scholarly journals Head and Neck Auto Segmentation Challenge based on Non-Local Generative Models

2016 ◽  
Author(s):  
Mauricio Orbes Arteaga ◽  
David Cardenas Peña ◽  
Germán Castellanos Dominguez
Keyword(s):  
Head And Neck ◽  
Optic Chiasm ◽  
Ct Images ◽  
Generative Models ◽  
The Other ◽  
Fusion Method ◽  
Probabilistic Criterion ◽  
Label Fusion ◽  
Non Local ◽  
Generative Approach

A new patch based label fusion method based on generative approach is proposed for segmentation of mandible, brainstem, parotid and submandibular glands, optic nerves and the optic chiasm in head and neck CT images. The proposal constructs local classifiers from a dictionary of patches and weights their contribution using a generative probabilistic criterion. Also, a gaussian slide window is used to weight the multiples estimations of neighboring voxels. The proposed method was evaluated on a set of 15 CT images (10 off-site and 5 onsite) provided by the organizers of the Head and neck Auto-Segmentation challenge(MICCAI 2015), where the obtained results are comparable to many of the other methods used in the challenge.

scholarly journals Head and Neck Auto Segmentation Challenge based on Non-Local Generative Models

2016 ◽  
Author(s):  
Mauricio Orbes Arteaga ◽  
David Cárdenas Peña ◽  
German Castellanos Dominguez
Keyword(s):  
Head And Neck ◽  
Optic Chiasm ◽  
Ct Images ◽  
Generative Models ◽  
The Other ◽  
Fusion Method ◽  
Probabilistic Criterion ◽  
Label Fusion ◽  
Non Local ◽  
Generative Approach

A new patch based label fusion method based on generative approach is proposed for segmentation of mandible, brainstem, parotid and submandibular glands, optic nerves and the optic chiasm in head and neck CT images. The proposal constructs local classifiers from a dictionary of patches and weights their contribution using a generative probabilistic criterion. Also, a gaussian slide window is used to weight the multiples estimations of neighboring voxels. The proposed method was evaluated on a set of 15 CT images (10 off-site and 5 onsite) provided by the organizers of the Head and neck Auto-Segmentation challenge(MICCAI 2015), where the obtained results are comparable to many of the other methods used in the challenge.

scholarly journals A Multi-atlas Approach for the Automatic Segmentation of Multiple Structures in Head and Neck CT Images

2016 ◽  
Author(s):  
Antong Chen ◽  
Benoit Dawant
Keyword(s):  
Head And Neck ◽  
Local Level ◽  
Automatic Segmentation ◽  
Ct Images ◽  
Training Dataset ◽  
Parotid Glands ◽  
Label Fusion ◽  
Qualitative And Quantitative ◽  
Segmentation Accuracy ◽  
Multiple Structures

A multi-atlas approach is proposed for the automatic segmentation of nine different structures in a set of head and neck CT images for radiotherapy. The approach takes advantage of a training dataset of 25 images to build average head and neck atlases of high-quality. By registering patient images with the atlases at the global level, structures of interest are aligned approximately in space, which allowed multi-atlas-based segmentations and correlation-based label fusion to be performed at the local level in the following steps. Qualitative and quantitative evaluations are performed on a set of 15 testing images. As shown by the results, mandible, brainstem and parotid glands are segmented accurately (mean volume DSC>0.8). The segmentation accuracy for the optic nerves is also improved over previously reported results (mean DSC above 0.61 compared with 0.52 for previous results).

SU-E-J-93: Assessment of Contour Fusion Method for Auto-Contouring of Head and Neck CT Images

2013 ◽  
Vol 40 (6Part8) ◽  
pp. 171-171
Author(s):  
A Larrue ◽  
T Kadir ◽  
M Gooding
Keyword(s):  
Head And Neck ◽  
Ct Images ◽  
Fusion Method

Landmark detection and localization for mobile robot applications: a multisensor approach

Robotica ◽  
2009 ◽  
Vol 28 (5) ◽  
pp. 663-673 ◽  
Author(s):  
Dilan Amarasinghe ◽  
George K. I. Mann ◽  
Raymond G. Gosine
Keyword(s):  
The Other ◽  
Laser Range Finder ◽  
Fusion Method ◽  
Range Finder ◽  
Landmark Detection ◽  
Laser Range ◽  
Localization And Mapping ◽  
Laser Data ◽  
Single Sensor ◽  
Detection And Localization

SUMMARYThis paper describes a landmark detection and localization using an integrated laser-camera sensor. Laser range finder can be used to detect landmarks that are direction invariant in the laser data such as protruding edges in walls, edges of tables, and chairs. When such features are unavailable, the dependant processes will fail to function. However, in many instances, larger number of landmarks can be detected using computer vision. In the proposed method, camera is used to detect landmarks while the location of the landmark is measured by the laser range finder using laser-camera calibration information. Thus, the proposed method exploits the beneficial aspects of each sensor to overcome the disadvantages of the other sensor. While highlighting the drawbacks and limitations of single sensor based methods, an experimental results and important statistics are provided for the verification of the affectiveness sensor fusion method using Extended Kalman Filter (EKF) based simultaneous localization and mapping (SLAM) as an example application.

scholarly journals Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images

2018 ◽  
Vol 45 (5) ◽  
pp. 2063-2075 ◽  
Author(s):  
Xuhua Ren ◽  
Lei Xiang ◽  
Dong Nie ◽  
Yeqin Shao ◽  
Huan Zhang ◽  
...  
Keyword(s):  
Head And Neck ◽  
Small Volume ◽  
Ct Images

Einstein, Bohm, Bell, and the Derivation of Bell’s Inequality

2020 ◽  
pp. 243-264
Author(s):  
Jim Baggott
Keyword(s):  
Quantum System ◽  
The State ◽  
The Other ◽  
Simple Test ◽  
Standard Quantum ◽  
Realistic Interpretation ◽  
David Bohm ◽  
Quantum Formalism ◽  
Quantum Particles ◽  
Non Local

By 1935, the Copenhagen interpretation had become the orthodoxy. Einstein needed to find a situation in which it is possible in principle to acquire knowledge of the state of a quantum system without disturbing it in any way. Working with two young theorists, Boris Podolsky and Nathan Rosen, Einstein devised an extraordinarily cunning challenge based on entangled particles. We can discover the state of one particle with certainty by making measurements on its entangled partner. All we have to assume is that the particles are local: any measurement we make on one in no way affects or disturbs the other. Through the work of David Bohm and John Bell, the challenge posed by EPR became accessible to experiment, and Bell devised a simple test for all locally realistic theories. All the experiments performed to date suggest that the standard quantum formalism is correct: in any realistic interpretation, quantum particles are non-local.

scholarly journals Limitation of mouth opening after radiotherapy for head and neck

2016 ◽  
Vol 64 (1) ◽  
pp. 24-29
Author(s):  
Rafael da Silva CAETANO ◽  
Paula Gabrielle de CASTRO ◽  
Paulo Henrique de Souza CASTRO ◽  
Alexandre Meireles BORBA ◽  
Álvaro Henrique BORGES ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Head And Neck ◽  
Mouth Opening ◽  
Vocal Folds ◽  
Tumor Location ◽  
The Other ◽  
Previous Surgery ◽  
Limited Mouth Opening ◽  
The Mean ◽  
Level Of Significance

ABSTRACT Objective: To evaluate the ability to open the mouth in patients undergoing radiotherapy for head and neck and the variables related to this limitation. Methods: 32 patients were evaluated six months after completion of radiotherapy sessions to treat cancer in the head and neck. The maximum mouth opening was measured using digital calipers and its association with gender, age, smoking, alcohol consumption, tumor location, chemotherapy and surgery were analyzed using the Mann-Whitney and Kruskal-Wallis tests at a level of significance of 95%. Results: The mean age of patients was 60.44 years; 87.5% were male; 81.2% were smokers; 65.6% regularly consumed alcohol. The average mouth opening was 43.17 mm and seven (21.9%) patients had trismus. The most common locations of the tumors were the tongue (31.3%) followed by the larynx and vocal folds with five (15.6%) each. No association was found between limited mouth opening and the other variables. Conclusion: In this sample, 21.9% of patients had trismus six months after completing radiotherapy. The variables gender, age, smoking habits and alcohol consumption, tumor location, previous surgery and adjunctive chemotherapy were not associated with limited mouth opening.

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