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Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features
2016
IEEE Transactions on Biomedical Engineering
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Methods-We propose a Segmentation-guided Partially-joint Regression Forest (S-PRF) model to automatically digitize CMF landmarks. ...
Objective-The goal of this paper is to automatically digitize craniomaxillofacial (CMF) landmarks efficiently and accurately from cone-beam computed tomography (CBCT) images, by addressing the challenge ...
[19] , [20] developed a datadriven method to jointly estimate displacements from all patches to landmarks together, thus achieving remarkable accuracy on X-ray landmark detection and also intervertebral ...
doi:10.1109/tbme.2015.2503421
pmid:26625402
pmcid:PMC4879598
fatcat:bemcmqglvzgito5awpyccygmve
Optimizing boundary detection via Simulated Search with applications to multi-modal heart segmentation
2010
Medical Image Analysis
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For 3D rotational X-ray angiography images of the left atrium and pulmonary veins, the average error is 1.3 mm. ...
This method takes any boundary detection function and evaluates its performance for a single model landmark in terms of an estimated geometric boundary detection error. ...
clinical images, reference segmentations, and continuous feedback on our cardiac segmentation system. ...
doi:10.1016/j.media.2009.10.004
pmid:19931481
fatcat:mcoga6hbt5gt3e5l2jjqej6yhi
2014 Index IEEE Transactions on Medical Imaging Vol. 33
2014
IEEE Transactions on Medical Imaging
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., +, TMI Feb. 2014 566-576 Automatic Generation of Statistical Pose and Shape Models for Articulated Joints. ...
., +, TMI Feb. 2014 225-232
Automatic Generation of Statistical Pose and Shape Models for Articulated
Joints. ...
., 1969 -1985 Numerical Surrogates for Human Observers in Myocardial Motion Evaluation From SPECT Images. ...
doi:10.1109/tmi.2014.2386278
fatcat:poarfhfto5bm5mhfl7ugwtw4xy
Unified Tracking and Shape Estimation for Concentric Tube Robots
2017
IEEE Transactions on robotics
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By using concentric tube robots as an example, the proposed algorithm fuses information extracted from standard monoplane X-ray fluoroscopy with the kinematics model to achieve joint 2D tracking and 3D ...
Tracking and shape estimation of flexible robots that navigate through the human anatomy are prerequisites to safe intracorporeal control. ...
Shape estimation of a concentric tube robot is achieved in [28] by triangulating robot points that are segmented on stereo images acquired from biplanar X-ray fluoroscopy. ...
doi:10.1109/tro.2017.2690977
fatcat:thrnm26vdrberi3x5gcs3zgnq4
Robust guidewire tracking under large deformations combining segment-like features (SEGlets)
2017
Medical Image Analysis
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The displacement of the control points is typically driven by a data term and smoothed by a regularization term. ...
Robust tracking of interventional tools, such as guidewires and catheters, in X-ray fluoroscopic video sequences has a wide range of clinical applications for endovascular procedures. ...
Acknowledgment The authors would like to thank Dr Nicolas Honnorat for providing a C++ implementation of [Honnorat et al. (2011) ] and helping during the implementation of the guidewire tracking software ...
doi:10.1016/j.media.2017.02.001
pmid:28391062
fatcat:6jokntaolndlxknh6jcgs3tei4
A comparative study of face landmarking techniques
2013
EURASIP Journal on Image and Video Processing
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Face landmarking, defined as the detection and localization of certain characteristic points on the face, is an important intermediary step for many subsequent face processing operations that range from ...
The purpose of this survey is to give an overview of landmarking algorithms and their progress over the last decade, categorize them and show comparative performance statistics of the state of the art. ...
Thus the joint probability of the locations of the n landmarks, X = [ x 1 , . . . , x n ], given the vector of their local detector outputs, D =[ d 1 , . . . , d n ], that is P(X|D), is maximized. ...
doi:10.1186/1687-5281-2013-13
fatcat:7zyeo2sojza3lgs54qzqjmgbnm
Towards the Virtual Physiological Human
[article]
2007
Eurographics State of the Art Reports
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Human body representations have been used for centuries to help in understanding and documenting the shape and function of its compounding parts. ...
We will focus on the computer graphics aspects involved in medical modelling/ simulation: deformable model-based segmentation, mesh optimisation, data fusion, interactive mechanical simulation, cost-efficient ...
X-ray In classical X-ray volume rendering, a viewing ray is cast through the center of each pixel and the line integral of the intensity is evaluated along the given ray [ME04] . ...
doi:10.2312/egt.20071062
fatcat:iyybqfp4nnadhfkaeagp6qr63q
A fully automated trabecular bone structural analysis tool based on T2*-weighted magnetic resonance imaging
2012
Computerized Medical Imaging and Graphics
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In this paper an automated analysis tool, featuring bone marrow segmentation, region of interest generation, and characterization of cancellous bone of articular joints is presented. ...
In evaluation studies conducted at the knee joint the novel analysis tool significantly decreased the standard error of measurement and improved the sensitivity in detecting minor structural changes. ...
Their tool features registration and automatic bone segmentation utilizing the fused image data. ...
doi:10.1016/j.compmedimag.2011.07.006
pmid:21862288
pmcid:PMC3989537
fatcat:ogmmq4lrhbbldgjtan3qrozria
A combined local and global motion estimation and compensation method for cardiac CT
2014
Medical Imaging 2014: Physics of Medical Imaging
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During the deformation, the shape model is also constrained by an articulation model described by a set of auto-detected landmarks on the finger joints. ...
For or the purposes of a detection system, having all ground truth vessel shadow regions detected and verified is promising for use as landmarks for registration.
9034-4, Session 1 Automatic nipple detection ...
2 cm) in tens of minutes yielding images containing millions of spectra. Spectra are then automatically classified as one of seven cell-types in prostate tissue in a matter of seconds. ...
doi:10.1117/12.2043492
fatcat:fyzpc5m6jbh7fjohqpdmtzkhte
Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review
2019
Sensors
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utilize either 2D or 3D fluoroscopic images, and the last one utilizes the kinetic information about the joints and morphological information about the target bones. ...
This paper brings a comprehensive review of recent trends and possibilities of CAOS systems. ...
Conflicts of Interest: The authors of the paper declare that do not have any conflict of interest. ...
doi:10.3390/s19235199
pmid:31783631
pmcid:PMC6929084
fatcat:khnqsovppbh3rjo6mc35vttrw4
Artificial Intelligence in Surgery
[article]
2019
arXiv
pre-print
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Artificial Intelligence (AI) is gradually changing the practice of surgery with the advanced technological development of imaging, navigation and robotic intervention. ...
In this article, the recent successful and influential applications of AI in surgery are reviewed from pre-operative planning and intra-operative guidance to the integration of surgical robots. ...
Among existing imaging modalities, X-ray, CT, ultrasound and MRI are the most common ones used in practice. ...
arXiv:2001.00627v1
fatcat:dywtv6v36rgf3fummidyluy3zi
A Self-Contained 3D Biomechanical Analysis Lab for Complete Automatic Spine and Full Skeleton Assessment of Posture, Gait and Run
2021
Sensors
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By integrating baropodometric data, the model allows the estimation of lower limb net-joint forces, torques and muscle power. Net forces and torques are also assessed at intervertebral levels. ...
Quantitative functional assessment of Posture and Motion Analysis of the entire skeleton and spine is highly desirable. ...
Conflicts of Interest ...
doi:10.3390/s21113930
fatcat:64vtpx2ecrfivnqtadjzbvwlru
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises
[article]
2020
arXiv
pre-print
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It is known that the success of AI is mostly attributed to the availability of big data with annotations for a single task and the advances in high performance computing. ...
We conclude with a discussion and presentation of promising future directions. ...
to detect pneumonia in general, and subsequently finetuned on x-ray data from patients of a Dutch hospital in a COVID-19 hotspot. ...
arXiv:2008.09104v1
fatcat:z2gic7or4vgnnfcf4joimjha7i
Image processing and visualization
2012
International Journal of Computer Assisted Radiology and Surgery
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DSA Purpose One of the major factors determining the outcome of interventions in arteriovenous malformations (AVMs) is a pre-interventional diagnostic imaging. ...
areas as well as subcomponents with nidus, feeding and draining vessels is crucial for interdisciplinary treatment and efficacy of the therapy. ...
References Statistical shape models have been widely used for image segmentation and shape estimation from sparse sets of landmarks [1, 2] . ...
doi:10.1007/s11548-012-0715-4
fatcat:u7cs7t2dsfc5nkbqgbcpqtusxm
Image processing and visualization
2007
International Journal of Computer Assisted Radiology and Surgery
Preserved Fulltext
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The file type is application/pdf.
DSA Purpose One of the major factors determining the outcome of interventions in arteriovenous malformations (AVMs) is a pre-interventional diagnostic imaging. ...
areas as well as subcomponents with nidus, feeding and draining vessels is crucial for interdisciplinary treatment and efficacy of the therapy. ...
References Statistical shape models have been widely used for image segmentation and shape estimation from sparse sets of landmarks [1, 2] . ...
doi:10.1007/s11548-007-0086-4
fatcat:aq7pgpo4kzbwrj23aabybsxyxq
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