Journal articles: 'Real Time Ultrasound'

1

HASEGAWA, Junichi, and Toshiyuki HATA. "High-definition real-time ultrasound." Choonpa Igaku 43, no. 3 (2016): 491–95. http://dx.doi.org/10.3179/jjmu.jjmu.r.56.

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Rifkin, Matthew D. "International real-time ultrasound." Ultrasound in Medicine & Biology 12, no. 1 (January 1986): 54. http://dx.doi.org/10.1016/0301-5629(86)90145-6.

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Gerlock, Amil J. "Interventional Real-Time Ultrasound." Radiology 159, no. 3 (June 1986): 630. http://dx.doi.org/10.1148/radiology.159.3.630-b.

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Noble, Joanna R., Matthew P. Fronheiser, and Stephen W. Smith. "Real-Time Stereo 3D Ultrasound." Ultrasonic Imaging 28, no. 4 (October 2006): 245–54. http://dx.doi.org/10.1177/016173460602800404.

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Krackov, Rachel, and Denise Rizzolo. "Real-time ultrasound-guided thoracentesis." Journal of the American Academy of Physician Assistants 30, no. 4 (April 2017): 32–37. http://dx.doi.org/10.1097/01.jaa.0000508210.40675.09.

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Rivaz, Hassan, Emad M. Boctor, Michael A. Choti, and Gregory D. Hager. "Real-Time Regularized Ultrasound Elastography." IEEE Transactions on Medical Imaging 30, no. 4 (April 2011): 928–45. http://dx.doi.org/10.1109/tmi.2010.2091966.

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Pohlable, Mary E., Frank H. Allen, and Merritt E. Nelson. ""Extended Vision" Real-time Ultrasound." Journal of Diagnostic Medical Sonography 2, no. 6 (November 1986): 309–14. http://dx.doi.org/10.1177/875647938600200601.

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Aiger, Dror, and Daniel Cohen-Or. "Real-Time Ultrasound Imaging Simulation." Real-Time Imaging 4, no. 4 (August 1998): 263–74. http://dx.doi.org/10.1006/rtim.1997.0089.

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Palhano Xavier de Fontes, Fernanda, Guillermo Andrade Barroso, Pierrick Coupé, and Pierre Hellier. "Real time ultrasound image denoising." Journal of Real-Time Image Processing 6, no. 1 (May 13, 2010): 15–22. http://dx.doi.org/10.1007/s11554-010-0158-5.

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Winkens, T., T. Opfermann, P. Elsner, I. Runnebaum, A. Darr, and M. Freesmeyer. "Real-time ultrasound and freehand-SPECT." Nuklearmedizin 53, no. 06 (2014): 259–64. http://dx.doi.org/10.3413/nukmed-0680-14-06.

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SummaryAim of this work is to report first experiences of the feasibility and applicability of a hybrid freehandSPECT/ultrasound (fh-SPECT/US) imaging concept, with regard to SLN imaging, in patients with breast cancer and malignant melanoma. Patients, methods: 18 patients with breast cancer or malignant melanoma received standard SLN scintigraphy. Following this, fh-SPECT using declipse®SPECT (SurgicEye, Munich, Germany) was performed, a handheld-gamma camera-based method to visualize activity distribution within a region of interest as a cross-sectional data set. These data were transferred to an ultrasound device and sensor-navigated ultrasound was performed combining fhSPECT data with ultrasound images, displaying superimposed images. Quality of fh- SPECT and co-registration accuracy was assigned to one of four categories and occurrence of artefacts was assessed. Results: In 4/18 examinations, there was a no deviation regarding co-registration of both data sets. For 9/18 patients, there was a deviation of <1 cm (mean 0.7±0.3 cm, range 0.3–1.0 cm). For 3/18 patients, a deviation >1 cm was present (mean 1.7±0.3 cm, range 1.5–2.0 cm). In 2/18 examinations no lymph node was found in the region of highest activity. Fh-SPECT reconstruction artifacts occurred in 6/18 examinations. Conclusion: The fusion imaging concept combining SLN information with ultrasound images presented here proves to be feasible and technically successful. However, significant technical limitations were shown in fh-SPECT quality and fusion precision. Subject to technical optimisation of SPECT quality and co-registration, a meaningful contribution to the preoperative planning of lymph node therapy is imaginable. Thus, fundamentally a preoperative histological examination by fh-SPECT/US-guided biopsy is possible.

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CASTELLANO, JAMES, JAMES E. TOHER, MICHAEL J. SINDLER, and JOHN D. DUMLER. "Pocket Computer For Real-Time Ultrasound." Southern Medical Journal 79, no. 11 (November 1986): 1331–36. http://dx.doi.org/10.1097/00007611-198611000-00004.

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Hedrick, W. R., and D. L. Hykes. "Image Formation in Real-Time Ultrasound." Journal of Diagnostic Medical Sonography 11, no. 5 (September 1995): 246–51. http://dx.doi.org/10.1177/875647939501100504.

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Hedrick, W. R., and Cynthia L. Peterson. "Image Artifacts in Real-Time Ultrasound." Journal of Diagnostic Medical Sonography 11, no. 6 (November 1995): 300–308. http://dx.doi.org/10.1177/875647939501100603.

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Koch, Albert F., and David M. Prater. "Real time ultrasound endocardial displacement display." Journal of the Acoustical Society of America 101, no. 5 (1997): 2429. http://dx.doi.org/10.1121/1.419282.

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Wilson, J., and J. Hayward. "Real-time ultrasound scanning of bitches." Veterinary Record 116, no. 26 (June 29, 1985): 698–99. http://dx.doi.org/10.1136/vr.116.26.698-c.

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16

Lindgren, P. G. "Book Review: Interventional Real-Time Ultrasound." Acta Radiologica 29, no. 1 (January 1988): 144. http://dx.doi.org/10.1177/028418518802900133.

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Treece, Graham, Joel Lindop, Lujie Chen, James Housden, Richard Prager, and Andrew Gee. "Real-time quasi-static ultrasound elastography." Interface Focus 1, no. 4 (April 20, 2011): 540–52. http://dx.doi.org/10.1098/rsfs.2011.0011.

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Ultrasound elastography is a technique used for clinical imaging of tissue stiffness with a conventional ultrasound machine. It was first proposed two decades ago, but active research continues in this area to the present day. Numerous clinical applications have been investigated, mostly related to cancer imaging, and though these have yet to prove conclusive, the technique has seen increasing commercial and clinical interest. This paper presents a review of the most widely adopted, non-quantitative, techniques focusing on technical innovations rather than clinical applications. The review is not intended to be exhaustive, concentrating instead on placing the various techniques in context according to the authors' perspective of the field.

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Hsu, Po-Wei, Richard W. Prager, Andrew H. Gee, and Graham M. Treece. "Real-Time Freehand 3D Ultrasound Calibration." Ultrasound in Medicine & Biology 34, no. 2 (February 2008): 239–51. http://dx.doi.org/10.1016/j.ultrasmedbio.2007.07.020.

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Chen, Zhenping, and Qinghua Huang. "Real-time freehand 3D ultrasound imaging." Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 6, no. 1 (May 13, 2016): 74–83. http://dx.doi.org/10.1080/21681163.2016.1167623.

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20

von Ramm, Olaf T., and Stephen W. Smith. "Real time volumetric ultrasound imaging system." Journal of Digital Imaging 3, no. 4 (November 1990): 261–66. http://dx.doi.org/10.1007/bf03168124.

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21

Heckmatt, J. Z., N. Pier, and V. Dubowitz. "Real-time ultrasound imaging of muscles." Muscle & Nerve 11, no. 1 (January 1988): 56–65. http://dx.doi.org/10.1002/mus.880110110.

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22

Somer, Jan C. "The history of real time ultrasound." International Congress Series 1274 (October 2004): 3–13. http://dx.doi.org/10.1016/j.ics.2004.07.037.

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23

van Dongen, P. W. J. "Ultrasound atlas. Real-time ultrasound imaging in internal medicine." European Journal of Obstetrics & Gynecology and Reproductive Biology 24, no. 3 (March 1987): 250. http://dx.doi.org/10.1016/0028-2243(87)90026-8.

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24

Al-Badri, Mohammed, Svenja Ipsen, Sven Böttger, and Floris Ernst. "Robotic 4D ultrasound solution for real-time visualization and teleoperation." Current Directions in Biomedical Engineering 3, no. 2 (September 7, 2017): 559–61. http://dx.doi.org/10.1515/cdbme-2017-0116.

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AbstractAutomation of the image acquisition process via robotic solutions offer a large leap towards resolving ultrasound’s user-dependency. This paper, as part of a larger project aimed to develop a multipurpose 4d-ultrasonic force-sensitive robot for medical applications, focuses on achieving real-time remote visualisation for 4d ultrasound image transfer. This was possible through implementing our software modification on a GE Vivid 7 Dimension workstation, which operates a matrix array probe controlled by a KUKA LBR iiwa 7 7-DOF robotic arm. With the help of robotic positioning and the matrix array probe, fast volumetric imaging of target regions was feasible. By testing ultrasound volumes, which were roughly 880 kB in size, while using gigabit Ethernet connection, a latency of ∼57 ms was achievable for volume transfer between the ultrasound station and a remote client application, which as a result allows a frame count of 17.4 fps. Our modification thus offers for the first time real-time remote visualization, recording and control of 4d ultrasound data, which can be implemented in teleoperation.

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Khatibi, Bahareh, and Nav Parkash Sandhu. "Real-time Ultrasound-guided Axillary Vein Cannulation." Journal of Perioperative Echocardiography 3, no. 2 (2015): 42–47. http://dx.doi.org/10.5005/jp-journals-10034-1036.

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ABSTRACT The axillary vein has been shown to be a safe and effective cannulation site for patients requiring central venous access. Compared to subclavian vein cannulation, axillary vein cannulation may reduce the rate of pneumothorax and hemothorax. Long-term complications, including the rate of infection or deep vein thrombosis, are comparable to internal jugular vein cannulation. The use of ultrasound for cannulation at traditional central vein sites, such as the internal jugular and femoral veins has been shown to aid in successful cannulation and potentially reduce complications. For axillary vein cannulation, however, when ultrasound is used only for localization of the axillary vein precannulation, it has not been shown to improve successful cannulation or decrease the rate of arterial puncture. Real-time ultrasound-guided axillary vein cannulation has been described and may increase the rate of successful cannulation and decrease complications. Various techniques of real-time ultrasound-guided axillary vein cannulation have been studied over the past decade. They differ in various characteristics including technique for needle imaging (in-plane vs out-of-plane) and upper extremity positioning (neutral vs abducted). The in-plane technique, which images the axillary vein in longitudinal view and allows the needle to be visualized at all times, has been found to result in greater first-attempt success and easier overall placement than the transverse view technique. As for upper extremity positioning, 90° abduction may result a decreased risk of catheter misplacement after proximal axillary vein cannulation. Ultrasound-guided axillary vein cannulation has many emerging uses, including use in oncology, cardiology, and nephrology. How to cite this article Khatibi B, Sandhu NP. Real-time Ultrasound-guided Axillary Vein Cannulation. J Perioper Echocardiogr 2015;3(2):42-47.

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Forsberg, Flemming, William T. Shi, Michael K. Knauer, Anne L. Hall, Chris Vecchio, and Richard Bernardi. "Real-Time Excitation-Enhanced Ultrasound Contrast Imaging." Ultrasonic Imaging 27, no. 2 (April 2005): 65–74. http://dx.doi.org/10.1177/016173460502700201.

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A new nonlinear contrast specific imaging modality, excitation-enhanced imaging (EEI) has been implemented on commercially-available scanners for real-time imaging. This novel technique employs two acoustic fields: a low-frequency, high-intensity ultrasound field (the excitation field) to actively condition contrast microbubbles, and a second lower-intensity regular imaging field applied shortly afterwards to detect enhanced contrast scattering. A Logiq 9 scanner (GE Healthcare, Milwaukee, WI) with a 3.5C curved linear array and an AN2300 digital ultrasound engine (Analogic Corporation, Peabody, MA) with a P4-2 phased array transducer (Philips Medical Systems, Bothell, WA) were modified to perform EEI on a vector-by-vector basis in fundamental and pulse inversion harmonic grayscale modes. Ultrasound contrast microbubbles within an 8 mm vessel embedded in a tissue-mimicking flow phantom (ATS Laboratories, Bridgeport, CT) were imaged in vitro. While video intensities of scattered signals from the surrounding tissue were unchanged, video intensities of echoes from contrast bubbles within the vessel were markedly enhanced. The maximum enhancement achieved was 10.4 dB in harmonic mode (mean enhancement: 6.3 dB; p=0.0007). In conclusion, EEI may improve the sensitivity of ultrasound contrast imaging, but further work is required to assess the in vivo potential of this new technique.

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27

Kaptein, Matthew J., and Elaine M. Kaptein. "Focused Real-Time Ultrasonography for Nephrologists." International Journal of Nephrology 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/3756857.

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We propose that renal consults are enhanced by incorporating a nephrology-focused ultrasound protocol including ultrasound evaluation of cardiac contractility, the presence or absence of pericardial effusion, inferior vena cava size and collapsibility to guide volume management, bladder volume to assess for obstruction or retention, and kidney size and structure to potentially gauge chronicity of renal disease or identify other structural abnormalities. The benefits of immediate and ongoing assessment of cardiac function and intravascular volume status (prerenal), possible urinary obstruction or retention (postrenal), and potential etiologies of acute kidney injury or chronic kidney disease far outweigh the limitations of bedside ultrasonography performed by nephrologists. The alternative is reliance on formal ultrasonography, which creates a disconnect between those who order, perform, and interpret studies, creates delays between when clinical questions are asked and answered, and may increase expense. Ultrasound-enhanced physical examination provides immediate information about our patients, which frequently alters our assessments and management plans.

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Ewertsen, Caroline, Adrian Săftoiu, Lucian G. Gruionu, Steen Karstrup, and Michael B. Nielsen. "Real-Time Image Fusion Involving Diagnostic Ultrasound." American Journal of Roentgenology 200, no. 3 (March 2013): W249—W255. http://dx.doi.org/10.2214/ajr.12.8904.

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29

Hedrick, W. R. "Extended Field of View Real-Time Ultrasound." Journal of Diagnostic Medical Sonography 16, no. 3 (May 2000): 103–7. http://dx.doi.org/10.1177/875647930001600302.

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Hedrick, W. R., and D. L. Hykes. "Quality Control for Real-Time Ultrasound Equipment." Journal of Diagnostic Medical Sonography 13, no. 2 (March 1997): 68–75. http://dx.doi.org/10.1177/875647939701300202.

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31

Barr, Richard G. "Real-Time Ultrasound Elasticity of the Breast." Ultrasound Quarterly 26, no. 2 (June 2010): 61–66. http://dx.doi.org/10.1097/ruq.0b013e3181dc7ce4.

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32

Rodríguez, Shalim J., and Luis E. Esteves. "Real-time ultrasound-guided percutaneous dilatational tracheostomy." Critical Care 15, no. 5 (2011): 443. http://dx.doi.org/10.1186/cc10344.

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Gjerald, S. U., R. Brekken, T. Hergum, and J. D'hooge. "Real-time ultrasound simulation using the GPU." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 59, no. 5 (May 2012): 885–92. http://dx.doi.org/10.1109/tuffc.2012.2273.

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34

VanderLaan, Donald, Andrei B. Karpiouk, Doug Yeager, and Stanislav Emelianov. "Real-Time Intravascular Ultrasound and Photoacoustic Imaging." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 64, no. 1 (January 2017): 141–49. http://dx.doi.org/10.1109/tuffc.2016.2640952.

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35

Pak, Daniel J., and Amitabh Gulati. "Real-Time Ultrasound-Assisted Thoracic Epidural Placement." Regional Anesthesia and Pain Medicine 43, no. 6 (August 2018): 613–15. http://dx.doi.org/10.1097/aap.0000000000000761.

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Cansancao, Alvaro Luiz, Alexandra Condé-Green, Rafael A. Vidigal, Ricardo Luis Rodriguez, and Richard A. D’Amico. "Real-Time Ultrasound–Assisted Gluteal Fat Grafting." Plastic and Reconstructive Surgery 142, no. 2 (August 2018): 372–76. http://dx.doi.org/10.1097/prs.0000000000004602.

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37

Brancaccio, D. "Real Time Ultrasound for Venous Catheter Placement." International Journal of Artificial Organs 18, no. 3 (March 1995): 115–16. http://dx.doi.org/10.1177/039139889501800301.

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38

Emerson, Donald S., and Richard E. Felker. "Remote real-time ultrasound interactive tele diagnosis." Journal of Ambulatory Care Management 18, no. 3 (July 1995): 20–34. http://dx.doi.org/10.1097/00004479-199507000-00005.

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39

Wang, Shen-Yung. "Real-Time Fusion Imaging of Liver Ultrasound." Journal of Medical Ultrasound 25, no. 1 (March 2017): 9–11. http://dx.doi.org/10.1016/j.jmu.2017.03.003.

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40

Forsberg, F., W. T. Shi, M. Knauer, C. Vecchio, R. Bernardi, and B. B. Goldberg. "Real-time excitation enhanced ultrasound contrast imaging." Ultrasound in Medicine & Biology 29, no. 5 (May 2003): S96—S97. http://dx.doi.org/10.1016/s0301-5629(03)00416-2.

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41

PORPIGLIA, FRANCESCO, CARLO TERRONE, MARCO COSSU, JULIEN RENARD, SUSANNA GRANDE, and ROBERTO MARIO SCARPA. "Real time ultrasound in laparoscopic bladder diverticulectomy." International Journal of Urology 12, no. 10 (October 2005): 933–35. http://dx.doi.org/10.1111/j.1442-2042.2005.01180.x.

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42

Baba, Kazunori, Takashi Okai, and Shiro Kozuma. "Real-time processable three-dimensional fetal ultrasound." Lancet 348, no. 9037 (November 1996): 1307. http://dx.doi.org/10.1016/s0140-6736(96)24045-0.

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43

Seto, Arnold H., Jonathan S. Roberts, Mazen S. Abu-Fadel, Steven J. Czak, Faisal Latif, Suresh P. Jain, Jaffar A. Raza, et al. "Real-Time Ultrasound Guidance Facilitates Transradial Access." JACC: Cardiovascular Interventions 8, no. 2 (February 2015): 283–91. http://dx.doi.org/10.1016/j.jcin.2014.05.036.

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44

Hykes, D. L., W. R. Hedrick, L. R. Milavickas, and D. E. Starchman. "Quality Assurance for Real-Time Ultrasound Equipment." Journal of Diagnostic Medical Sonography 2, no. 3 (May 1986): 121–33. http://dx.doi.org/10.1177/875647938600200302.

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45

Bond, David M., Lois K. Champion, and R. Nolan. "Real-Time Ultrasound Imaging Aids Jugular Venipuncture." Anesthesia & Analgesia 68, no. 5 (May 1989): 700???701. http://dx.doi.org/10.1213/00000539-198905000-00031.

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46

Pandian, Natesa G., Andreas Kreis, Andrew Weintraub, Amir Motarjeme, Mark Desnoyers, jeffrey M. Isner, Marvin Konstam, Deeb N. Salem, and Vic Millen. "Real-time intravascular ultrasound imaging in humans." American Journal of Cardiology 65, no. 20 (June 1990): 1392–96. http://dx.doi.org/10.1016/0002-9149(90)91334-3.

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47

Chacko, Jose, Jahan Nikahat, Brar Gagan, Kumar Umesh, and Moorthy Ramanathan. "Real-time ultrasound-guided percutaneous dilatational tracheostomy." Intensive Care Medicine 38, no. 5 (February 17, 2012): 920–21. http://dx.doi.org/10.1007/s00134-012-2514-3.

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48

Klein, Z., Y. Beyth, M. Zeituni, A. Fishman, and R. Aviram. "Real-time transvaginal ultrasound-guided surgical abortion." Ultrasound in Obstetrics and Gynecology 29, no. 3 (2007): 359–60. http://dx.doi.org/10.1002/uog.3945.

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R, Saranya, and Anandakrishnan N. "Quantum Particle Swarm Optimization (QPSO) based Robust Estimation in Real-Time Ultrasound Strain Imaging." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 07, no. 02 (April 3, 2019): 01–10. http://dx.doi.org/10.9756/sijcsea/v7i2/06050150101.

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Junker, D., T. De Zordo, M. Quentin, M. Ladurner, J. Bektic, W. Horniger, W. Jaschke, and F. Aigner. "Real-Time Elastography of the Prostate." BioMed Research International 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/180804.

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Palpation of organs is one of the oldest clinical examination techniques, for instance, if you think of the palpation of the breast or the digital rectal examination of the prostate, where hard palpable regions are suspicious for cancer. This is the basic principle of real-time elastography, an ultrasound technique, which is able to visualise tissue elasticity. Since prostate cancer features an increased stiffness due to the higher cell and vessel density than the normal surrounding tissue, real-time elastography has been used for several years for prostate cancer detection. This review introduces the different techniques of ultrasound elastography and furthermore summarises its limitations and potentials.

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Journal articles on the topic 'Real Time Ultrasound'

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