Automatic needle localization in 3D ultrasound images for brachytherapy

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) ◽

10.1109/isbi.2018.8363787 ◽

2018 ◽

Author(s):

Hatem Younes ◽

Sandrine Voros ◽

Jocelyne Troccaz

Keyword(s):

3D Ultrasound ◽

Ultrasound Images ◽

Needle Localization

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A noise adaptive method for needle localization in 3D ultrasound images

2014 Iranian Conference on Intelligent Systems (ICIS) ◽

10.1109/iraniancis.2014.6802517 ◽

2014 ◽

Author(s):

Leila Malekian ◽

Heidar Ali Talebi ◽

Farzad Towhidkhah

Keyword(s):

3D Ultrasound ◽

Adaptive Method ◽

Ultrasound Images ◽

Needle Localization

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Segmentation of common and internal carotid arteries from 3D ultrasound images based on adaptive triple loss

Medical Physics ◽

10.1002/mp.15127 ◽

2021 ◽

Author(s):

Mingjie Jiang ◽

Yuan Zhao ◽

Bernard Chiu

Keyword(s):

Carotid Arteries ◽

Internal Carotid ◽

3D Ultrasound ◽

Ultrasound Images ◽

Internal Carotid Arteries

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Development and evaluation of a semiautomatic 3D segmentation technique of the carotid arteries from 3D ultrasound images

10.1117/12.348576 ◽

1999 ◽

Author(s):

Jeremy D. Gill ◽

Hanif M. Ladak ◽

David A. Steinman ◽

Aaron Fenster

Keyword(s):

Carotid Arteries ◽

3D Ultrasound ◽

Ultrasound Images ◽

3D Segmentation ◽

Segmentation Technique

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Comparison of 3D deformable models for in vivo measurements of mouse embryo from 3D ultrasound images

IEEE Ultrasonics Symposium, 2004 ◽

10.1109/ultsym.2004.1417830 ◽

2005 ◽

Author(s):

Bo Qiu ◽

P. Clarysse ◽

J. Montagnat ◽

M. Janier ◽

D. Vray

Keyword(s):

Mouse Embryo ◽

3D Ultrasound ◽

Deformable Models ◽

Ultrasound Images ◽

In Vivo Measurements

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Prostate boundary segmentation from 3D ultrasound images

Medical Physics ◽

10.1118/1.1586267 ◽

2003 ◽

Vol 30 (7) ◽

pp. 1648-1659 ◽

Author(s):

Ning Hu ◽

Dónal B. Downey ◽

Aaron Fenster ◽

Hanif M. Ladak

Keyword(s):

3D Ultrasound ◽

Ultrasound Images

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Accuracy of a semi-automatic technique for segmentation of the carotid arteries from 3D ultrasound images

Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. No.99CH37015) ◽

10.1109/iembs.1999.804312 ◽

2003 ◽

Author(s):

J.D. Gill ◽

H. Ladak ◽

D.A. Steinman ◽

A. Fenster

Keyword(s):

Carotid Arteries ◽

3D Ultrasound ◽

Ultrasound Images ◽

Automatic Technique

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Multiple Relaxation Time Lattice Boltzmann Models for Multigrid Phase-Field Segmentation of Tumors in 3D Ultrasound Images

SIAM Journal on Imaging Sciences ◽

10.1137/18m123462x ◽

2019 ◽

Vol 12 (3) ◽

pp. 1324-1346 ◽

Author(s):

Khac L. Nguyen ◽

Mohamed M. Tekitek ◽

Philippe Delachartre ◽

Michel Berthier

Keyword(s):

Relaxation Time ◽

Phase Field ◽

Lattice Boltzmann ◽

3D Ultrasound ◽

Ultrasound Images ◽

Multiple Relaxation Time ◽

Lattice Boltzmann Models

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Public database for validation of follicle detection algorithms on 3D ultrasound images of ovaries

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2020.105621 ◽

2020 ◽

Vol 196 ◽

pp. 105621

Author(s):

Božidar Potočnik ◽

Jurij Munda ◽

Milan Reljič ◽

Ksenija Rakić ◽

Jure Knez ◽

...

Keyword(s):

3D Ultrasound ◽

Ultrasound Images ◽

Public Database ◽

Detection Algorithms

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Segmentation of fetal envelope from 3D ultrasound images based on pixel intensity statistical distribution and shape priors

2013 IEEE 10th International Symposium on Biomedical Imaging ◽

10.1109/isbi.2013.6556652 ◽

2013 ◽

Author(s):

Sonia Dahdouh ◽

Antoine Serrurier ◽

Gilles Grange ◽

Elsa D. Angelini ◽

Isabelle Bloch

Keyword(s):

3D Ultrasound ◽

Statistical Distribution ◽

Ultrasound Images ◽

Shape Priors ◽

Pixel Intensity

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Non-rigid Registration of 3D Ultrasound Images Using Model-Based Segmentation

2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops ◽

10.1109/cvprw.2014.132 ◽

2014 ◽

Author(s):

Babak Matinfar ◽

Lyubomir Zagrochev

Keyword(s):

3D Ultrasound ◽

Ultrasound Images ◽

Rigid Registration ◽

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