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Use of Microcomputed Tomography and Image Processing Tools in Medicinal and Aromatic Plants
Published in Amit Baran Sharangi, K. V. Peter, Medicinal Plants, 2023
Yogini S. Jaiswal, Yanling Xue, Tiqiao Xiao, Leonard L. Williams
After scanning of samples, the 2D images are reconstructed into 3D images. Reconstruction involves the creation of 3D datasets from the 2D projections. Reconstruction is also referred to as visualization. During the reconstruction process, every voxel is mapped, and from different angles, the projections of the same voxel are created. The mapping is carried out by using an algorithm that is inbuilt in the commercially available software. The algorithm used in such software is called the Feldkamp filtered back-projection algorithm. Several software is commercially available, and these include: General Electric, Datos, Avizo®, Amira, Solid works, Blender, Octopus Reconstruction, etc. Some software in addition to the inbuilt algorithm, provide modules which can be applied in various kinds of image analysis goals. The volumetric data are significantly different from a computer aided design (CAD) software and require high power computers for processing and storage.
Augmented Reality in Image-Guided Robotic Surgery
Published in Terry M. Peters, Cristian A. Linte, Ziv Yaniv, Jacqueline Williams, Mixed and Augmented Reality in Medicine, 2018
Wen Pei Liu, Russell H. Taylor
To create compelling depth perception in AR for surgery, Bichlmeier et al. (2007) demonstrated a novel design incorporating context awareness in a series of cadaveric and in vivo experiments conducted with a stereoscopic head-mounted display. In their study, they adjusted the transparency of the video images dynamically. Their algorithm was not only based on the position and line-of-sight of the observer, but also the shape of the patient’s skin and the location of the instrument. The modified video image of the real scene was then blended with the previously rendered virtual anatomy to create a much more natural blending of augmentation with overlay.
Precision medicine for brain gliomas
Published in Debmalya Barh, Precision Medicine in Cancers and Non-Communicable Diseases, 2018
Finally, a number of elements should be blended for big data to deliver on precision medicine. First, appropriate data sources must be available at scale, whether it is from research cohorts, health care systems, or dedicated biobanks. Second, the method of data collection must be robust, with technologies that extract viable measurements with sufficient precision and accuracy at high throughput. Third, a multidisciplinary team with complementary expertise in bioinformatics, statistics, software engineering, quality control, biological sample processing, and clinical medicine must be engaged in a collaborative framework, preferably across jurisdictional and institutional boundaries. Fourth, expert panels that collect and assimilate the information generated by these efforts must be able to distill it into actionable interventions for patient care. Finally, a body of educators must be convened to train both their peers and the next generation of health care practitioners to disseminate and implement these interventions, which can then be iteratively evaluated for public health impact.
Development of a navigable 3D virtual model of temporal bone anatomy
Published in Journal of Visual Communication in Medicine, 2023
Blender® (available for download at https://www.blender.org) is a free, open-source 3D creation suite that enables users to alter different characteristics of the 3D model across all three dimensions, allows 3D volume rendering, UV unwrapping, sculpting, and a lot more functions to enhance the output of the 3D model. Using Blender® (Version 2.79), annotations highlighting the key anatomical features of the temporal bone were added to the 3D virtual model. An extension of Blender®, Blend4web, was used to create a platform on a webpage where this model was embedded. Blend4Web CE is a free and fully-featured solution to creating open-source 3D web applications. A web page allows a more user-friendly, portable, and easily accessible interface for navigation and interaction with the model across all platforms and devices.
The transparent minds: methods of creation of 3D digital models from patient specific data
Published in Journal of Visual Communication in Medicine, 2022
Hana Pokojna, Caroline Erolin, Christopher Henstridge
An overall advantage was obtainability of the 3D digital patient-specific models. The software used were open-source or could be replaced with open-source software, making it cost-effective process. 3D Slicer 4.10.2 is a free segmentation software, Z-Brush 2020.1.1. can be replaced with open-source 3D modelling software, such as Blender 2.8 (https://www.blender.org; Community 2018), which also supports digital sculpting with similar tools as Z-Brush 202.1.1. Sketchfab offers a free uploading licence with fewer annotation options. The software was not difficult to use, but some degree of familiarity was required for segmentation, correction, post-processing, importing, and exporting the correct formats between platforms. This project was time-effective since it was done by a researcher familiar with technology and software used. The process can be easily learned by following the steps described in this paper.
Stress distribution is susceptible to the angle of the osteotomy in the high oblique sagittal osteotomy (HOSO): biomechanical evaluation using finite element analyses
Published in Computer Methods in Biomechanics and Biomedical Engineering, 2021
Herrera-Vizcaíno Carlos, Baselga Lahoz Marta, Pelliccioni Monrroy Orlando, Udeabor E Samuel, Robert Sader, Lukas Benedikt Seifert
To obtain the mesh, a computational model of a male jaw was obtained from the MyMiniFactory community (MyMiniFactory 2020). This model was generated by taking an MRI as reference using Blender software (v2.74; Blender Foundation). Subsequently, the model was imported into Autodesk ® Inventor ® (v2019; Autodesk, 2019) to be cut by the sagittal plane in order to minimize the computational load (Figure 2). The remaining mandibular half was divided at the level of the mandibular ramus, above the lower alveolar nerve by means of a parametric plane dependent on the input of the osteotomy angle. From this division, two bone sections corresponding to the mandibular ramus (proximal segment) and the mandibular body were configured and were assembled at variable setback and advancement distances using a Modus Orthognathic plate. The bone segments were restricted in their movements of all the axes, while the cortical screws attached to the plate were restricted in all their movements to the screw holes designed in the jaw. To generate a stable model, the condylar head was restricted in all its movements, simulating the restrictions during chewing condylar movements.