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Advanced Applications of Volume Visualization Methods in Medicine
Published in Alexander D. Poularikas, Stergios Stergiopoulos, Advanced Signal Processing, 2017
Georgios Sakas, Grigorios Karangelis, Andreas Pommert
3D ultrasound is a very new and interesting application in the area of “tomographic” medical imaging, able to become a fast, nonradiative, noninvasive, and inexpensive volumetric data acquisition technique with unique advantages for the localization of vessels and tumors in soft tissue (spleen, kidneys, liver, breast, etc.). In general, tomographic techniques (CT, MR, PET, etc.) allow for a high anatomical clarity when inspecting the interior of the human body (Figure 4.13).
Three-dimensional ultrasound
Published in Peter R Hoskins, Kevin Martin, Abigail Thrush, Diagnostic Ultrasound, 2019
Peter R Hoskins, Tom MacGillivray
It is often desirable to extract measurements from medical images in order to reveal and diagnose disease, examine a patient's response to treatment or in obstetrics to monitor the progression of pregnancy. In 3D ultrasound a wider range of measurement possibilities exists compared to conventional 2D ultrasound, similar to CT and MRI.
Editorial message from the editor-in-chief
Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2021
The third issue, which included 12 articles, was devoted to CMBBE2018 – 15th international symposium on computer methods in biomechanics and biomedical engineering and 3rd conference on imaging and visualization, organised by J.M.R.S. Tavares and P.R. Fernandes: (1) Lee et al. presented an analysis of the sagittal profile of the spine using 3D ultrasound imaging; (2) Gajny et al. offered a study about the 3D reconstruction of adolescent scoliotic trunk shape from biplanar X-rays; (3) Vergani et al. demonstrated the use of unsupervised learning algorithms in resting state fMRI analysis; (4) Michiwaki et al. carried out a study to visualise choking on toys based on computer simulation with a new child model of swallowing; (5) Hauser et al. demonstrated a two-tissue reversible compartment model for kinetic modelling of [18F]2-fluoro-2deoxy-d-glucose to quantify amyloid in PET images; (6) Bhattarai and Staat presented a study about organ relocation after laparoscopic pectopexy to repair posthysterectomy vaginal vault prolapse; (7) Fewster et al. introduced a new system for measuring radial displacement of the intervertebral disc based on laser scanning; (8) Moraes et al. described a novel resampling method based on the 3D Lanczos kernel; (9) Sunarya et al. introduced a solution for the 3D reconstruction of the carotid artery based on a modified template matching; (10) Jain and Chauhan presented a study about instance-based learning of marker proteins of carcinoma cells; (11) Colim et al. offered a discussion about whether skin temperature changes are sensitive to work conditions during lifting tasks; and (12) Slama et al. introduced the use of a deep convolutional neural network for automated vestibular disorder classification using videonystagmography analysis.