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Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features

Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen
2016 IEEE Transactions on Biomedical Engineering  
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

J. Peters, O. Ecabert, C. Meyer, R. Kneser, J. Weese
2010 Medical Image Analysis  
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  
., +, 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

Alessandro Vandini, Christos Bergeles, Ben Glocker, Petros Giataganas, Guang-Zhong Yang
2017 IEEE Transactions on robotics  
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)

Alessandro Vandini, Ben Glocker, Mohamad Hamady, Guang-Zhong Yang
2017 Medical Image Analysis  
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

Oya Çeliktutan, Sezer Ulukaya, Bülent Sankur
2013 EURASIP Journal on Image and Video Processing  
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]

Nadia Magnenat-Thalmann, Benjamin Gilles, Hervé Delingette, Andrea Giachetti, Marco Agus
2007 Eurographics State of the Art Reports  
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

Markus Kraiger, Petros Martirosian, Peter Opriessnig, Frank Eibofner, Hansjoerg Rempp, Michael Hofer, Fritz Schick, Rudolf Stollberger
2012 Computerized Medical Imaging and Graphics  
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

Qiulin Tang, Beshan Chiang, Akinola Akinyemi, Alexander Zamyatin, Bibo Shi, Satoru Nakanishi, Bruce R. Whiting, Christoph Hoeschen
2014 Medical Imaging 2014: Physics of Medical Imaging  
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

Jan Kubicek, Filip Tomanec, Martin Cerny, Dominik Vilimek, Martina Kalova, David Oczka
2019 Sensors  
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]

Xiao-Yun Zhou, Yao Guo, Mali Shen, Guang-Zhong Yang
2019 arXiv   pre-print
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

Moreno D'Amico, Edyta Kinel, Gabriele D'Amico, Piero Roncoletta
2021 Sensors  
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]

S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2020 arXiv   pre-print
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  
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  
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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