in Radiomics Features Across Lesions and CT Imaging Conditions.Academic radiology · 2021Article
- Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning.Tomography (Ann Arbor, Mich.) · 2021Article
- Deep-learning lesion and noise insertion for virtual clinical trial in Chest CT.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Computed Tomography- (CT-) Based Virtual Surgery Planning for Spinal Intervertebral Foraminal Assisted Clinical Treatment.Journal of healthcare engineering · 2021Article
- Evaluation of Simulated Lesions as Surrogates to Clinical Lesions for Thoracic CT Volumetry: The Results of an International Challenge.Academic radiology · 2019Article
- Interchangeability between real and three-dimensional simulated lung tumors in computed tomography: an interalgorithm volumetry study.Journal of medical imaging (Bellingham, Wash.) · 2018Article
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Authors and funding
8 authors.
Funding
Abstract
Virtual nodule insertion paves the way towards the development of standardized databases of hybrid CT images with known lesions. The purpose of this study was to assess three methods (an established and two newly developed techniques) for inserting virtual lung nodules into CT images. Assessment was done by comparing virtual nodule volume and shape to the CT-derived volume and shape of synthetic nodules. 24 synthetic nodules (three sizes, four morphologies, two repeats) were physically inserted into the lung cavity of an anthropomorphic chest phantom (KYOTO KAGAKU). The phantom was imaged with and without nodules on a commercial CT scanner (SOMATOM Definition Flash, Siemens) using a standard thoracic CT protocol at two dose levels (1.4 and 22 mGy CTDI
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