Thoracostomy

Hammer, Niels; Häske, David; Höch, Andreas; Babian, Carsten; Hoßfeld, Björn; Voigt, P.; Winkler, Dirk; Bernhard, Michaël

doi:10.1007/s10049-017-0315-5

Cited by 6 publications

(1 citation statement)

References 43 publications

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“…Pneumothorax compromising heart or lung function needs to be treated by thoracotomy. The minimum information required would be which side of the chest is affected [ 10 ]. Minor impedance shifts in the EIT reconstructions and thus the resulting localization of the pneumothorax have no direct influence on the placement of the drainage, as long as it detects the correct side of the chest.…”

Section: Introductionmentioning

confidence: 99%

Automated 3D thorax model generation using handheld video-footage

et al. 2022

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Purpose For the visualization of pulmonary ventilation with Electrical Impedance Tomography (EIT) most devices use standard reconstruction models, featuring common thorax dimensions and predetermined electrode locations. Any discrepancies between the available model and the patient in terms of body shape and electrode position lead to incorrectly displayed impedance distributions. This work addresses that problem by presenting and evaluating a method for 3D model generation of the thorax and any affixed electrodes based on handheld video-footage. Methods Therefore, a process was developed, providing users with the ability to capture a patient's chest and the attached electrodes via smartphone. Once data is collected, extracted images are used to generate a 3D model with a structure from motion approach and locate electrodes with ArUco markers. For the evaluation of the developed method, multiple tests were performed in laboratory environments, which were compared with manually created reference models and differences quantified based on mean distance, standard deviation, and maximum distance. Results The implemented workflow allows for automated model reconstruction based on videos or selected images captured with a handheld device. It generates sparse point clouds from which a surface mesh is reconstructed and returns relative coordinates of any identified ArUco marker. The average value for the mean distance error of two model generations was 5.4 mm while the mean standard deviation was 6.0 mm. The average runtime of twelve reconstructions was 5:17 min, with a minimal runtime of 3:22 min and a maximal runtime of 7:29 min. Conclusion The presented methods and results show that model reconstruction of a patient’s thorax and applied electrodes at an emergency site is feasible with already available devices. This is a first step toward the automated generation of patient-specific reconstruction models for Electrical Impedance Tomography based on images recorded with handheld devices.

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Section: Introductionmentioning

confidence: 99%

Automated 3D thorax model generation using handheld video-footage

et al. 2022

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Invasive Maßnahmen

Wittenberg

Wilhelm²

2023

Praxis Der Intensivmedizin

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Additive notärztliche Maßnahmen beim traumaassoziierten Herz-Kreislauf-Stillstand

et al. 2017

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The percentage of patients who might benefit from additive treatment implemented in tCPR efforts was shown to be equal between the local situations in Leipzig and Chemnitz compared to previous reports in Berlin. A need for optimizing the professional resuscitation process still remains as not all reversible causes were appropriately addressed. Further training and education should intensively address the mentioned deficits and continuous awareness of necessary additional medical procedures in the preclinical setting in cases of traumatic cardiac arrest is inevitable. Cooperation with forensic institutes can help to impart particular issues and treatment options of emergency medicine in cases of potentially reversible causes of traumatic cardiac arrest.

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Thoracostomy

Cited by 6 publications

References 43 publications

Automated 3D thorax model generation using handheld video-footage

Automated 3D thorax model generation using handheld video-footage

Invasive Maßnahmen

Additive notärztliche Maßnahmen beim traumaassoziierten Herz-Kreislauf-Stillstand

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