Feasibility of airway segmentation from three-dimensional rotational angiography

Góreczny, Sebastian; Haak, Alexander; Morgan, Gareth J.; Zablah, Jenny E.

doi:10.5603/cj.a2020.0136

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…It allows the reconstructed 3DRA or a computed tomography "like" view (multiplanar view); to be overlaid on live fluoroscopy. 4. Using the "Segmentation" tool in the XtraVision workstation, we routinely segment airway anatomy, described in a prior publication [4].…”

Section: The Contrast Injection Is Given Over 5 S Starting 1 S Before the C-arm Rotation Begins (1 S Delay)mentioning

confidence: 99%

“…4. Using the "Segmentation" tool in the XtraVision workstation, we routinely segment airway anatomy, described in a prior publication [4]. This can be viewed along with the 3DRA vascular reconstruction and also overlaid onto live fluoroscopy using XperGuide.…”

Section: The Contrast Injection Is Given Over 5 S Starting 1 S Before the C-arm Rotation Begins (1 S Delay)mentioning

confidence: 99%

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How to obtain diagnostic and procedural quality three-dimensional-rotational angiograms in congenital heart disease: Tips and tricks from a single center experience

et al. 2021

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Section: The Contrast Injection Is Given Over 5 S Starting 1 S Before the C-arm Rotation Begins (1 S Delay)mentioning

confidence: 99%

Section: The Contrast Injection Is Given Over 5 S Starting 1 S Before the C-arm Rotation Begins (1 S Delay)mentioning

confidence: 99%

How to obtain diagnostic and procedural quality three-dimensional-rotational angiograms in congenital heart disease: Tips and tricks from a single center experience

et al. 2021

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“…However, quantitative analysis of bronchial and vascular blood flow is still limited by HRCT imaging resolution. Furthermore, it is challenging to automatically, semi-automatically, or manually segment small trachea (such as small airways) and blood vessels from chest HRCT images ( 13 – 15 ). In essence, COPD results from the characteristic pathological changes of the lung region, including the peripheral airway, parenchyma, and vessels.…”

Section: Introductionmentioning

confidence: 99%

Multi-modal data combination strategy based on chest HRCT images and PFT parameters for intelligent dyspnea identification in COPD

Yang

Chen

et al. 2022

Front. Med.

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IntroductionBecause of persistent airflow limitation in chronic obstructive pulmonary disease (COPD), patients with COPD often have complications of dyspnea. However, as a leading symptom of COPD, dyspnea in COPD deserves special consideration regarding treatment in this fragile population for pre-clinical health management in COPD. Methods: Based on the above, this paper proposes a multi-modal data combination strategy by combining the local and global features for dyspnea identification in COPD based on the multi-layer perceptron (MLP) classifier.MethodsFirst, lung region images are automatically segmented from chest HRCT images for extracting the original 1,316 lung radiomics (OLR, 1,316) and 13,824 3D CNN features (O3C, 13,824). Second, the local features, including five selected pulmonary function test (PFT) parameters (SLF, 5), 28 selected lung radiomics (SLR, 28), and 22 selected 3D CNN features (S3C, 22), are respectively selected from the original 11 PFT parameters (OLF, 11), 1,316 OLR, and 13,824 O3C by the least absolute shrinkage and selection operator (Lasso) algorithm. Meantime, the global features, including two fused PFT parameters (FLF, 2), six fused lung radiomics (FLR, 6), and 34 fused 3D CNN features (F3C, 34), are respectively fused by 11 OLF, 1,316 OLR, and 13,824 O3C using the principal component analysis (PCA) algorithm. Finally, we combine all the local and global features (SLF + FLF + SLR + FLR + S3C + F3C, 5+ 2 + 28 + 6 + 22 + 34) for dyspnea identification in COPD based on the MLP classifier.ResultsOur proposed method comprehensively improves classification performance. The MLP classifier with all the local and global features achieves the best classification performance at 87.7% of accuracy, 87.7% of precision, 87.7% of recall, 87.7% of F1-scorel, and 89.3% of AUC, respectively.DiscussionCompared with single-modal data, the proposed strategy effectively improves the classification performance for dyspnea identification in COPD, providing an objective and effective tool for COPD management.

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Advanced imaging techniques to assist transcatheter congenital heart defects therapies

Bruckheimer¹,

Góreczny²

2021

Progress in Pediatric Cardiology

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Feasibility of airway segmentation from three-dimensional rotational angiography

Cited by 3 publications

References 10 publications

How to obtain diagnostic and procedural quality three-dimensional-rotational angiograms in congenital heart disease: Tips and tricks from a single center experience

How to obtain diagnostic and procedural quality three-dimensional-rotational angiograms in congenital heart disease: Tips and tricks from a single center experience

Multi-modal data combination strategy based on chest HRCT images and PFT parameters for intelligent dyspnea identification in COPD

Advanced imaging techniques to assist transcatheter congenital heart defects therapies

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