Biomedical Visualization

Johnson, Chris R.; Tricoche, Xavier

doi:10.1016/b978-0-444-53075-2.00006-x

Cited by 5 publications

(4 citation statements)

References 113 publications

(128 reference statements)

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“…A representative series of images of CTGF and filamentous-actin staining of WK1 cells is shown (Fig. 1 a) and using colour-coded contrast with a rainbow look-up table 35 to facilitate visualization of differences in CTGF staining (Fig. 1 b).…”

Section: Resultsmentioning

confidence: 99%

Mechanosensitive expression of the mesenchymal subtype marker connective tissue growth factor in glioblastoma

Grundy

Orcheston-Findlay

Silva

et al. 2022

Sci Rep

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Mechanical forces created by the extracellular environment regulate biochemical signals that modulate the inter-related cellular phenotypes of morphology, proliferation, and migration. A stiff microenvironment induces glioblastoma (GBM) cells to develop prominent actin stress fibres, take on a spread morphology and adopt trapezoid shapes, when cultured in 2D, which are phenotypes characteristic of a mesenchymal cell program. The mesenchymal subtype is the most aggressive among the molecular GBM subtypes. Recurrent GBM have been reported to transition to mesenchymal. We therefore sought to test the hypothesis that stiffer microenvironments—such as those found in different brain anatomical structures and induced following treatment—contribute to the expression of markers characterising the mesenchymal subtype. We cultured primary patient-derived cell lines that reflect the three common GBM subtypes (mesenchymal, proneural and classical) on polyacrylamide (PA) hydrogels with controlled stiffnesses spanning the healthy and pathological tissue range. We then assessed the canonical mesenchymal markers Connective Tissue Growth Factor (CTGF) and yes-associated protein (YAP)/transcriptional co-activator with PDZ-binding motif (TAZ) expression, via immunofluorescence. Replating techniques and drug-mediated manipulation of the actin cytoskeleton were utilised to ascertain the response of the cells to differing mechanical environments. We demonstrate that CTGF is induced rapidly following adhesion to a rigid substrate and is independent of actin filament formation. Collectively, our data suggest that microenvironmental rigidity can stimulate expression of mesenchymal-associated molecules in GBM.

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Section: Resultsmentioning

confidence: 99%

Mechanosensitive expression of the mesenchymal subtype marker connective tissue growth factor in glioblastoma

Grundy

Orcheston-Findlay

Silva

et al. 2022

Sci Rep

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“…As marching cube algorithm is the most successful isosurface extraction algorithm which is simple to implement, 28 to detect and separate bones from other tissues in the data, a marching cube algorithm is used in this work. Marching cube uses a threshold value to extract an isosurface from a 3D scalar value dataset.…”

Section: Methodsmentioning

confidence: 99%

Image processing methodology for patient‐specific instrument design

Sadeghi

Keçeci

2020

Robotics Computer Surgery

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Background: Patient-specific instrumentation (PSI) improves accuracy of surgical operations. PSI needs software for preoperative planning and instrument design. In this study, we explain the methodology of developing a software tool for PSI guide design and preoperative planning in reverse shoulder arthroplasty (RSA). Methods: Approaches used to prepare input data, transform them into meaningful features and use of those features to create special guide geometries are explained by describing different algorithms and libraries. Results: The developed software is tested on three different patients' data. Preoperative planning is performed and guides designed by software and the patients' bones are manufactured and tested for RSA. The method of building a software is presented to do the preoperative planning and designing specific guides for each patient are shown to be properly functional. Conclusions: This study proves processes in the development of the PSI software and the design of a specific guide for RSA.

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“…Unlike a previous review on biomedical visualization techniques [ 9 ], our overview covers advanced visual analysis methods for medical images that are arranged based on a taxonomy of medical problems from individuals to populations (Section 4 ) and also includes advances in fundamental visualization methods (Section 3 ). This paper also features an overview of techniques that could improve spatial perception, which is vital for the understanding of medical images in 3D.…”

Section: Scopementioning

confidence: 99%

A Review of Three-Dimensional Medical Image Visualization

et al. 2022

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Importance. Medical images are essential for modern medicine and an important research subject in visualization. However, medical experts are often not aware of the many advanced three-dimensional (3D) medical image visualization techniques that could increase their capabilities in data analysis and assist the decision-making process for specific medical problems. Our paper provides a review of 3D visualization techniques for medical images, intending to bridge the gap between medical experts and visualization researchers. Highlights. Fundamental visualization techniques are revisited for various medical imaging modalities, from computational tomography to diffusion tensor imaging, featuring techniques that enhance spatial perception, which is critical for medical practices. The state-of-the-art of medical visualization is reviewed based on a procedure-oriented classification of medical problems for studies of individuals and populations. This paper summarizes free software tools for different modalities of medical images designed for various purposes, including visualization, analysis, and segmentation, and it provides respective Internet links. Conclusions. Visualization techniques are a useful tool for medical experts to tackle specific medical problems in their daily work. Our review provides a quick reference to such techniques given the medical problem and modalities of associated medical images. We summarize fundamental techniques and readily available visualization tools to help medical experts to better understand and utilize medical imaging data. This paper could contribute to the joint effort of the medical and visualization communities to advance precision medicine.

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Biomedical Visualization

Cited by 5 publications

References 113 publications

Mechanosensitive expression of the mesenchymal subtype marker connective tissue growth factor in glioblastoma

Mechanosensitive expression of the mesenchymal subtype marker connective tissue growth factor in glioblastoma

Image processing methodology for patient‐specific instrument design

A Review of Three-Dimensional Medical Image Visualization

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