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A curated list of related papers and resources for freehand 3d ultrasound.

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Awesome - Freehand 3D Ultrasound

A curated list of related papers and resources for freehand 3d ultrasound.

Note that:

  • This list is not exhaustive. Your contributions are welcome!
  • Lists are organized by year and alphabetically for fairness.

Freehand three-dimensional (3D) ultrasound is a technique for acquiring 3D ultrasound data by measuring the trajectory of a conventional 2D ultrasound probe as a clinician moves it across an object of interest.

Overview

Review

  • A review of calibration techniques for freehand 3-D ultrasound systems
    [Ultrasound in Medicine & Biology, 2005] [DOI]
  • Freehand 3D Ultrasound Reconstruction Algorithms¡ªA Review
    [Ultrasound in Medicine & Biology, 2007] [DOI]
  • Freehand 3D Ultrasound Calibration: A Review
    [Advanced Imaging in Biology and Medicine, 2009] [DOI]
  • Freehand 3-D Ultrasound Imaging: A Systematic Review
    [Ultrasound in Medicine & Biology, 2017] [DOI]
  • A Survey on 3D Ultrasound Reconstruction Techniques
    [Artificial Intelligence - Applications in Medicine and Biology, 2019] [DOI]
  • The big bang of deep learning in ultrasound-guided surgery: a review
    [IEEE TUFFC, 2023] [DOI]

Reconstruction

  • Deep Learning for Sensorless 3D Freehand Ultrasound Imaging
    [MICCAI, 2017] [DOI]
  • 3D freehand ultrasound without external tracking using deep learning
    [MedIA, 2018] [DOI]
  • Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning
    [MICCAI, 2020] [DOI]
  • Three-Dimensional Thyroid Assessment from Untracked 2D Ultrasound Clips
    [MICCAI, 2020] [DOI]
  • ImplicitVol: Sensorless 3D ultrasound reconstruction with deep implicit representation
    [arXiv, 2021] [DOI]
  • Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
    [MICCAI, 2021] [DOI]
  • Transducer Adaptive Ultrasound Volume Reconstruction
    [IEEE ISBI, 2021] [DOI]
  • Deep Motion Network for Freehand 3D Ultrasound Reconstruction
    [MICCAI, 2022] [DOI]
  • Ultrasound Volume Reconstruction From Freehand Scans Without Tracking
    [IEEE TBME, 2022] [DOI]
  • A Freehand 3D Ultrasound Reconstruction Method Based on Deep Learning
    [Electronics, 2023] [DOI]
  • RecON: Online learning for sensorless freehand 3D ultrasound reconstruction
    [MedIA, 2023] [DOI]

Guidance

  • Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound
    [MICCAI, 2020] [DOI]
  • Population-based 3D respiratory motion modelling from convolutional autoencoders for 2D ultrasound-guided radiotherapy
    [MedIA, 2021] [DOI]
  • Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval
    [MICCAI, 2021] [DOI]
  • Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning
    [MICCAI, 2022] [DOI]

Interpolation

  • Hole-filling based on content loss indexed 3D partial convolution network for freehand ultrasound reconstruction
    [Computer Methods and Programs in Biomedicine, 2021] [DOI]

Large-FOV

  • PURE: Panoramic Ultrasound Reconstruction by Seamless Stitching of Volumes
    [SASHIMI, 2016] [DOI]

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