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SenTec Inc eit software bb vet sw
Tomographic images of the coelom at the level of the <t>EIT</t> belt, in various formats. The images are in sequential order from left to right, (A–E) detailing the process of generating a chicken-specific functional EIT image. All images are aligned in the same orientation as labeled in (A) . (A) Computed tomographic (CT) image of the coelom at the level of the EIT belt. (B) Segmentation of the regions of interest (ROI), including the cardiac silhouette, air sacs, lungs, tracheal bifurcation and the body contour, using <t>the</t> <t>software</t> ITK-SNAP. Each of the segmented structures are shaded with its respective colour as indicated in the legend. (C) Model of the coelom using the mean contours of the segmentations from the CT images. The blue outlines the cardiac silhouette, the red outlines the right lung, and the green outlines the left lung. (D) The chicken-specific finite element (FE) model, created using the software Matlab. The red area represents the cardiac silhouette, and the blue represents the lungs. (E) Functional EIT image, after application of the FE model on the raw EIT data, during inspiration in one chicken. The blue represents impedance change, the gray outlines the outer contour, and the white outlines the lungs ROI. No impedance change was noted within the lungs ROI. Impedance signals were noted in the area of the air sacs and cardiac silhouette.
Eit Software Bb Vet Sw, supplied by SenTec Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/eit+software/ibex+software+package/pmc10965772-124-24-29
Average 90 stars, based on 1 article reviews
eit software bb vet sw - by Bioz Stars, 2026-11
90/100 stars

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1) Product Images from "Electrical impedance tomography in anaesthetised chickens ( Gallus domesticus )"

Article Title: Electrical impedance tomography in anaesthetised chickens ( Gallus domesticus )

Journal: Frontiers in Veterinary Science

doi: 10.3389/fvets.2024.1202931

Tomographic images of the coelom at the level of the EIT belt, in various formats. The images are in sequential order from left to right, (A–E) detailing the process of generating a chicken-specific functional EIT image. All images are aligned in the same orientation as labeled in (A) . (A) Computed tomographic (CT) image of the coelom at the level of the EIT belt. (B) Segmentation of the regions of interest (ROI), including the cardiac silhouette, air sacs, lungs, tracheal bifurcation and the body contour, using the software ITK-SNAP. Each of the segmented structures are shaded with its respective colour as indicated in the legend. (C) Model of the coelom using the mean contours of the segmentations from the CT images. The blue outlines the cardiac silhouette, the red outlines the right lung, and the green outlines the left lung. (D) The chicken-specific finite element (FE) model, created using the software Matlab. The red area represents the cardiac silhouette, and the blue represents the lungs. (E) Functional EIT image, after application of the FE model on the raw EIT data, during inspiration in one chicken. The blue represents impedance change, the gray outlines the outer contour, and the white outlines the lungs ROI. No impedance change was noted within the lungs ROI. Impedance signals were noted in the area of the air sacs and cardiac silhouette.
Figure Legend Snippet: Tomographic images of the coelom at the level of the EIT belt, in various formats. The images are in sequential order from left to right, (A–E) detailing the process of generating a chicken-specific functional EIT image. All images are aligned in the same orientation as labeled in (A) . (A) Computed tomographic (CT) image of the coelom at the level of the EIT belt. (B) Segmentation of the regions of interest (ROI), including the cardiac silhouette, air sacs, lungs, tracheal bifurcation and the body contour, using the software ITK-SNAP. Each of the segmented structures are shaded with its respective colour as indicated in the legend. (C) Model of the coelom using the mean contours of the segmentations from the CT images. The blue outlines the cardiac silhouette, the red outlines the right lung, and the green outlines the left lung. (D) The chicken-specific finite element (FE) model, created using the software Matlab. The red area represents the cardiac silhouette, and the blue represents the lungs. (E) Functional EIT image, after application of the FE model on the raw EIT data, during inspiration in one chicken. The blue represents impedance change, the gray outlines the outer contour, and the white outlines the lungs ROI. No impedance change was noted within the lungs ROI. Impedance signals were noted in the area of the air sacs and cardiac silhouette.

Techniques Used: Functional Assay, Labeling, Software

Related Articles

Software:

Article Title: Electrical impedance tomography in anaesthetised chickens ( Gallus domesticus )
Article Snippet: .. The chickens remained in each recumbency position for 15 min: 13 min of stabilisation followed by 2 min of EIT data recording using the EIT software (BB Vet SW, SenTec, Switzerland). ..

Article Title: Electrical impedance tomography in anaesthetised chickens ( Gallus domesticus )
Article Snippet: .. Analyses of the EIT data were performed using an EIT analytical software (Ibex, Sentec AG, EIT branch, Switzerland). ..

Article Title: What hinders pulmonary gas exchange and changes distribution of ventilation in immobilized white rhinoceroses ( Ceratotherium simum ) in lateral recumbency?
Article Snippet: 1 What hinders pulmonary gas exchange and changes distribution of ventilation in 1 immobilized white rhinoceroses (Ceratotherium simum) in lateral recumbency?. 2 3 Martina Mosing 1, Andreas D. Waldmann2, Muriel Sacks1, Peter Buss3, Jordyn M. Boesch7, 4 Gareth E. Zeiler4, 5, Giselle Hosgood1, Robin D. Gleed7, Michele Miller6, Leith CR.. Meyer5, 5 Stephan H. Böhm2 6 7 1 School of Veterinary Medicine, College of Science, Health, Engineering and Education, 8 Murdoch University, Perth, Australia 9 2 Department of Anesthesiology and Intensive Care Medicine, Rostock University Medical 10 Center, Germany 11 3Veterinary Wildlife Services, South African National Parks, Kruger National Park, Skukuza, 12 South Africa 13 4 Department of Companion Animal Clinical Studies, Faculty of Veterinary Science, 14 University of Pretoria, Onderstepoort, South Africa 15 5Centre for Veterinary Wildlife Studies and Department of Paraclinical Studies, Faculty of 16 Veterinary Science, University of Pretoria, Onderstepoort, South Africa 17 6 Department of Science and Technology-National Research Foundation Centre of Excellence 18 for Biomedical TB Research, South African Medical Research Council Centre for 19 Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of 20 Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa 21 Downloaded from journals.physiology.org/journal/jappl at University of Brighton (194.081.203.094) on October 22, 2020.

Article Title: Effect of sternal electrode gap and belt rotation on the robustness of pulmonary electrical impedance tomography parameters.
Article Snippet: .. Clinical data analysis and processing were performed offline using the SenTec ibeX EIT analysis software package. ..

Article Title: Use of Electrical Impedance Tomography (EIT) to Estimate Tidal Volume in Anaesthetized Horses Undergoing Elective Surgery
Article Snippet: .. The belt was then connected to the EIT device and data recorded using a dedicated software package (BBVet, SenTec, Landquart, Switzerland). .. The accuracy of the used human spirometer (NICO, Respironics Inc. Murrysville, Pennsylvania, PA, USA) was verified with a calibration syringe.

Article Title: Effects of PEEP on the relationship between tidal volume and total impedance change measured via electrical impedance tomography (EIT)
Article Snippet: .. The electrode skin contact was inspected visually via the EIT software (BBVet, Sentec, Switzerland) before commencement of the study. ..

other:

Article Title: Electrical impedance tomography confirmed the impact of the method of delivery of term neonates on early lung aeration.
Article Snippet: Data analysis was conducted using Ibex 1.4 software (https://www.sentec.com/fileadmin/documents/_EIT_ documents/ibeX_Product_Information.pdf).

Article Title: Comparison of Effects of an Endotracheal Tube or Facemask on Breathing Pattern and Distribution of Ventilation in Anesthetized Horses
Article Snippet: EIT data for each 2-min recording was analyzed using a dedicated EIT software (Ibex, Sentec AG, EIT branch, Landquart, Switzerland).



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Tomographic images of the coelom at the level of the <t>EIT</t> belt, in various formats. The images are in sequential order from left to right, (A–E) detailing the process of generating a chicken-specific functional EIT image. All images are aligned in the same orientation as labeled in (A) . (A) Computed tomographic (CT) image of the coelom at the level of the EIT belt. (B) Segmentation of the regions of interest (ROI), including the cardiac silhouette, air sacs, lungs, tracheal bifurcation and the body contour, using <t>the</t> <t>software</t> ITK-SNAP. Each of the segmented structures are shaded with its respective colour as indicated in the legend. (C) Model of the coelom using the mean contours of the segmentations from the CT images. The blue outlines the cardiac silhouette, the red outlines the right lung, and the green outlines the left lung. (D) The chicken-specific finite element (FE) model, created using the software Matlab. The red area represents the cardiac silhouette, and the blue represents the lungs. (E) Functional EIT image, after application of the FE model on the raw EIT data, during inspiration in one chicken. The blue represents impedance change, the gray outlines the outer contour, and the white outlines the lungs ROI. No impedance change was noted within the lungs ROI. Impedance signals were noted in the area of the air sacs and cardiac silhouette.
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Image Search Results


Tomographic images of the coelom at the level of the EIT belt, in various formats. The images are in sequential order from left to right, (A–E) detailing the process of generating a chicken-specific functional EIT image. All images are aligned in the same orientation as labeled in (A) . (A) Computed tomographic (CT) image of the coelom at the level of the EIT belt. (B) Segmentation of the regions of interest (ROI), including the cardiac silhouette, air sacs, lungs, tracheal bifurcation and the body contour, using the software ITK-SNAP. Each of the segmented structures are shaded with its respective colour as indicated in the legend. (C) Model of the coelom using the mean contours of the segmentations from the CT images. The blue outlines the cardiac silhouette, the red outlines the right lung, and the green outlines the left lung. (D) The chicken-specific finite element (FE) model, created using the software Matlab. The red area represents the cardiac silhouette, and the blue represents the lungs. (E) Functional EIT image, after application of the FE model on the raw EIT data, during inspiration in one chicken. The blue represents impedance change, the gray outlines the outer contour, and the white outlines the lungs ROI. No impedance change was noted within the lungs ROI. Impedance signals were noted in the area of the air sacs and cardiac silhouette.

Journal: Frontiers in Veterinary Science

Article Title: Electrical impedance tomography in anaesthetised chickens ( Gallus domesticus )

doi: 10.3389/fvets.2024.1202931

Figure Lengend Snippet: Tomographic images of the coelom at the level of the EIT belt, in various formats. The images are in sequential order from left to right, (A–E) detailing the process of generating a chicken-specific functional EIT image. All images are aligned in the same orientation as labeled in (A) . (A) Computed tomographic (CT) image of the coelom at the level of the EIT belt. (B) Segmentation of the regions of interest (ROI), including the cardiac silhouette, air sacs, lungs, tracheal bifurcation and the body contour, using the software ITK-SNAP. Each of the segmented structures are shaded with its respective colour as indicated in the legend. (C) Model of the coelom using the mean contours of the segmentations from the CT images. The blue outlines the cardiac silhouette, the red outlines the right lung, and the green outlines the left lung. (D) The chicken-specific finite element (FE) model, created using the software Matlab. The red area represents the cardiac silhouette, and the blue represents the lungs. (E) Functional EIT image, after application of the FE model on the raw EIT data, during inspiration in one chicken. The blue represents impedance change, the gray outlines the outer contour, and the white outlines the lungs ROI. No impedance change was noted within the lungs ROI. Impedance signals were noted in the area of the air sacs and cardiac silhouette.

Article Snippet: The chickens remained in each recumbency position for 15 min: 13 min of stabilisation followed by 2 min of EIT data recording using the EIT software (BB Vet SW, SenTec, Switzerland).

Techniques: Functional Assay, Labeling, Software

Tomographic images of the coelom at the level of the EIT belt, in various formats. The images are in sequential order from left to right, (A–E) detailing the process of generating a chicken-specific functional EIT image. All images are aligned in the same orientation as labeled in (A) . (A) Computed tomographic (CT) image of the coelom at the level of the EIT belt. (B) Segmentation of the regions of interest (ROI), including the cardiac silhouette, air sacs, lungs, tracheal bifurcation and the body contour, using the software ITK-SNAP. Each of the segmented structures are shaded with its respective colour as indicated in the legend. (C) Model of the coelom using the mean contours of the segmentations from the CT images. The blue outlines the cardiac silhouette, the red outlines the right lung, and the green outlines the left lung. (D) The chicken-specific finite element (FE) model, created using the software Matlab. The red area represents the cardiac silhouette, and the blue represents the lungs. (E) Functional EIT image, after application of the FE model on the raw EIT data, during inspiration in one chicken. The blue represents impedance change, the gray outlines the outer contour, and the white outlines the lungs ROI. No impedance change was noted within the lungs ROI. Impedance signals were noted in the area of the air sacs and cardiac silhouette.

Journal: Frontiers in Veterinary Science

Article Title: Electrical impedance tomography in anaesthetised chickens ( Gallus domesticus )

doi: 10.3389/fvets.2024.1202931

Figure Lengend Snippet: Tomographic images of the coelom at the level of the EIT belt, in various formats. The images are in sequential order from left to right, (A–E) detailing the process of generating a chicken-specific functional EIT image. All images are aligned in the same orientation as labeled in (A) . (A) Computed tomographic (CT) image of the coelom at the level of the EIT belt. (B) Segmentation of the regions of interest (ROI), including the cardiac silhouette, air sacs, lungs, tracheal bifurcation and the body contour, using the software ITK-SNAP. Each of the segmented structures are shaded with its respective colour as indicated in the legend. (C) Model of the coelom using the mean contours of the segmentations from the CT images. The blue outlines the cardiac silhouette, the red outlines the right lung, and the green outlines the left lung. (D) The chicken-specific finite element (FE) model, created using the software Matlab. The red area represents the cardiac silhouette, and the blue represents the lungs. (E) Functional EIT image, after application of the FE model on the raw EIT data, during inspiration in one chicken. The blue represents impedance change, the gray outlines the outer contour, and the white outlines the lungs ROI. No impedance change was noted within the lungs ROI. Impedance signals were noted in the area of the air sacs and cardiac silhouette.

Article Snippet: Analyses of the EIT data were performed using an EIT analytical software (Ibex, Sentec AG, EIT branch, Switzerland).

Techniques: Functional Assay, Labeling, Software