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A contextual maximum likelihood framework for modeling image registration

C. Wachinger, N. Navab
2012 2012 IEEE Conference on Computer Vision and Pattern Recognition  
We thank Sandy Wells for discussions.  ...  The second step, the feature description, has to represent the characteristics of the point within its local neighborhood. Frequently used image descriptors are e.g.  ...  We used the coupling terms in the proposed framework to derive optimal descriptors, as well as, to integrate the dynamic adaption of descriptors during the registration.  ... 
doi:10.1109/cvpr.2012.6247902 dblp:conf/cvpr/WachingerN12 fatcat:ctvjcynzo5ekvfkm6rgfhjp3wy

Classification of Biomedical Images using Counter Propagation Neural Network

Sangita A., Vijay R.
2018 International Journal of Computer Applications  
Comparison of other classification methods and application of image processing on the ultrasound images of are aimed to categorize the US images for medical diagnosis purpose to make accept/reject decisions  ...  In this paper, method for the segmentation, feature extraction & classification for ultrasonic biomedical images are proposed The method has been applied & implemented Some sets of descriptors corresponding  ...  INTRODUCTION Ultrasound imaging is an important medical image to diagnose the patient, but it contains speckle noise which occur when the coherent and non-coherent detector are used to interrogate a medium  ... 
doi:10.5120/ijca2018917714 fatcat:77b2yw5kn5d6zio4vr6jqjmw3a

Phantomless Auto-Calibration and Online Calibration Assessment for a Tracked Freehand 2-D Ultrasound Probe

Matthew Toews, William M. Wells
2018 IEEE Transactions on Medical Imaging  
Online calibration assessment can be performed at approximately 3Hz for US images of 640×480 pixels.  ...  This paper presents a method for automatically calibrating and assessing the calibration quality of an externally tracked 2D ultrasound (US) probe by scanning arbitrary, natural tissues, as opposed a specialized  ...  Fitting thus proceeds by identifying image-to-model correspondences independently for each new US image as follows: (1) Appearance descriptors from features extracted in the new image are matched to nearest  ... 
doi:10.1109/tmi.2017.2750978 pmid:28910761 pmcid:PMC5808952 fatcat:nkgc5yv35vd65jnqgxjwqvxeq4

A survey of traditional and deep learning-based feature descriptors for high dimensional data in computer vision

Theodoros Georgiou, Yu Liu, Wei Chen, Michael Lew
2019 International Journal of Multimedia Information Retrieval  
Keywords High dimensional · Computer vision · Feature descriptors · Deep learning Auto-encoders (AE) Auto-encoders are a collection of neural network methods based on unsupervised learning.  ...  Current approaches are frequently using 3D information from the sensor or are using 3D in modeling and understanding the 3D world.  ...  Acknowledgements This work is part of the research program DAMIOSO with project number 628.006.002, which is partly financed by the Netherlands Organization for Scientific Research (NWO) and partly by  ... 
doi:10.1007/s13735-019-00183-w fatcat:zhfms25yznfrjluvghrsyqup4a

Localizing target structures in ultrasound video – A phantom study

R. Kwitt, N. Vasconcelos, S. Razzaque, S. Aylward
2013 Medical Image Analysis  
The problem of localizing specific anatomic structures using ultrasound (US) video is considered.  ...  This involves automatically determining when an US probe is acquiring images of a previously defined object of interest, during the course of an US examination.  ...  Motivation There are several reasons why 2-D, B-mode ultrasound (US) imaging is one of the prevalent imaging modalities in today's medicine.  ... 
doi:10.1016/ pmid:23746488 pmcid:PMC3737575 fatcat:oflec4oswrbkdhriowldrqwq3i

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, Joint Coding of Local and Global Deep Features in Videos for Visual Search. Learned Fast HEVC Intra Coding.  ...  ., +, TIP 2020 7233-7244 Fusion of Magnetic Resonance and Ultrasound Images for Endometriosis Detection.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification

Luoyan Wang, Xiaogen Zhou, Xingqing Nie, Xingtao Lin, Jing Li, Haonan Zheng, Ensheng Xue, Shun Chen, Cong Chen, Min Du, Tong Tong, Qinquan Gao (+1 others)
2022 Frontiers in Neuroscience  
The multi-scale classification layer first obtains multi-scale feature maps in order to make full use of image features.  ...  After that, each skip-block propagates information at different scales to learn multi-scale features for image classification.  ...  In another study by Acharya et al. (2012) , integrated features include the following: local binary pattern, laws texture energy, Fourier descriptor, and Fourier spectrum descriptor, using ultrasound  ... 
doi:10.3389/fnins.2022.878718 pmid:35663553 pmcid:PMC9160335 fatcat:klkt4yz7sbeaneh5vpzbjuj6ja

Non-Rigid Registration for Infrared and Visible Images via Gaussian Weighted Shape Context and Enhanced Affine Transformation

Chaobo Min, Yan Gu, Feng Yang, Yingjie Li, Wenjun Lian
2020 IEEE Access  
At last, the derivative of the distance measure is expressed with respect to the EAT model and thus, the optimal parameters are estimated by using the quasi-Newton method.  ...  Firstly, a feature descriptor -Gaussian weighted shape context (GWSC) -is improved from shape context (SC) to fast extract matching point pairs from edge maps in IR and VIS images.  ...  In [30] and [31] , a joint graph of two images or shapes obtained by spectral decomposition was used for image matching and surface matching.  ... 
doi:10.1109/access.2020.2976767 fatcat:a4wkxfasandu3fwzjwap6astuu

A State-of-the-Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images

A. Katouzian, E. D. Angelini, S. G. Carlier, J. S. Suri, N. Navab, A. F. Laine
2012 IEEE Transactions on Information Technology in Biomedicine  
Over the past two decades, intravascular ultrasound (IVUS) image segmentation has remained a challenge for researchers while the use of this imaging modality is rapidly growing in catheterization procedures  ...  In this paper, we review recently developed image processing methods for the detection of media-adventitia and luminal borders in IVUS images acquired with different transducers operating at frequencies  ...  A radial search procedure was performed, optimizing an energy functional formulated as a weighted linear combination of an edge detector (first derivative of a Gaussian operator), an appearance feature  ... 
doi:10.1109/titb.2012.2189408 pmid:22389156 fatcat:5aolcwoyezdf5a6g2qhezdgiwa

A Review of Prevalent Methods for Automatic Skin Lesion Diagnosis

Damilola A Okuboyejo, Oludayo O Olugbara
2018 Open Dermatology Journal  
The analysis of medical imaging in fostering a good decision-making process for skin diagnosis is discussed in Section 3.  ...  A Review of Prevalent Methods The Open Dermatology Journal, 2018, Volume 12 15 This study reviews the state-of-the-art approaches for achieving an automated skin lesion image diagnosis.  ...  While future research most likely would continue to use the mixture of algorithms due to increasing success rate of such approaches, more efforts should be made towards optimizing these algorithms to reduce  ... 
doi:10.2174/187437220181201014 fatcat:73fywmwnwbfydea535vgmekram

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  
Traditionally, the LB-eigenfunctions are used as a basis for intrinsically representing surface shapes as a form of Fourier descriptors.  ...  speckle in ultrasound images.  ...  FTIR chemical imaging allows the spatial distribution of chemistry to be rapidly imaged at a high (diffraction limited) spatial resolution where a pixel represents an area of 5.5 ? 5.5 µm2 of tissue.  ... 
doi:10.1117/12.2043492 fatcat:fyzpc5m6jbh7fjohqpdmtzkhte

Deformable Medical Image Registration: A Survey

A. Sotiras, C. Davatzikos, N. Paragios
2013 IEEE Transactions on Medical Imaging  
The contribution of this paper is to provide an extensive account of registration techniques in a systematic manner.  ...  Deformable image registration is a fundamental task in medical image processing.  ...  [302] modeled each feature of each shape as GMM. A mixture model was used to represent the shape by assuming that features are independent and identically distributed.  ... 
doi:10.1109/tmi.2013.2265603 pmid:23739795 pmcid:PMC3745275 fatcat:svbac4wihzhylmlntlodzrmple

Efficient and robust model-to-image alignment using 3D scale-invariant features

Matthew Toews, William M. Wells
2013 Medical Image Analysis  
This paper presents feature-based alignment (FBA), a general method for efficient and robust model-to-image alignment. Volumetric images, e.g.  ...  Experiments involving difficult magnetic resonance (MR) images of the human brain demonstrate FBA achieves alignment accuracy similar to widely-used registration methods, while requiring a fraction of  ...  Domain-specific image features and alignment strategies can be used, e.g. specialized detectors for specific structures such as the midsagittal plane of the brain [12, 59] , bones [7] , branch points  ... 
doi:10.1016/ pmid:23265799 pmcid:PMC3606671 fatcat:23642cgtsrg2rmghgyugaaxfh4

CARS 2016—Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition Heidelberg, Germany, June 21–25, 2016

2016 International Journal of Computer Assisted Radiology and Surgery  
We would like to thank the Spanish company BQ for the donation of the 3D printing hardware for clinical use.  ...  Acknowledgments The authors wish to thank Fundación CEIBA and Alcaldía Mayor de Bogotá, for the financial support of Ricardo Mendoza's PhD studies through the scholarship program ''Becas Rodolfo Llinás  ...  We selected for evaluation 24 general-purpose image feature descriptors' algorithms (see Fig. 1 ).  ... 
doi:10.1007/s11548-016-1412-5 pmid:27206418 fatcat:uk5r46n2xvhedkfjzmeiweyneq

Ultrasound image segmentation: a survey

J.A. Noble, D. Boukerroui
2006 IEEE Transactions on Medical Imaging  
This paper reviews ultrasound segmentation methods, in a broad sense, focusing on techniques developed for medical -mode ultrasound images.  ...  Then, we present a classification of methodology in terms of use of prior information.  ...  copies of their papers which are discussed in the review or permission to use figures from their papers.  ... 
doi:10.1109/tmi.2006.877092 pmid:16894993 fatcat:wtt6igy2ozhjtbnsizi6qtosn4
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