A novel 3D shape descriptor for automatic retrieval of anatomical structures from medical images

2017 ◽  
Author(s):  
Fátima L. S. Nunes ◽  
Leila C. C. Bergamasco ◽  
Pedro H. Delmondes ◽  
Miguel A. G. Valverde ◽  
Marcel P. Jackowski
Keyword(s):  
Medical Images ◽  
Shape Descriptor ◽  
Anatomical Structures ◽  
3D Shape ◽  
Automatic Retrieval

scholarly journals 3D Shape Descriptor for Segmenting Point Cloud Data

2012 ◽  
Vol 30 (6_2) ◽  
pp. 643-651 ◽  
Author(s):  
So Young Park ◽  
Eun Jin Yoo ◽  
Dong-Cheon Lee ◽  
Yong Wook Lee
Keyword(s):  
Point Cloud ◽  
Shape Descriptor ◽  
Point Cloud Data ◽  
Cloud Data ◽  
3D Shape

scholarly journals A 3D shape descriptor based on spectral analysis of medial axis

2015 ◽  
Vol 39 ◽  
pp. 50-66 ◽  
Author(s):  
Shuiqing He ◽  
Yi-King Choi ◽  
Yanwen Guo ◽  
Xiaohu Guo ◽  
Wenping Wang
Keyword(s):  
Spectral Analysis ◽  
Medial Axis ◽  
Shape Descriptor ◽  
3D Shape

scholarly journals Nextmed: Automatic Imaging Segmentation, 3D Reconstruction, and 3D Model Visualization Platform Using Augmented and Virtual Reality

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2962 ◽  
Author(s):  
Santiago González Izard ◽  
Ramiro Sánchez Torres ◽  
Óscar Alonso Plaza ◽  
Juan Antonio Juanes Méndez ◽  
Francisco José García-Peñalvo
Keyword(s):  
Virtual Reality ◽  
3D Reconstruction ◽  
Medical Image ◽  
New Technologies ◽  
Medical Images ◽  
3D Visualization ◽  
Automatic Segmentation ◽  
Individual Case ◽  
Medical Professionals ◽  
Anatomical Structures

The visualization of medical images with advanced techniques, such as augmented reality and virtual reality, represent a breakthrough for medical professionals. In contrast to more traditional visualization tools lacking 3D capabilities, these systems use the three available dimensions. To visualize medical images in 3D, the anatomical areas of interest must be segmented. Currently, manual segmentation, which is the most commonly used technique, and semi-automatic approaches can be time consuming because a doctor is required, making segmentation for each individual case unfeasible. Using new technologies, such as computer vision and artificial intelligence for segmentation algorithms and augmented and virtual reality for visualization techniques implementation, we designed a complete platform to solve this problem and allow medical professionals to work more frequently with anatomical 3D models obtained from medical imaging. As a result, the Nextmed project, due to the different implemented software applications, permits the importation of digital imaging and communication on medicine (dicom) images on a secure cloud platform and the automatic segmentation of certain anatomical structures with new algorithms that improve upon the current research results. A 3D mesh of the segmented structure is then automatically generated that can be printed in 3D or visualized using both augmented and virtual reality, with the designed software systems. The Nextmed project is unique, as it covers the whole process from uploading dicom images to automatic segmentation, 3D reconstruction, 3D visualization, and manipulation using augmented and virtual reality. There are many researches about application of augmented and virtual reality for medical image 3D visualization; however, they are not automated platforms. Although some other anatomical structures can be studied, we focused on one case: a lung study. Analyzing the application of the platform to more than 1000 dicom images and studying the results with medical specialists, we concluded that the installation of this system in hospitals would provide a considerable improvement as a tool for medical image visualization.

A new sizing system based on 3D shape descriptor for morphology clustering

2017 ◽  
Vol 113 ◽  
pp. 683-692 ◽  
Author(s):  
Moez Hamad ◽  
Sébastien Thomassey ◽  
Pascal Bruniaux
Keyword(s):  
Shape Descriptor ◽  
3D Shape ◽  
Sizing System

Learning a discriminative deformation-invariant 3D shape descriptor via many-to-one encoder

2016 ◽  
Vol 83 ◽  
pp. 330-338 ◽  
Author(s):  
Guoxian Dai ◽  
Jin Xie ◽  
Fan Zhu ◽  
Yi Fang
Keyword(s):  
Shape Descriptor ◽  
3D Shape
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