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  • 1
    UID:
    almafu_BV047552530
    Umfang: 1 Online-Ressource (XIII, 230 p. 77 illus., 64 illus. in color).
    Ausgabe: 1st ed. 2021
    ISBN: 978-3-030-87583-1
    Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics 12967
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-87582-4
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-87584-8
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Bildgebendes Verfahren ; Anwendungssoftware ; Ultraschall ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    UID:
    b3kat_BV047552530
    Umfang: 1 Online-Ressource (XIII, 230 p. 77 illus., 64 illus. in color)
    Ausgabe: 1st ed. 2021
    ISBN: 9783030875831
    Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics 12967
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-87582-4
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-87584-8
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Bildgebendes Verfahren ; Anwendungssoftware ; Ultraschall ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    UID:
    edoccha_BV047552530
    Umfang: 1 Online-Ressource (XIII, 230 p. 77 illus., 64 illus. in color).
    Ausgabe: 1st ed. 2021
    ISBN: 978-3-030-87583-1
    Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics 12967
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-87582-4
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-87584-8
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Bildgebendes Verfahren ; Anwendungssoftware ; Ultraschall ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    UID:
    edocfu_BV047552530
    Umfang: 1 Online-Ressource (XIII, 230 p. 77 illus., 64 illus. in color).
    Ausgabe: 1st ed. 2021
    ISBN: 978-3-030-87583-1
    Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics 12967
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-87582-4
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-87584-8
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Bildgebendes Verfahren ; Anwendungssoftware ; Ultraschall ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    UID:
    almahu_9949880907502882
    Umfang: 1 online resource (221 pages)
    Ausgabe: 1st ed.
    ISBN: 9780750325523
    Serie: IPEM-IOP Series in Physics and Engineering in Medicine and Biology Series
    Inhalt: This book provides a comprehensive overview of the role of 3D/4D ultrasound imaging in radiotherapy. It identifies barriers to the clinical implementation of ultrasound-guided radiotherapy, and provides a critical discussion of potential solutions as well as highlighting exciting new opportunities for research in this field.
    Anmerkung: Intro -- Preface -- Editor biographies -- Emma Harris -- Davide Fontanarosa -- Saskia Camps -- Frank Verhaegen -- List of contributors -- Glossary -- Chapter 1 Introduction -- 1.1 Image guided and adaptive radiotherapy -- 1.2 Rationale for using ultrasound guidance -- 1.3 A brief history of ultrasound in radiotherapy -- 1.4 Summary of the book structure -- References -- Chapter 2 Ultrasound imaging physics and technology -- 2.1 Basic physics of medical ultrasound -- 2.1.1 Medical ultrasound image formation -- 2.1.2 Speed of sound -- 2.1.3 Reflection and refraction -- 2.1.4 Attenuation -- 2.1.5 Ultrasonic speckle -- 2.2 Ultrasound probe technology -- 2.2.1 The ultrasound transducer element -- 2.2.2 Multi-element arrays -- 2.3 Three-dimensional ultrasound imaging -- 2.4 Ultrasound imaging parameters -- 2.4.1 Ultrasound transmit frequency -- 2.4.2 Transmit power control -- 2.4.3 Gain and time gain compensation -- 2.4.4 Imaging depth -- 2.4.5 Number and depth of foci -- 2.4.6 Frame or volume rate -- 2.4.7 Dynamic range -- 2.4.8 Tissue harmonic imaging -- Acknowledgements -- Consolidation quiz -- References -- Chapter 3 Registration of ultrasound with radiotherapy room coordinates -- 3.1 Methods for localising the ultrasound probe -- 3.2 Spatial calibration -- 3.2.1 Setup and transformations -- 3.2.2 Calibration methods and phantoms -- 3.2.3 Validation -- 3.3 Uncertainties and technical limitations -- 3.3.1 In-room alignment and tracking -- 3.3.2 Speed of sound errors -- 3.3.3 Probe pressure -- Consolidation quiz -- References -- Chapter 4 Ultrasound probe setup and image quality -- 4.1 Introduction -- 4.2 Clinical requirements for ultrasound image quality in radiotherapy -- 4.3 Ultrasound image quality conventions -- 4.4 Automatic quality assessment -- 4.5 Methods for image quality improvement -- 4.5.1 Automated probe set up and operator assistance. , 4.5.2 Improving image quality through spatial compounding -- 4.5.3 Improvements offered by 3D-extended aperture spatial compounding -- Consolidation quiz -- References -- Chapter 5 Ultrasound in the radiotherapy planning process -- 5.1 Introduction -- 5.2 Ultrasound for target volume definition -- 5.3 Automated segmentation of tissues on ultrasound images -- 5.3.1 Automatic segmentation of the prostate -- 5.3.2 Automatic segmentation of the uterus -- 5.4 Planning with the probe in place -- 5.4.1 Integration of the probe with imaging for planning -- 5.4.2 Challenges with creating clinically acceptable treatment plans that account for the probe -- Consolidation quiz -- References -- Chapter 6 Ultrasound for measuring interfraction organ motion -- 6.1 Introduction -- 6.2 Intermodality and intramodality imaging -- 6.3 Setup challenges -- 6.4 Anatomical sites -- 6.4.1 Prostate and prostate bed -- 6.4.2 Gynaecology -- 6.4.3 Liver -- 6.4.4 Breast -- Consolidation quiz -- References -- Chapter 7 Ultrasound for measuring intrafractional organ motion -- 7.1 Introduction -- 7.2 Motion monitoring approaches in ultrasound -- 7.2.1 Direct approaches -- 7.2.2 Indirect approaches -- 7.3 System requirements for intrafractional ultrasound guidance -- 7.3.1 Site-specific requirements -- 7.3.2 Technical requirements -- 7.3.3 Challenges and limitations -- 7.4 Clinical applications -- 7.4.1 In vitro studies -- 7.4.2 In vivo studies -- 7.5 Future directions and recommendations -- Consolidation quiz -- References -- Chapter 8 Applications of ultrasound to adaptive radiotherapy -- 8.1 Introduction -- 8.1.1 Adaptive radiotherapy -- 8.1.2 Imaging for adaptive radiotherapy -- 8.2 Ultrasound for pseudo CT creation for adaptive prostate radiotherapy -- 8.3 Ultrasound for adaptive radiotherapy for cervical cancer -- Consolidation quiz -- References. , Chapter 9 Automation and robotics in ultrasound-guided radiotherapy -- 9.1 Why automation? -- 9.2 Robotic ultrasound-guided radiotherapy tasks -- 9.2.1 Technical considerations -- 9.2.2 Automated probe positioning -- 9.2.3 Dynamic adaptation -- 9.2.4 Optimisation of target visibility -- 9.2.5 Probe repositioning during treatment -- 9.3 System integration -- 9.3.1 Calibration for robotic ultrasound guidance -- 9.3.2 Collision avoidance -- 9.4 Current robotic systems -- 9.4.1 First-generation systems -- 9.4.2 Second-generation systems -- 9.5 Practical implementation and considerations -- 9.5.1 Workflow integration -- 9.5.2 System accuracy and quality assurance -- 9.5.3 Treatment quality -- 9.5.4 Safety -- 9.5.5 Acceptance -- 9.6 Take home message -- Consolidation quiz -- References -- Chapter 10 Artificial intelligence applications in ultrasound-guided radiotherapy -- 10.1 Introduction -- 10.2 Supervised learning approaches -- 10.2.1 Traditional machine learning methods -- 10.2.2 Deep learning methods -- 10.2.3 Prostate ultrasound-guided radiotherapy -- 10.2.4 Liver ultrasound-guided radiotherapy -- 10.3 Weakly supervised and unsupervised learning approaches -- 10.4 Clinical implementation -- Consolidation quiz -- References -- Chapter 11 Ionoacoustics -- 11.1 Introduction -- 11.2 Signal formation and detection -- 11.3 Pioneering investigations on ionoaoustics and first clinical testing -- 11.4 Renaissance of ionoacoustics and ongoing developments -- 11.5 Future clinical implementation -- 11.6 Conclusion and outlook -- Acknowledgement -- Consolidation quiz -- References -- Chapter 12 Future directions for ultrasound imaging in radiotherapy -- 12.1 Introduction -- 12.2 The future of automation -- 12.3 New probe technology -- 12.4 Adaptive radiotherapy -- 12.5 Integration into proton therapy. , 12.6 Ultrasound for the measurement of tumour response to radiotherapy -- 12.6.1 Doppler and contrast enhanced ultrasound -- 12.6.2 Ultrasound elastography -- 12.6.3 Ultrasound tissue characterisation -- References -- Chapter -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- Chapter 8 -- Chapter 9 -- Chapter 10 -- Chapter 11.
    Weitere Ausg.: Print version: Harris, Emma Modern Applications of 3D/4D Ultrasound Imaging in Radiotherapy Bristol : Institute of Physics Publishing,c2021 ISBN 9780750325530
    Sprache: Englisch
    Schlagwort(e): Electronic books.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 6
    UID:
    gbv_177226170X
    Umfang: 1 Online-Ressource(XIII, 230 p. 77 illus., 64 illus. in color.)
    Ausgabe: 1st ed. 2021.
    ISBN: 9783030875831
    Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics 12967
    Inhalt: Automatic ultrasound vessel segmentation with deep spatiotemporal context learning -- Multimodal continual learning with sonographer eye-tracking in fetal ultrasound -- Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels -- Automatic tomographic ultrasound imaging sequence extraction of the anal sphincter -- Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia -- An Efficient Tracker for Thyroid Nodule Detection and Tracking during Ultrasound Scanning -- TransBridge: A lightweight transformer for left ventricle segmentation in echocardiography -- Adversarial Affine Registration for Real-time Intraoperative Registration of 3-D US-US for Brain Shift Correction -- Robust ultrasound-to-ultrasound registration for intra-operative brain shift correction with a Siamese neural network -- Pose Estimation of 2D Ultrasound Probe from Ultrasound Image Sequences Using CNN and RNN -- Evaluation of low-cost hardware alternatives for 3D freehand ultrasound reconstruction in image-guided neurosurgery -- Application potential of robot-guided ultrasound during CT-guided interventions -- Towards Scale and Position Invariant Task Classification using Normalised Visual Scanpaths in Clinical Fetal Ultrasound -- Efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation -- Contrastive Learning for View Classification of Echocardiograms -- Imaging Biomarker Knowledge Transfer for Attention-based Diagnosis of COVID-19 in Lung Ultrasound Videos -- Endoscopic ultrasound image synthesis using a cycle-consistent adversarial network -- Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease -- Adaptable image quality assessment using meta-reinforcement learning of task amenability -- Deep Video Networks for Automatic Assessment of Aortic Stenosis in Echocardiography -- Pruning MobileNetV2 for Efficient Implementation of Minimum Variance Beamforming -- Automatic fetal gestational age estimation from first trimester scans.
    Inhalt: This book constitutes the proceedings of the Second International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2021, held on September 27, 2021, in conjunction with MICCAI 2021, the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Strasbourg, France, but changed to an online event due to the Coronavirus pandemic. The 22 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: segmentation and detection; registration, guidance and robotics; classification and image synthesis; and quality assessment and quantitative imaging.
    Weitere Ausg.: ISBN 9783030875824
    Weitere Ausg.: ISBN 9783030875848
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 9783030875824
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 9783030875848
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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