Relevant bibliographies by topics / 3D ultrasound localization icroscopy

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic '3D ultrasound localization icroscopy'

Author: Grafiati
Published: 21 December 2024
Last updated: 31 July 2025

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Journal articles on the topic "3D ultrasound localization icroscopy"

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Krause, Cassandra, Daniel Wulff, and Floris Ernst. "Target Tracking in 4D Ultrasound using Localization Networks." Current Directions in Biomedical Engineering 10, no. 2 (2024): 29–32. http://dx.doi.org/10.1515/cdbme-2024-1059.

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Abstract In radiation therapy, breathing and other influences cause a constant movement of the tissue to be irradiated. Thus, a continuous position control is required which could be handled by the usage of 3D ultrasound imaging. For this purpose, two approaches for target tracking in 3D ultrasound (US) sequences of the liver are analyzed in this study. Therefore, an image-by-image localization of the target is performed using a deep localization network. A singletarget and a multiple-target approach are investigated where deep localization networks are trained for locating one specific and mu
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Provost, Jean. "Dynamic ultrasound localization microscopy." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A28. http://dx.doi.org/10.1121/10.0018037.

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Ultrasound localization microscopy (ULM) can map the vasculature at large depth with unprecedented resolution by localizing millions of injected microbubbles in hundreds of thousands of images acquired over a few minutes. The current state of the art in ULM is to use low concentrations to achieve the best possible spatial resolution without providing temporal information, which limits the development of functional biomarkers such as pulsality or the imaging of moving organs like the heart. In this work, we will present dynamic ultrasound localization microscopy (DULM), which enables the genera
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Chinnaiyan, Prakash, Wolfgang Tomé, Rakesh Patel, Rick Chappell, and Mark Ritter. "3D-Ultrasound Guided Radiation Therapy in the Post-Prostatectomy Setting." Technology in Cancer Research & Treatment 2, no. 5 (2003): 455–58. http://dx.doi.org/10.1177/153303460300200511.

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Daily transabdominal ultrasound-directed localization has proven valuable in correcting for setup error and organ motion in the treatment of prostate cancer with three-dimensional conformal radiation therapy (3DCRT). The present study sought to determine whether this trans-abdominal ultrasound technology could also be reliably applied in the post-operative adjuvant or salvage setting to improve the reproducibility of coverage of the intended volumes and to enhance conformal avoidance of adjacent normal structures. Sixteen consecutive patients who received external beam radiotherapy underwent d
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Xing, Paul, Vincent Perrot, Adan Ulises Dominguez-Vargas, et al. "3D ultrasound localization microscopy of the nonhuman primate brain." eBioMedicine 111 (January 2025): 105457. https://doi.org/10.1016/j.ebiom.2024.105457.

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Bandaru, Raja Sekhar, Anders Sørnes, Jan D'hooge, and Eigil Samset. "2066135 3D Localization of Specular Reflections Using Volumetric Ultrasound." Ultrasound in Medicine & Biology 41, no. 4 (2015): S56. http://dx.doi.org/10.1016/j.ultrasmedbio.2014.12.250.

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Zhong, Chunyan, Yanli Guo, Haiyun Huang, Liwen Tan, Yi Wu, and Wenting Wang. "Three-Dimensional Reconstruction of Coronary Arteries and Its Application in Localization of Coronary Artery Segments Corresponding to Myocardial Segments Identified by Transthoracic Echocardiography." Computational and Mathematical Methods in Medicine 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/783939.

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Objectives.To establish 3D models of coronary arteries (CA) and study their application in localization of CA segments identified by Transthoracic Echocardiography (TTE).Methods.Sectional images of the heart collected from the first CVH dataset and contrast CT data were used to establish 3D models of the CA. Virtual dissection was performed on the 3D models to simulate the conventional sections of TTE. Then, we used 2D ultrasound, speckle tracking imaging (STI), and 2D ultrasound plus 3D CA models to diagnose 170 patients and compare the results to coronary angiography (CAG).Results.3D models
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Yang, Xin, Yuhao Huang, Ruobing Huang, et al. "Searching collaborative agents for multi-plane localization in 3D ultrasound." Medical Image Analysis 72 (August 2021): 102119. http://dx.doi.org/10.1016/j.media.2021.102119.

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Liu, Xinyu, Jinhua Yu, Yuanyuan Wang, and Ping Chen. "Automatic localization of the fetal cerebellum on 3D ultrasound volumes." Medical Physics 40, no. 11 (2013): 112902. http://dx.doi.org/10.1118/1.4824058.

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Uherčík, Marián, Jan Kybic, Yue Zhao, Christian Cachard, and Hervé Liebgott. "Line filtering for surgical tool localization in 3D ultrasound images." Computers in Biology and Medicine 43, no. 12 (2013): 2036–45. http://dx.doi.org/10.1016/j.compbiomed.2013.09.020.

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Yao, Junjie. "Deep-brain imaging with 3D integrated photoacoustic tomography and ultrasound localization microscopy." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A53. http://dx.doi.org/10.1121/10.0026774.

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Photoacoustic computed tomography (PACT) is a proven technology for imaging hemodynamics in deep brain of small animal models. PACT is inherently compatible with ultrasound (US) imaging, providing complementary contrast mechanisms. While PACT can quantify the brain’s oxygen saturation of hemoglobin (sO2), US imaging can probe the blood flow based on the Doppler effect. Furthermore, by tracking gas-filled microbubbles, ultrasound localization microscopy (ULM) can map the blood flow velocity with sub-diffraction spatial resolution. In this work, we present a 3D deep-brain imaging system that sea
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Dissertations / Theses on the topic "3D ultrasound localization icroscopy"

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Abioui, Mourgues Myriam. "Dévelοppement d'un mοdèle préclinique chez la sοuris éveillée et stratégie thrοmbοlytique ciblée pοur l'AVC ischémique". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC420.

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L’Accident Vasculaire Cérébral (AVC) ischémique, causé par l’obstruction d’une artère cérébrale, est l’une des principales causes de mortalité et d’invalidité dans le monde. Bien que des traitements comme le rtPA et la thrombectomie mécanique existent, seul un faible pourcentage de patients y a accès. Par ailleurs, malgré l’investissement de la recherche, les difficultés à transposer les résultats des modèles animaux aux essais cliniques humains limitent le développement de nouvelles thérapies. Cette thèse présente un modèle d’AVC chez la souris éveillée visant à améliorer la transposabilité d
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Uhercik, Marian. "Surgical tools localization in 3D ultrasound images." Phd thesis, INSA de Lyon, 2011. http://tel.archives-ouvertes.fr/tel-00735702.

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This thesis deals with automatic localization of thin surgical tools such as needles or electrodes in 3D ultrasound images. The precise and reliable localization is important for medical interventions such as needle biopsy or electrode insertion into tissue. The reader is introduced to basics of medical ultrasound (US) imaging. The state of the art localization methods are reviewed in the work. Many methods such as Hough transform (HT) or Parallel Integral Projection (PIP) are based on projections. As the existing PIP implementations are relatively slow, we suggest an acceleration by using a m
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Heiles, Baptiste. "Microscopie par Localisation Ultrasonore en 3D." Thesis, Paris Sciences et Lettres (ComUE), 2019. https://pastel.archives-ouvertes.fr/tel-02953081.

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La microscopie par localization ultrasonore a montré qu’il était possible de s’affranchir du compromis entre la penetration et la resolution en échographie grâce aux ultrasons ultrarapides et à l’utilisation d’agents de contraste. Cependant, cette technique sera difficilement transposable dans un environment clinique car elle implique : 1. de longs temps d’acquisitions, 2. un champ de vue limité à un plan, 3. l’impossibilité de corriger les mouvements hors plan, 4. des quantités de données importantes et 5. des temps de calculs extrêmement longs. En développant cette technique en 3 dimensions,
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Zhao, Yue. "Biopsy needles localization and tracking methods in 3d medical ultrasound with ROI-RANSAC-KALMAN." Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0015/document.

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Dans les examens médicaux et les actes de thérapie, les techniques minimalement invasives sont de plus en plus utilisées. Des instruments comme des aiguilles de biopsie, ou des électrodes sont utilisés pour extraire des échantillons de cellules ou pour effectuer des traitements. Afin de réduire les traumatismes et de faciliter le suivi visuelle de ces interventions, des systèmes d’assistance par imagerie médicale, comme par exemple, par l’échographie 2D, sont utilisés dans la procédure chirurgicale. Nous proposons d’utiliser l’échographie 3D pour faciliter la visualisation de l’aiguille, mais
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Zarader, Pierre. "Transcranial ultrasound tracking of a neurosurgical microrobot." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS054.

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Dans l'objectif de traiter les tumeurs cérébrales difficilement accessibles avec les outils chirugicaux actuels, Robeauté développe un microrobot innovant dans l'objectif de naviguer dans les zones cérébrales profondes avec un minimum d'invasivité. L'objectif de cette thèse a été de développer et de valider un système de suivi ultrasonore transcrânien du microrobot afin de pouvoir implémenter des commandes robotiques et garantir ainsi la sûreté et l'efficacité de l'intervention.L'approche proposée consiste à placer trois émetteurs ultrasonores sur la tête du patient, et à embarquer un récepteu
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Book chapters on the topic "3D ultrasound localization icroscopy"

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Novotny, Paul M., Jeremy W. Cannon, and Robert D. Howe. "Tool Localization in 3D Ultrasound Images." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39903-2_127.

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Yeung, Pak-Hei, Moska Aliasi, Monique Haak, Weidi Xie, and Ana I. L. Namburete. "Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16440-8_20.

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Sun, Shih-Yu, Matthew Gilbertson, and Brian W. Anthony. "Probe Localization for Freehand 3D Ultrasound by Tracking Skin Features." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10470-6_46.

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Huang, Yuhao, Xin Yang, Rui Li, et al. "Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59716-0_53.

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Mohareri, Omid, Mahdi Ramezani, Troy Adebar, Purang Abolmaesumi, and Septimiu Salcudean. "Automatic Detection and Localization of da Vinci Tool Tips in 3D Ultrasound." In Information Processing in Computer-Assisted Interventions. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30618-1_3.

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Mwikirize, Cosmas, John L. Nosher, and Ilker Hacihaliloglu. "Local Phase-Based Learning for Needle Detection and Localization in 3D Ultrasound." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67543-5_10.

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Dou, Haoran, Xin Yang, Jikuan Qian, et al. "Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32254-0_33.

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Zou, Yuxin, Haoran Dou, Yuhao Huang, et al. "Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16440-8_29.

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Xu, Rong, Jun Ohya, Bo Zhang, Yoshinobu Sato, and Masakatsu G. Fujie. "A Flexible Surgical Tool Localization Using a 3D Ultrasound Calibration System for Fetoscopic Tracheal Occlusion (FETO)." In Clinical Image-Based Procedures. From Planning to Intervention. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38079-2_3.

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Chen, Alvin I., Max L. Balter, Timothy J. Maguire, and Martin L. Yarmush. "3D Near Infrared and Ultrasound Imaging of Peripheral Blood Vessels for Real-Time Localization and Needle Guidance." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46726-9_45.

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Conference papers on the topic "3D ultrasound localization icroscopy"

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Liu, Xilun, and Mohamed Almekkawy. "3D Ultrasound Microbubbles Localization Using Object Detection Model." In 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS). IEEE, 2024. https://doi.org/10.1109/uffc-js60046.2024.10793617.

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Cárdenas-Bedoya, W., S. Gil-González, D. Cárdenas-Peña, J. Gil-González, A. A. Orozco-Gutiérrez, and O. D. Aguirre-Ospina. "3D probe localization from 2D ultrasound images using an RFF-enhanced deep neural network." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782917.

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Lok, U.-Wai, Joshua D. Trzasko, Chengwu Huang, Jingke Zhang, Ryan M. DeRuiter, and Shigao Chen. "GPU-based Blockwise Non-Local Means Filtering with Microbubble Separation for 3D Ultrasound Localization Microscopy." In 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS). IEEE, 2024. https://doi.org/10.1109/uffc-js60046.2024.10794030.

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Dencks, Stefanie, Nico Oblisz, Thomas Lisson, and Georg Schmitz. "Achievable Localization Precision of Clinical 3D Ultrasound Localization Microscopy (ULM)." In 2022 IEEE International Ultrasonics Symposium (IUS). IEEE, 2022. http://dx.doi.org/10.1109/ius54386.2022.9957160.

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Shahin, O., V. Martens, A. Besirevic, M. Kleemann, and A. Schlaefer. "Localization of liver tumors in freehand 3D laparoscopic ultrasound." In SPIE Medical Imaging, edited by David R. Holmes III and Kenneth H. Wong. SPIE, 2012. http://dx.doi.org/10.1117/12.912375.

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Barva, Martin, Jan Kybic, Jean-Martial Mari, Christian Cachard, and Vaclav Hlavac. "Automatic localization of curvilinear object in 3D ultrasound images." In Medical Imaging, edited by William F. Walker and Stanislav Y. Emelianov. SPIE, 2005. http://dx.doi.org/10.1117/12.594763.

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Schmauder, Michael, Steffen Zeiler, C. M. Gross, Juergen Waigand, and Reinhold Orglmeister. "Automated 3D-stent localization from intravascular ultrasound image sequences." In Medical Imaging 2000, edited by Kenneth M. Hanson. SPIE, 2000. http://dx.doi.org/10.1117/12.387656.

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Younes, Hatem, Sandrine Voros, and Jocelyne Troccaz. "Automatic needle localization in 3D ultrasound images for brachytherapy." In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). IEEE, 2018. http://dx.doi.org/10.1109/isbi.2018.8363787.

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Wang, Bingxue, Jipeng Yan, Kai Riemer, Matthieu Toulemonde, Joseph Hansen-Shearer, and Meng-Xing Tang. "Comparison of localization methods for 3D Super-Resolution Ultrasound Imaging." In 2022 IEEE International Ultrasonics Symposium (IUS). IEEE, 2022. http://dx.doi.org/10.1109/ius54386.2022.9957144.

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Han, Wenzhao, Yuting Zhang, Yachuan Zhao, Anguo Luo, and Bo Peng. "3D U-Net3+ Based Microbubble Filtering for Ultrasound Localization Microscopy." In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2023. http://dx.doi.org/10.1109/smc53992.2023.10394576.

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