Marching cubes algorithm for big datasets / by Eow, Dick Shern, 1994- , author, Siti Mariyam Shamsuddin, supervisor, Fakulti Komputeran

Marching cubes algorithm for big datasets / by Eow, Dick Shern, 1994- , author

Three-dimensional soft tissue landmark detection with marching cube algorithm by Yoonjung Lee, Ji-Min Lee, Sun-Hyung Park, Yoon Jeong Choi, Sung-Hwan Choi, Jae Joon Hwang, Hyung-Seog Yu

“…To overcome this limitation, the present study aimed to introduce a new method of analyzing soft tissue data reconstructed by marching cube algorithm (Program S) and compare it with a commercially available program (Program A). …”
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Author Correction: Three-dimensional soft tissue landmark detection with marching cube algorithm by Yoonjung Lee, Ji-Min Lee, Sun-Hyung Park, Yoon Jeong Choi, Sung-Hwan Choi, Jae Joon Hwang, Hyung-Seog Yu

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rupMC: a ray-unit parallel marching cubes algorithm on CPU/GPU heterogeneous architectures by Xue Yang, Shuo Yun, Qingfeng Guan, Huan Gao

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An extended triangulation to the Marching Cubes 33 algorithm by Lis Custodio, Sinesio Pesco, Claudio Silva

“…Abstract The Marching Cubes algorithm is arguably the most popular isosurface extraction algorithm. …”
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Development of 3D image reconstruction based on untracked 2D fetal phantom ultrasound images using VTK by Hafizah, Mahani, Tan, Kok, Eko, Supriyanto

“…From the result also, it can be concluded that the marching cube algorithm can give a better result compare to contour filtering where marching cubes algorithm can generate higher intensity 3D image which can make user easy to detect inner part and edges of 3D images. …”

3D Reconstruction of NMR Images by Peter Izak, Milan Smetana, Libor Hargas, Miroslav Hrianka, Pavol Spanik

“…The main idea is based on marching cubes algorithm. For this task was chosen sophistication method by program Vision Assistant, which is a part of program LabVIEW.…”
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A Hybrid Method for 3D Reconstruction of MR Images by Loubna Lechelek, Sebastien Horna, Rita Zrour, Mathieu Naudin, Carole Guillevin

“…This method is based on a parallel Marching Cubes algorithm called Flying Edges (FE) and Multi-level Partition of Unity (MPU) implicits. …”
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Three dimensional visualization of histopathological data by Aleksandra Podwójcik

“…Then, two types of 3D models are created: 1) classical model with Marching Cubes algorithm and 2) the use Cloud of Points. …”
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3D ultrasound image reconstruction based on VTK by Hafizah, W. M., Tan, K, Eko, S.

“…Few sets of 2D images were taken with different number of slices and after some 2D image processing, 3D reconstruction is done by using surface rendering techniques by implementing marching cubes algorithm in Visual C++ 6.0 with Visualization Toolkit (VTK) toolbox. …”
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Craniofacial surgery simulation using volumetric object representations by Rana, Mohammad Azam, Setan, Halim, Majid, Zulkepli, Chong, Albert K.

“…The surfaces of soft tissue and hard tissue have been extracted from CT data using Marching Cubes algorithm and are rendered with surface based methods. …”
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Dense tracking, mapping and scene labeling using a depth camera by Andrés Alejandro Díaz-Toro, Lina María Paz-Pérez, Pedro Antonio Piniés-Rodríguez, Eduardo Francisco Caicedo-Bravo

“…For visualizing an explicit representation of the scene, the marching cubes algorithm is employed. The tracking, fusion, marching cubes, and object detection processes were implemented using commodity graphics hardware for improving the performance of the system. …”
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3D Shape Generation via Variational Autoencoder with Signed Distance Function Relativistic Average Generative Adversarial Network by Ebenezer Akinyemi Ajayi, Kian Ming Lim, Siew-Chin Chong, Chin Poo Lee

“…The polygon mesh surfaces are then produced via the marching cubes algorithm. The proposed 3D-VAE-SDFRaGAN is evaluated with the ShapeNet dataset. …”
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Automated Knee Bone Segmentation and Visualisation Using Mask RCNN and Marching Cube: Data From The Osteoarthritis Initiative by Rahul Patekar, Prashant Shukla Kumar, Hong-Seng Gan, Muhammad Hanif Ramlee

“…In the second stage, the segmented output from Mask R-CNN is fed as input to the Marching cube algorithm for the 3D reconstruction of knee subchondral bone. …”
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Automated knee bone segmentation and visualisation using mask RCNN and marching cube: Data from the osteoarthritis initiative by Patekar, Rahul, Kumar, Prashant Shukla, Gan, Hong-Seng, Ramlee, Muhammad Hanif

“…In the second stage, the segmented output from Mask R-CNN is fed as input to the Marching cube algorithm for the 3D reconstruction of knee subchondral bone. …”
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A Comprehensive Survey of Isocontouring Methods: Applications, Limitations and Perspectives by Keno Jann Büscher, Jan Philipp Degel, Jan Oellerich

“…Based on the literature, the following four dominant methods can be identified: the marching cubes algorithms, the tessellation-based algorithms, the surface nets algorithms and the ray tracing algorithms. …”
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Real-Time 3D Reconstruction Method for Holographic Telepresence by Fazliaty Edora Fadzli, Ajune Wanis Ismail, Shafina Abd Karim Ishigaki, Muhammad Nur Affendy Nor’a, Mohamad Yahya Fekri Aladin

“…Therefore the paper presents the processes in real-time 3D reconstruction, which consists of data acquisition, background removal, point cloud extraction, and a surface generation which applies a marching cube algorithm to finally form an isosurface from the set of points in the point cloud which later texture mapping is applied on the isosurface generated. …”
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Real-time 3D reconstruction method for holographic telepresence by Fadzli, Fazliaty Edora, Ismail, Ajune Wanis, Abd. Karim Ishigaki, Shafina, Nor’a, Muhammad Nur Affendy, Aladin, Mohamad Yahya Fekri

“…Therefore the paper presents the processes in real-time 3D reconstruction, which consists of data acquisition, background removal, point cloud extraction, and a surface generation which applies a marching cube algorithm to finally form an isosurface from the set of points in the point cloud which later texture mapping is applied on the isosurface generated. …”
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Automatic Bone Segmentation from MRI for Real-Time Knee Tracking in Fluoroscopic Imaging by Brenden Robert, Pierre Boulanger

“…A test set of 30 MRIs were segmented using the trained 2.5D U-Net and then converted into 3D mesh templates by using a marching cube algorithm. The resulting 3D mesh templates were compared to the 3D mesh model extracted from the corresponding labelled data from the augmented SKI10. …”
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