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Showing 13 to 24 of 146 entries
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Comprehensive strategies to minimize radiation exposure during Interventional electrophysiology procedures: state-of-the-art review.

Expert review of medical devices

Desai M, Kahaly O, Aslam A, Saifa-Bonsu J, Usmani M, Okabe T, Afzal MR, Houmsse M.
PMID: 32885677
Expert Rev Med Devices. 2020 Nov;17(11):1183-1192. doi: 10.1080/17434440.2020.1819789. Epub 2020 Dec 27.

INTRODUCTION: Cardiac electrophysiology (EP) procedures are frequently performed in patients with cardiac arrhythmias, chronic heart failure, and sudden cardiac death. Most EP procedures involve fluoroscopy, which results in radiation exposure to physicians, patients, and EP lab staff. Accumulated radiation...

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Desai M, Kahaly O, Aslam A, et al. Comprehensive strategies to minimize radiation exposure during Interventional electrophysiology procedures: state-of-the-art review. Expert Rev Med Devices. 2020;17(11):1183-1192doi: 10.1080/17434440.2020.1819789.
Desai, M., Kahaly, O., Aslam, A., Saifa-Bonsu, J., Usmani, M., Okabe, T., Afzal, M. R., & Houmsse, M. (2020). Comprehensive strategies to minimize radiation exposure during Interventional electrophysiology procedures: state-of-the-art review. Expert review of medical devices, 17(11), 1183-1192. https://doi.org/10.1080/17434440.2020.1819789
Desai, Miraj, et al. "Comprehensive strategies to minimize radiation exposure during Interventional electrophysiology procedures: state-of-the-art review." Expert review of medical devices vol. 17,11 (2020): 1183-1192. doi: https://doi.org/10.1080/17434440.2020.1819789
Desai M, Kahaly O, Aslam A, Saifa-Bonsu J, Usmani M, Okabe T, Afzal MR, Houmsse M. Comprehensive strategies to minimize radiation exposure during Interventional electrophysiology procedures: state-of-the-art review. Expert Rev Med Devices. 2020 Nov;17(11):1183-1192. doi: 10.1080/17434440.2020.1819789. Epub 2020 Dec 27. PMID: 32885677.
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Models Genesis.

Medical image analysis

Zhou Z, Sodha V, Pang J, Gotway MB, Liang J.
PMID: 33188996
Med Image Anal. 2021 Jan;67:101840. doi: 10.1016/j.media.2020.101840. Epub 2020 Oct 13.

Transfer learning from natural image to medical image has been established as one of the most practical paradigms in deep learning for medical image analysis. To fit this paradigm, however, 3D imaging tasks in the most prominent imaging modalities...

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Zhou Z, Sodha V, Pang J, et al. Models Genesis. Med Image Anal. 2020;67:101840doi: 10.1016/j.media.2020.101840.
Zhou, Z., Sodha, V., Pang, J., Gotway, M. B., & Liang, J. (2021). Models Genesis. Medical image analysis, 67101840. https://doi.org/10.1016/j.media.2020.101840
Zhou, Zongwei, et al. "Models Genesis." Medical image analysis vol. 67 (2021): 101840. doi: https://doi.org/10.1016/j.media.2020.101840
Zhou Z, Sodha V, Pang J, Gotway MB, Liang J. Models Genesis. Med Image Anal. 2021 Jan;67:101840. doi: 10.1016/j.media.2020.101840. Epub 2020 Oct 13. PMID: 33188996; PMCID: PMC7726094.
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The crucial role of imaging in digital dentistry.

Dental materials : official publication of the Academy of Dental Materials

Vandenberghe B.
PMID: 32299666
Dent Mater. 2020 May;36(5):581-591. doi: 10.1016/j.dental.2020.03.001. Epub 2020 Apr 13.

One of the recent trends in dentistry - and this in every field from the restorative to the orthodontic one- is the introduction of simplified completely digital workflows. Digital dentistry is supposed to allow dentists to work more efficiently,...

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Vandenberghe B. The crucial role of imaging in digital dentistry. Dent Mater. 2020;36(5):581-591doi: 10.1016/j.dental.2020.03.001.
Vandenberghe, B. (2020). The crucial role of imaging in digital dentistry. Dental materials : official publication of the Academy of Dental Materials, 36(5), 581-591. https://doi.org/10.1016/j.dental.2020.03.001
Vandenberghe, Bart. "The crucial role of imaging in digital dentistry." Dental materials : official publication of the Academy of Dental Materials vol. 36,5 (2020): 581-591. doi: https://doi.org/10.1016/j.dental.2020.03.001
Vandenberghe B. The crucial role of imaging in digital dentistry. Dent Mater. 2020 May;36(5):581-591. doi: 10.1016/j.dental.2020.03.001. Epub 2020 Apr 13. PMID: 32299666.
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Digital 3-Dimensional Virtual Models in Colorectal Cancer and Its Application in Surgical Practice.

Surgical innovation

Pérez-Serrano N, Fernando Trebolle J, Sánchez Margallo FM, Blanco Ramos JR, García Tejero A, Aguas Blasco S.
PMID: 31854228
Surg Innov. 2020 Apr;27(2):246-247. doi: 10.1177/1553350619890733. Epub 2019 Dec 19.

No abstract available.

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Pérez-Serrano N, Fernando Trebolle J, Sánchez Margallo FM, et al. Digital 3-Dimensional Virtual Models in Colorectal Cancer and Its Application in Surgical Practice. Surg Innov. 2019;27(2):246-247doi: 10.1177/1553350619890733.
Pérez-Serrano, N., Fernando Trebolle, J., Sánchez Margallo, F. M., Blanco Ramos, J. R., García Tejero, A., & Aguas Blasco, S. (2020). Digital 3-Dimensional Virtual Models in Colorectal Cancer and Its Application in Surgical Practice. Surgical innovation, 27(2), 246-247. https://doi.org/10.1177/1553350619890733
Pérez-Serrano, Natalia, et al. "Digital 3-Dimensional Virtual Models in Colorectal Cancer and Its Application in Surgical Practice." Surgical innovation vol. 27,2 (2020): 246-247. doi: https://doi.org/10.1177/1553350619890733
Pérez-Serrano N, Fernando Trebolle J, Sánchez Margallo FM, Blanco Ramos JR, García Tejero A, Aguas Blasco S. Digital 3-Dimensional Virtual Models in Colorectal Cancer and Its Application in Surgical Practice. Surg Innov. 2020 Apr;27(2):246-247. doi: 10.1177/1553350619890733. Epub 2019 Dec 19. PMID: 31854228.
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High-resolution in vivo MR imaging of intraspinal cervical nerve rootlets at 3 and 7 Tesla.

European radiology

Galley J, Sutter R, Germann C, Wanivenhaus F, Nanz D.
PMID: 33409779
Eur Radiol. 2021 Jul;31(7):4625-4633. doi: 10.1007/s00330-020-07557-3. Epub 2021 Jan 06.

OBJECTIVES: No routine imaging technology allows reliable visualization of nerve rootlets inside the spinal canal with positive contrast. The stronger MR signal at 7 T, with optimized protocols, may offer a solution. The purpose was to evaluate the potential...

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Galley J, Sutter R, Germann C, et al. High-resolution in vivo MR imaging of intraspinal cervical nerve rootlets at 3 and 7 Tesla. Eur Radiol. 2021;31(7):4625-4633doi: 10.1007/s00330-020-07557-3.
Galley, J., Sutter, R., Germann, C., Wanivenhaus, F., & Nanz, D. (2021). High-resolution in vivo MR imaging of intraspinal cervical nerve rootlets at 3 and 7 Tesla. European radiology, 31(7), 4625-4633. https://doi.org/10.1007/s00330-020-07557-3
Galley, Julien, et al. "High-resolution in vivo MR imaging of intraspinal cervical nerve rootlets at 3 and 7 Tesla." European radiology vol. 31,7 (2021): 4625-4633. doi: https://doi.org/10.1007/s00330-020-07557-3
Galley J, Sutter R, Germann C, Wanivenhaus F, Nanz D. High-resolution in vivo MR imaging of intraspinal cervical nerve rootlets at 3 and 7 Tesla. Eur Radiol. 2021 Jul;31(7):4625-4633. doi: 10.1007/s00330-020-07557-3. Epub 2021 Jan 06. PMID: 33409779.
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Optimal Display Positions for Heads-Up Surgery to Minimize Crosstalk.

Translational vision science & technology

Tsuboi K, Shiraki Y, Ishida Y, Shibata T, Kamei M.
PMID: 33364082
Transl Vis Sci Technol. 2020 Dec 17;9(13):28. doi: 10.1167/tvst.9.13.28. eCollection 2020 Dec.

PURPOSE: To determine optimal display positions during heads-up surgery (HUS) to minimize crosstalk.METHODS: Three three-dimensional (3D) displays were analyzed to evaluate the relationship between display position and amount of crosstalk. First, the 3D displays were calibrated to show a...

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Tsuboi K, Shiraki Y, Ishida Y, et al. Optimal Display Positions for Heads-Up Surgery to Minimize Crosstalk. Transl Vis Sci Technol. 2020;9(13):28doi: 10.1167/tvst.9.13.28.
Tsuboi, K., Shiraki, Y., Ishida, Y., Shibata, T., & Kamei, M. (2020). Optimal Display Positions for Heads-Up Surgery to Minimize Crosstalk. Translational vision science & technology, 9(13), 28. https://doi.org/10.1167/tvst.9.13.28
Tsuboi, Kotaro, et al. "Optimal Display Positions for Heads-Up Surgery to Minimize Crosstalk." Translational vision science & technology vol. 9,13 (2020): 28. doi: https://doi.org/10.1167/tvst.9.13.28
Tsuboi K, Shiraki Y, Ishida Y, Shibata T, Kamei M. Optimal Display Positions for Heads-Up Surgery to Minimize Crosstalk. Transl Vis Sci Technol. 2020 Dec 17;9(13):28. doi: 10.1167/tvst.9.13.28. eCollection 2020 Dec. PMID: 33364082; PMCID: PMC7746959.
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Asymmetry in deformation.

Nature materials

Chrzan DC.
PMID: 34561629
Nat Mater. 2021 Oct;20(10):1305-1306. doi: 10.1038/s41563-021-01107-y.

No abstract available.

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Chrzan DC. Asymmetry in deformation. Nat Mater. 2021;20(10):1305-1306doi: 10.1038/s41563-021-01107-y.
Chrzan, D. C. (2021). Asymmetry in deformation. Nature materials, 20(10), 1305-1306. https://doi.org/10.1038/s41563-021-01107-y
Chrzan, D C. "Asymmetry in deformation." Nature materials vol. 20,10 (2021): 1305-1306. doi: https://doi.org/10.1038/s41563-021-01107-y
Chrzan DC. Asymmetry in deformation. Nat Mater. 2021 Oct;20(10):1305-1306. doi: 10.1038/s41563-021-01107-y. PMID: 34561629.
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BIM in People2People and Things2People Interactive Process.

Sensors (Basel, Switzerland)

Mataloto B, Ferreira JC, Resende R, Moura R, Luís S.
PMID: 32456364
Sensors (Basel). 2020 May 24;20(10). doi: 10.3390/s20102982.

In this research work, we present an IoT solution to environment variables using a LoRa transmission technology to give real-time information to users in a

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Mataloto B, Ferreira JC, Resende R, et al. BIM in People2People and Things2People Interactive Process. Sensors (Basel). 2020;20(10)doi: 10.3390/s20102982.
Mataloto, B., Ferreira, J. C., Resende, R., Moura, R., & Luís, S. (2020). BIM in People2People and Things2People Interactive Process. Sensors (Basel, Switzerland), 20(10), . https://doi.org/10.3390/s20102982
Mataloto, Bruno, et al. "BIM in People2People and Things2People Interactive Process." Sensors (Basel, Switzerland) vol. 20,10 (2020). doi: https://doi.org/10.3390/s20102982
Mataloto B, Ferreira JC, Resende R, Moura R, Luís S. BIM in People2People and Things2People Interactive Process. Sensors (Basel). 2020 May 24;20(10). doi: 10.3390/s20102982. PMID: 32456364; PMCID: PMC7287921.
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Fast-track virtual reality for cardiac imaging in congenital heart disease.

Journal of cardiac surgery

Raimondi F, Vida V, Godard C, Bertelli F, Reffo E, Boddaert N, El Beheiry M, Masson JB.
PMID: 33760302
J Card Surg. 2021 Jul;36(7):2598-2602. doi: 10.1111/jocs.15508. Epub 2021 Mar 24.

BACKGROUND AND AIM OF THE STUDY: We sought to evaluate the appropriateness of cardiac anatomy renderings by a new virtual reality (VR) technology, entitled DIVA, directly applicable to raw magnetic resonance imaging (MRI) data without intermediate segmentation steps in...

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Raimondi F, Vida V, Godard C, et al. Fast-track virtual reality for cardiac imaging in congenital heart disease. J Card Surg. 2021;36(7):2598-2602doi: 10.1111/jocs.15508.
Raimondi, F., Vida, V., Godard, C., Bertelli, F., Reffo, E., Boddaert, N., El Beheiry, M., & Masson, J. B. (2021). Fast-track virtual reality for cardiac imaging in congenital heart disease. Journal of cardiac surgery, 36(7), 2598-2602. https://doi.org/10.1111/jocs.15508
Raimondi, Francesca, et al. "Fast-track virtual reality for cardiac imaging in congenital heart disease." Journal of cardiac surgery vol. 36,7 (2021): 2598-2602. doi: https://doi.org/10.1111/jocs.15508
Raimondi F, Vida V, Godard C, Bertelli F, Reffo E, Boddaert N, El Beheiry M, Masson JB. Fast-track virtual reality for cardiac imaging in congenital heart disease. J Card Surg. 2021 Jul;36(7):2598-2602. doi: 10.1111/jocs.15508. Epub 2021 Mar 24. PMID: 33760302.
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Three-dimensional printing: changing clinical care or just a passing fad?.

Current opinion in cardiology

Ryan J, Gregg C, Frakes D, Pophal S.
PMID: 27861185
Curr Opin Cardiol. 2017 Jan;32(1):86-92. doi: 10.1097/HCO.0000000000000352.

PURPOSE OF REVIEW: Advances in medical imaging and three-dimensional (3D) reconstruction software have enabled a proliferation of 3D modeling and 3D printing for clinical applications. In particular, 3D printing has garnered an extraordinary media presence over the past few...

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Ryan J, Gregg C, Frakes D, et al. Three-dimensional printing: changing clinical care or just a passing fad?. Curr Opin Cardiol. 2017;32(1):86-92doi: 10.1097/HCO.0000000000000352.
Ryan, J., Gregg, C., Frakes, D., & Pophal, S. (2017). Three-dimensional printing: changing clinical care or just a passing fad?. Current opinion in cardiology, 32(1), 86-92. https://doi.org/10.1097/HCO.0000000000000352
Ryan, Justin, et al. "Three-dimensional printing: changing clinical care or just a passing fad?." Current opinion in cardiology vol. 32,1 (2017): 86-92. doi: https://doi.org/10.1097/HCO.0000000000000352
Ryan J, Gregg C, Frakes D, Pophal S. Three-dimensional printing: changing clinical care or just a passing fad?. Curr Opin Cardiol. 2017 Jan;32(1):86-92. doi: 10.1097/HCO.0000000000000352. PMID: 27861185.
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Improved detection of focal cortical dysplasia using a novel 3D imaging sequence: Edge-Enhancing Gradient Echo (3D-EDGE) MRI.

NeuroImage. Clinical

Middlebrooks EH, Lin C, Westerhold E, Okromelidze L, Vibhute P, Grewal SS, Gupta V.
PMID: 33032066
Neuroimage Clin. 2020;28:102449. doi: 10.1016/j.nicl.2020.102449. Epub 2020 Sep 28.

Epilepsy is a common neurological disorder with focal cortical dysplasia (FCD) being one of the most common lesional causes. Detection of FCD by MRI is a major determinant of surgical outcome. Evolution of MRI sequences and hardware has greatly...

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Middlebrooks EH, Lin C, Westerhold E, et al. Improved detection of focal cortical dysplasia using a novel 3D imaging sequence: Edge-Enhancing Gradient Echo (3D-EDGE) MRI. Neuroimage Clin. 2020;28:102449doi: 10.1016/j.nicl.2020.102449.
Middlebrooks, E. H., Lin, C., Westerhold, E., Okromelidze, L., Vibhute, P., Grewal, S. S., & Gupta, V. (2020). Improved detection of focal cortical dysplasia using a novel 3D imaging sequence: Edge-Enhancing Gradient Echo (3D-EDGE) MRI. NeuroImage. Clinical, 28102449. https://doi.org/10.1016/j.nicl.2020.102449
Middlebrooks, Erik H, et al. "Improved detection of focal cortical dysplasia using a novel 3D imaging sequence: Edge-Enhancing Gradient Echo (3D-EDGE) MRI." NeuroImage. Clinical vol. 28 (2020): 102449. doi: https://doi.org/10.1016/j.nicl.2020.102449
Middlebrooks EH, Lin C, Westerhold E, Okromelidze L, Vibhute P, Grewal SS, Gupta V. Improved detection of focal cortical dysplasia using a novel 3D imaging sequence: Edge-Enhancing Gradient Echo (3D-EDGE) MRI. Neuroimage Clin. 2020;28:102449. doi: 10.1016/j.nicl.2020.102449. Epub 2020 Sep 28. PMID: 33032066; PMCID: PMC7552096.
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A modular and scalable computational framework for interactive immersion into imaging data with a holographic augmented reality interface.

Computer methods and programs in biomedicine

Velazco-Garcia JD, Shah DJ, Leiss EL, Tsekos NV.
PMID: 33045556
Comput Methods Programs Biomed. 2021 Jan;198:105779. doi: 10.1016/j.cmpb.2020.105779. Epub 2020 Oct 02.

BACKGROUND AND OBJECTIVE: Modern imaging scanners produce an ever-growing body of 3D/4D multimodal data requiring image analytics and visualization of fused images, segmentations, and information. For the latter, augmented reality (AR) with head-mounted displays (HMDs) has shown potential. This...

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Velazco-Garcia JD, Shah DJ, Leiss EL, et al. A modular and scalable computational framework for interactive immersion into imaging data with a holographic augmented reality interface. Comput Methods Programs Biomed. 2020;198:105779doi: 10.1016/j.cmpb.2020.105779.
Velazco-Garcia, J. D., Shah, D. J., Leiss, E. L., & Tsekos, N. V. (2021). A modular and scalable computational framework for interactive immersion into imaging data with a holographic augmented reality interface. Computer methods and programs in biomedicine, 198105779. https://doi.org/10.1016/j.cmpb.2020.105779
Velazco-Garcia, Jose D, et al. "A modular and scalable computational framework for interactive immersion into imaging data with a holographic augmented reality interface." Computer methods and programs in biomedicine vol. 198 (2021): 105779. doi: https://doi.org/10.1016/j.cmpb.2020.105779
Velazco-Garcia JD, Shah DJ, Leiss EL, Tsekos NV. A modular and scalable computational framework for interactive immersion into imaging data with a holographic augmented reality interface. Comput Methods Programs Biomed. 2021 Jan;198:105779. doi: 10.1016/j.cmpb.2020.105779. Epub 2020 Oct 02. PMID: 33045556.
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Showing 13 to 24 of 146 entries