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Applying Distance Histogram to retrieve 3D cardiac medical models

Leila C C Bergamasco, Fátima L S Nunes
2013 AMIA Annual Symposium Proceedings  
Our aim is to apply a shape descriptor to retrieve three-dimensional cardiac models, obtained from a set of 2D slices, which were segmented and reconstructed from MRI images using their geometry information  ...  Preliminary results show that the shape deformation in 3D models can be a good indicator to detect Congestive Heart Failure, a very common heart disease.  ...  Methodology The Distance Histogram The Distance Histogram Descriptor [20] was chosen because it considers 3D model surface and geometry to compute the characteristics of a 3D model descriptor.  ... 
pmid:24551326 pmcid:PMC3900133 fatcat:wk7o6jwtazej3kbaodevjl2no4

3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks [article]

Mengwei Ren, Liang Niu, Yi Fang
2017 arXiv   pre-print
In this paper, powered with a novel design of adversarial networks (3D-A-Nets), we have developed a novel 3D deep dense shape descriptor (3D-DDSD) to address the challenging issues of efficient and effective  ...  Recently researchers have been shifting their focus towards learned 3D shape descriptors from hand-craft ones to better address challenging issues of the deformation and structural variation inherently  ...  tilayer dense representation (MDR) to extract concise but geometrically informative shape description and a novel design of adversarial networks that jointly train a set of convolution neural network (  ... 
arXiv:1711.10108v1 fatcat:7kctixmsuffq5avgdrfeyw6sr4

False Positive Reduction in Lung GGO Nodule Detection with 3D Volume Shape Descriptor

Ming Yang, Senthil Periaswamy, Ying Wu
2007 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  
This paper proposes a learning based method to reduce the number of false positives given by CG based on a new general 3D volume shape descriptor.  ...  The 3D volume shape descriptor is constructed by concatenating spatial histograms of gradient orientations, which is robust to large variabilities in intensity levels, shapes, and appearances.  ...  In this paper, we employ SVM classifier trained on a new general 3D shape descriptors based on limited assumptions that the shapes of the GGO nodules, i.e. the spatial distributions of gradient orientations  ... 
doi:10.1109/icassp.2007.366710 dblp:conf/icassp/YangPW07 fatcat:wdvq6rmo2jf27g7bazajlqodim

A New Partial 3D Object Indexing and Retrieval Approach Combining 2D slices and Apriori Algorithm

I.O. Taybi, T. Gadi, R. Alaoui
2020 Scientific Visualization  
The proposed partial 3D object indexing and retrieval method is applicable on both complete and incomplete 3D objects, which is based on a similarity measuring between 2D slices of 3D objects.  ...  The hypothesis in this context is that similar 3D objects will be composed of similar 2D slices.  ...  [5] introduced a new way to train an artificial neural network (ANN) with a histogram of characteristics (Shape index, dihedral angle, and shape diameter function), which are extracted directly from  ... 
doi:10.26583/sv.12.2.09 fatcat:4ivaeoi6aneebklayyyrqcn52y

Multi Voxel Descriptor for 3D Texture Retrieval

Hero Yudo Martono
2016 Emitter: International Journal of Engineering Technology  
In this paper, we present a new feature descriptors which exploit voxels for 3D textured retrieval system when models vary either by geometric shape or texture or both.  ...  This purposes to make all the 3D models have the same dimensions. Through this voxels, we can capture information from a number of ways.  ...  In this paper, we propose a new and effective 3D texture retrieval system which focus exploit voxels and generate some histogram such as biner voxel histogram, color voxel histogram, distance spectral  ... 
doi:10.24003/emitter.v4i1.110 fatcat:wwsl6ip3sbhx5odc75qfia6n3a

A Novel Partial 3D Object Retrieval Method Using Adaptive Slices Clustering

Ilyass Taybi, Hassan 1st University, Mohcine Bouksim, Rachid Alaoui, Taoufiq Gadi, Hassan 1st University, Mohammed V University, Hassan 1st University
2019 International Journal of Intelligent Engineering and Systems  
Then, we characterize each object by a set of 2D slices corresponding to its three principal axes, transforming the shape-matching problem between objects into similarity measuring between their slices  ...  The similarity measuring between 3D objects can be reduced to a distance between their descriptors.  ...  [10] proposed Shape Spectrum Descriptor (SSD); the proposed descriptor computes a histogram of shape index over the 3D object.  ... 
doi:10.22266/ijies2019.0228.25 fatcat:ofvjpt44znhf5jxiletpga4vxu

A classifier based approach for the detection of potential threats in CT based Baggage Screening

Najla Megherbi, Greg T. Flitton, Toby P. Breckon
2010 2010 IEEE International Conference on Image Processing  
Index Terms-Aviation security, 3D medical image segmentation, 3D Zernike descriptors, histogram of shape index, support vector machine.  ...  In this paper we present a research work on developing a system for automatic detection of potential threat items in cluttered 3D CT imagery originating from UBPS systems by combining 3D medical image  ...  In contrast to 3D Zernike descriptors, the shape index is derived from a surface mesh model [8] .  ... 
doi:10.1109/icip.2010.5653676 dblp:conf/icip/MegherbiFB10 fatcat:pdkh2yyf3za3ncmfppnkrb6txu

Sketch-based 3D Model Retrieval using Keyshapes for Global and Local Representation [article]

Jose M. Saavedra, Benjamin Bustos, Tobias Schreck, Sang Min Yoon, Maximiliam Scherer
2012 Eurographics Workshop on 3D Object Retrieval, EG 3DOR  
The global descriptors as well as the local descriptors rely on a set of keyshapes precomputed from 2D representations of 3D models and from the query sketch as well.  ...  Our results show a significant increase in precision for many classes of 3D models.  ...  HKO-KASD Approach A 3D model is transformed into a set of projections from different viewpoints.  ... 
doi:10.2312/3dor/3dor12/047-050 fatcat:mo5jm7uzi5ez7afghunntmvdkq

Image-Guided Analysis of Shoulder Pathologies: Modelling the 3D Deformation of the Subacromial Space during Arm Flexion and Abduction [chapter]

Alexandra Branzan Albu, Denis Laurendeau, Luc. J. Hébert, Hélène Moffet, Marie Dufour, Christian Moisan
2004 Lecture Notes in Computer Science  
The 3D reconstruction technique is based on morphological morphing between adjacent slices and on contour-based extrapolation of extreme slices.  ...  Model validation is a rather challenging task, since no direct access is possible to in vivo human bony structures of the shoulder complex.  ...  Acknowledgements This research was supported by a grant from Fonds de la Recherché en Santé-Québec. Innovmetric Software Inc. has kindly provided one license for Polyworks.  ... 
doi:10.1007/978-3-540-25968-8_22 fatcat:h6ogtds6czb75l2xl3rxyjsn5y

Surface feature detection and description with applications to mesh matching

Andrei Zaharescu, Edmond Boyer, Kiran Varanasi, Radu Horaud
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
We propose a 3D feature detector (MeshDOG) and a 3D feature descriptor (MeshHOG) for uniformly triangulated meshes, invariant to changes in rotation, translation, and scale.  ...  In this paper we revisit local feature detectors/descriptors developed for 2D images and extend them to the more general framework of scalar fields defined on 2D manifolds.  ...  Conclusion We have introduced MeshDOG and MeshHOG, a new 3D interest point detector and a new 3D descriptor, defined on uniformly sampled triangular meshes.  ... 
doi:10.1109/cvpr.2009.5206748 dblp:conf/cvpr/ZaharescuBVH09 fatcat:boyip5r76nfnlmcyqjhquw77wi

Surface feature detection and description with applications to mesh matching

A. Zaharescu, E. Boyer, K. Varanasi, R. Horaud
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
We propose a 3D feature detector (MeshDOG) and a 3D feature descriptor (MeshHOG) for uniformly triangulated meshes, invariant to changes in rotation, translation, and scale.  ...  In this paper we revisit local feature detectors/descriptors developed for 2D images and extend them to the more general framework of scalar fields defined on 2D manifolds.  ...  Conclusion We have introduced MeshDOG and MeshHOG, a new 3D interest point detector and a new 3D descriptor, defined on uniformly sampled triangular meshes.  ... 
doi:10.1109/cvprw.2009.5206748 fatcat:e653dwz7wvhlji44tmfen4ysei

Efficient similarity search on 3D bounding box annotations

Hans-Peter Kriegel, Marisa Petri, Matthias Schubert, Michael Shekelyan, Michael Stockerl, William W. Boonn, Brent J. Liu
2012 Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications  
In this paper, we propose a fast query pipeline for 3D similarity queries on large databases of computed tomography (CT) scans consisting of minimum bounding box annotations.  ...  necessity of a full segmentation step and thus, it works much faster.  ...  It is funded by the German Federal Ministry of Economics and Technology under the grant number 01MQ07020. The responsibility for this publication lies with the authors.  ... 
doi:10.1117/12.911292 fatcat:tjohp55vinffxn4lmc6mh4st6e

Local Color Voxel and Spatial Pattern for 3D Textured Recognition

Hero Yudo Martono
2017 International Journal on Advanced Science, Engineering and Information Technology  
3D textured retrieval including shape, color dan pattern is still a challenging research.  ...  Finally, a combination of local spectra and spatial and established global features approach called multi fourier descriptor are proposed.  ...  A.Tatsuma, M.Aono propose Multi Fourier Spectral Descriptor and Multiresolution Representation Local Binary Pattern Histogram (MRLBPH) which captured texture features of rendered image from a 3D model  ... 
doi:10.18517/ijaseit.7.2.2173 fatcat:nrd2wggtcbh73lkvqvu6oefxmu

One-Shot Learning for Real-Time Action Recognition [chapter]

Sean Ryan Fanello, Ilaria Gori, Giorgio Metta, Francesca Odone
2013 Lecture Notes in Computer Science  
The proposed method relies on descriptors based on 3D Histogram of Flow (3DHOF) and on Global Histogram of Oriented Gradient (GHOG); adaptive sparse coding (SC) is further applied to capture high-level  ...  The main contribution of the paper is a real-time system for one-shot action modeling; moreover we highlight the effectiveness of sparse coding techniques to represent 3D actions.  ...  We show that a combination of 3D Histograms of Flow (3DHOFs) and Global Histograms of Gradient (GHOGs) models satisfactorily human actions. 3D Histogram of Flow.  ... 
doi:10.1007/978-3-642-38628-2_4 fatcat:4ehvgwazsrcflcp2deyoydypjq

Reslicing axially sampled 3D shapes using elliptic Fourier descriptors

Yongwon Jeong, Richard J. Radke
2007 Medical Image Analysis  
We propose a new method that interpolates between parallel slices from a 3D shape for the purposes of reslicing and putting into correspondence organ shapes acquired from volumetric medical imagery.  ...  By interpolating the coefficients of elliptic Fourier descriptors for a set of parallel contours, a new set of slices can be directly generated at desired axial locations.  ...  Michael Lovelock of Memorial Sloan-Kettering Cancer Center for providing the prostate datasets and contours.  ... 
doi:10.1016/j.media.2006.12.003 pmid:17280865 fatcat:h7tnsoc7h5gufpdg74kqv4eyv4
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