Výsledky vyhledávání - "Ketut Fundana"

Discontinuity Preserving Image Registration through Motion Segmentation: A Primal-Dual Approach

Autor: Tahir Majeed, Ketut Fundana, Philippe C. Cattin, Silja Kiriyanthan

Publikováno v: Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine, Vol 2016 (2016)

Image registration is a powerful tool in medical image analysis and facilitates the clinical routine in several aspects. There are many well established elastic registration methods, but none of them can so far preserve discontinuities in the displac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b60450de8f2a609c1a2493a9012808e1
https://pubmed.ncbi.nlm.nih.gov/27721897

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Automatic, Robust, and Globally Optimal Segmentation of Tubular Structures

Autor: Ketut Fundana, Philippe C. Cattin, Antal Horváth, Charidimos Tsagkas, Simon Pezold, Katrin Weier, Michaela Andělová, Michael Amann

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319467252
MICCAI (3)

We present an automatic three-dimensional segmentation approach based on continuous max flow that targets tubular structures in medical images. Our method uses second-order derivative information provided by Frangi et al.’s vesselness feature and e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fea07e39fa3ca54219211d2eeb44b1e1
https://doi.org/10.1007/978-3-319-46726-9_42

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Variational Segmentation of Image Sequences Using Region-Based Active Contours and Deformable Shape Priors

Autor: Anders Heyden, Niels Chr. Overgaard, Ketut Fundana

Publikováno v: International Journal of Computer Vision. 80:289-299

In this paper we address the problem of segmentation in image sequences using region-based active contours and level set methods. We propose a novel method for variational segmentation of image sequences containing nonrigid, moving objects. The metho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8caaaa4fe6cce3c4212668815ffa49ce
https://doi.org/10.1007/s11263-008-0160-6

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Automatic Segmentation of the Spinal Cord Using Continuous Max Flow with Cross-sectional Similarity Prior and Tubularity Features

Autor: Michael Amann, Michaela Andelova, Armanda Pfister, Till Sprenger, Simon Pezold, Ketut Fundana, Philippe C. Cattin

Publikováno v: Recent Advances in Computational Methods and Clinical Applications for Spine Imaging ISBN: 9783319141473

Segmenting tubular structures from medical image data is a common problem; be it vessels, airways, or nervous tissue like the spinal cord. Many application-specific segmentation techniques have been proposed in the literature, but only few of them ar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a5b56ff016f5bdd06998229cf71976d5
https://doi.org/10.1007/978-3-319-14148-0_10

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Histology to microCT data matching using landmarks and a density biased RANSAC

Autor: Natalia, Chicherova, Ketut, Fundana, Bert, Müller, Philippe C, Cattin

Publikováno v: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 17(Pt 1)

The fusion of information from different medical imaging techniques plays an important role in data analysis. Despite the many proposed registration algorithms the problem of registering 2D histological images to 3D CT or MR imaging data is still lar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::2234b530d5ed6bfc9cab91370ecbf980
https://pubmed.ncbi.nlm.nih.gov/25333124

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Histology to μCT Data Matching Using Landmarks and a Density Biased RANSAC

Autor: Natalia Chicherova, Bert Müller, Ketut Fundana, Philippe C. Cattin

Publikováno v: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 ISBN: 9783319104034
MICCAI (1)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0ec9ee4ebc5393bd4ee2d681aa8a8ab4
https://doi.org/10.1007/978-3-319-10404-1_31

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A Semi-automatic Method for the Quantification of Spinal Cord Atrophy

Autor: Till Sprenger, Michael Amann, Ernst Wilhelm Radue, Simon Pezold, Katrin Weier, Ketut Fundana, Philippe C. Cattin

Publikováno v: Lecture Notes in Computational Vision and Biomechanics ISBN: 9783319072685

Due to its high flexibility, the spinal cord is a particularly challenging part of the central nervous system for the quantification of nervous tissue changes. In this paper, a novel semi-automatic method is presented that reconstructs the cord surfa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5f7da5c1b074b05f82ac75f67f60a329
https://doi.org/10.1007/978-3-319-07269-2_13

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Graph Cut Segmentation Using a Constrained Statistical Model with Non-linear and Sparse Shape Optimization

Autor: Tahir Majeed, Jörg Beinemann, Silja Kiriyanthan, Ketut Fundana, Philippe C. Cattin

Publikováno v: Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging ISBN: 9783642366192
MCV

This paper proposes a novel segmentation method combining shape knowledge obtained from a constrained Statistical Model (SM) into the well known Markov Random Field (MRF) segmentation framework. The employed SM based on Probabilistic Principal Compon

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::33f1b1cf9737c2fcd4e8caa58958c8bf
https://doi.org/10.1007/978-3-642-36620-8_6

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A primal-dual approach for discontinuity preserving registration

Autor: Tahir Majeed, Silja Kiriyanthan, Ketut Fundana, Philippe C. Cattin

Publikováno v: ISBI

Image registration is a powerful tool in medical image analysis and facilitates the clinical routine in several aspects. There are many well established non-rigid registration methods, but those which are able to preserve discontinuities in the displ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f47aad8f0ae172cf7751be9be1caecf5
https://doi.org/10.1109/isbi.2012.6235556

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