Graph-based learning for segmentation of 3D ultrasound images. Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis.
International Journal of Computer Assisted Radiology and Surgery. Breast ultrasound image segmentation: a survey. Systematic evaluation on speckle suppression methods in examination of ultrasound breast images. Moreover, the advantages and disadvantages of state-of-the-art approaches are discussed in detail.įeng X., Guo X., Huang Q. Specifically, the data acquisition techniques, reconstruction algorithms, volume rendering methods, and clinical applications are presented. In this article, previous and the latest work on designing a real-time or near real-time 3D ultrasound imaging system are reviewed.
RAYSUPREME 3D REVIEW HOW TO
So far, a review on how to design an interactive system with appropriate processing algorithms remains missing, resulting in the lack of systematic understanding of the relevant technology. Plenty of publications have been declared to complete the real-time or near real-time visualization of 3D ultrasound using volumetric probes or the routinely used two-dimensional (2D) probes. Real-time three-dimensional (3D) ultrasound (US) has attracted much more attention in medical researches because it provides interactive feedback to help clinicians acquire high-quality images as well as timely spatial information of the scanned area and hence is necessary in intraoperative ultrasound examinations.
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