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A Generic Framework of Integrating Segmentation and Registration

Jonghyun Park, Wanhyun Cho, Soonyoung Park, Junsik Lim, Soohyung Kim, Gueesang Lee
2009 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering  
On observing results, it can be seen that GA based tumor segmentation algorithm is capable of detecting the tumor points.  ...  We use the images in the MICCAI BRAT 2012 database [3], a well-known and recent public dataset, to do our experiments.  ...  In [4] , in order to segment and register multimodality rigid medical images, they have proposed both Bayes theory and a maximum likelihood framework with a DAEM algorithm.  ... 
doi:10.1109/bibe.2009.30 dblp:conf/bibe/ParkCPLKL09 fatcat:pn4ex7rlzzhghn6e744kdtasye

A Unifying Approach to Registration, Segmentation, and Intensity Correction [chapter]

Kilian M. Pohl, John Fisher, James J. Levitt, Martha E. Shenton, Ron Kikinis, W. Eric L. Grimson, William M. Wells
2005 Lecture Notes in Computer Science  
We present a statistical framework that combines the registration of an atlas with the segmentation of magnetic resonance images.  ...  In addition, we show that the approach performs better than similar methods which separate the registration and segmentation problems.  ...  Conclusion We have presented a statistical framework combining inhomogeneity estimation, atlas registration, and segmentation of MRI.  ... 
doi:10.1007/11566465_39 pmid:16685860 pmcid:PMC2784666 fatcat:t2xu5hsglratjgyljk7my35cbq

Lung Registration with Improved Fissure Alignment by Integration of Pulmonary Lobe Segmentation [chapter]

Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Heinz Handels
2012 Lecture Notes in Computer Science  
In this work, a novel approach is presented for integrated lobe segmentation and intensity-based registration aiming for a better alignment of the interlobular fissures.  ...  Accurate registration of human lungs in CT images is required for many applications in pulmonary image analysis and used for example for atlas generation.  ...  In Section 2.3, these methods are then integrated in a joint framework.  ... 
doi:10.1007/978-3-642-33418-4_10 fatcat:uhri6hmqlvayll5crytmwq6clm

Development of a pulmonary imaging biomarker pipeline for phenotyping of chronic lung disease

2018 Journal of Medical Imaging  
Guo is currently supported by a postdoctoral fellowship from the Natural Sciences and Engineering Research Council of Canada (NSERC). Capaldi was supported by an NSERC doctoral scholarship.  ...  Parraga gratefully acknowledges funding from a Canadian Institutes of Health Research Team Grant CIF #97687 (Thoracic Imaging Network of Canada).  ...  Our biomarker tool and framework integrates a series of validated high-performance image processing and analysis algorithms, and automatically generates these biomarker measurements with minimal user interactions  ... 
doi:10.1117/1.jmi.5.2.026002 pmid:29963580 fatcat:amz6xs6uvvdyjhxtokoaug6mzm

Registration and Modeling From Spaced and Misaligned Image Volumes

Adeline Paiement, Majid Mirmehdi, Xianghua Xie, Mark C. K. Hamilton
2016 IEEE Transactions on Image Processing  
ACKNOWLEDGMENTS The CT-scans datasets used in the experiments were from the Laboratory of Human Anatomy and Embryology, University of Brussels (ULB), Belgium. 6 . see Section 3.4 of [21]  ...  Proposed Integrated Registration, Segmentation, and Interpolation The integration of this registration method with the segmentation and shape interpolation framework of [1] is performed by providing  ...  This new registration method will be integrated in the segmentation and shape interpolation framework of [1] in Section 3.4.  ... 
doi:10.1109/tip.2016.2586660 pmid:27390176 fatcat:r34mrjs7pzgn5fbd53bmpekyna

Registration-Guided Deep Learning Image Segmentation for Cone Beam CT-based Online Adaptive Radiotherapy [article]

Lin Ma, Weicheng Chi, Howard E. Morgan, Mu-Han Lin, Mingli Chen, David Sher, Dominic Moon, Dat T. Vo, Vladimir Avkshtol, Weiguo Lu, Xuejun Gu
2021 arXiv   pre-print
To overcome these obstacles to online CBCT segmentation, we propose a registration-guided DL (RgDL) segmentation framework that integrates image registration algorithms and DL segmentation models.  ...  The resulting segmentation accuracy and efficiency show the promise of applying RgDL framework for online ART.  ...  To our knowledge, this RgDL framework is the first one that synergistically integrates image registration and DL segmentation model for HN OAR segmentation in online ART.  ... 
arXiv:2108.08731v1 fatcat:sulf6g2afzdu3gzuco7jtr6u6q

A Framework to Visualize and Interact with Multimodal Medical Images [chapter]

Isabel Manssour, Sérgio Furuie, Luciana Nedel, Carla Freitas
2001 Eurographics  
This paper describes a framework for interactive multimodal visualization of 3D medical images, focusing on the multimodal visualization model and the requirements and open issues for the development of  ...  A short overview of multimodal visualization systems and techniques is also presented.  ...  Acknowledgements -We would like to thank all the staff of our lab involved on the development and implementation of the framework classes, Marcelo Rodrigo Silva for the RENDERVOX images, Anderson Maciel  ... 
doi:10.1007/978-3-7091-6756-4_27 fatcat:5znvtnt73bh6xira7d6r26hx5q

Machine Learning Enabled Brain Segmentation for Small Animal Neuroimaging Registration

Hendrik Klug, Berkan Lafci, Zhiva Skachokova, Markus Rudin, Horea-Ioan Ioanas
2021 Zenodo  
Poster for the EMIM 2021 presentation of "Machine Learning Enabled Brain Segmentation for Small Animal Neuroimaging Registration".  ...  The FOSS distribution model [4] for the classifier, workflow, and the article, allows users to easily take advantage of the library and reexecure the steps described herein.  ...  The brain extraction classifier is trained with data that is preprocessed by the SAMRI Generic registration workflow such that large data collections can be leveraged with no manual labeling required.  ... 
doi:10.5281/zenodo.5226214 fatcat:l3rnk2cmzjegdhqhcd4bmu67ya

Automatic Generation of Statistical Pose and Shape Models for Articulated Joints

Xin Chen, Jim Graham, Charles Hutchinson, Lindsay Muir
2014 IEEE Transactions on Medical Imaging  
We present a novel framework for simultaneous registration and segmentation of multiple 3D (CT or MR) volumes of different subjects at various articulated positions.  ...  The framework starts with a pose model generated from 3D volumes captured at different articulated positions of a single subject (template).  ...  can be generated via integrated segmentation and registration methods  ... 
doi:10.1109/tmi.2013.2285503 pmid:24132008 fatcat:klta35thcndavjqdns3xq2tgpi

USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images

Nicholas A. Lord, Jeffrey Ho, Baba C. Vemuri
2007 2007 IEEE 11th International Conference on Computer Vision  
Image smoothing, segmentation and registration are three key processing steps in many computer vision applications.  ...  The proposed method ensures that the estimated registration is unbiased and all compositions of registration maps are compatible.  ...  In recent years, we have seen a similar framework arise for segmentation and registration. Yezzi et al.  ... 
doi:10.1109/iccv.2007.4408969 dblp:conf/iccv/LordHV07 fatcat:onztmqqdgvhphgb662hel7ip3e

A Framework of Whole Heart Extracellular Volume Fraction Estimation for Low-Dose Cardiac CT Images

Xinjian Chen, Marcelo S. Nacif, Songtao Liu, Christopher Sibley, Ronald M. Summers, David A. Bluemke, Jianhua Yao
2012 IEEE Transactions on Information Technology in Biomedicine  
First, a shape constrained graph cut (GC) method was proposed for myocardium and blood pool segmentation on post-contrast image.  ...  ECV is altered in conditions of increased myocardial fibrosis. A framework consisting of three main steps was proposed for CCT whole heart ECV estimation.  ...  Acknowledgments This research was supported in part by the Intramural Research Program of the Clinical Center, NIH.  ... 
doi:10.1109/titb.2012.2204405 pmid:22711778 pmcid:PMC3491075 fatcat:av6gifjoqfc7ledx3px56f6cii

Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces [article]

Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu
2019 arXiv   pre-print
We present a probabilistic generative model and derive an unsupervised learning-based inference algorithm that uses insights from classical registration methods and makes use of recent developments in  ...  We demonstrate our method on a 3D brain registration task for both images and anatomical surfaces, and provide extensive empirical analyses of the algorithm.  ...  Acknowledgments This research was funded by NIH grants R01LM012719, R01AG053949, and 1R21AG050122, and NSF NeuroNex Grant grant 1707312.  ... 
arXiv:1903.03545v1 fatcat:vj5p2umwobev7mfscv4btjbrmy

Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps [article]

Dwarikanath Mahapatra
2020 arXiv   pre-print
We propose a novel approach of combining segmentation information in a registration framework using self supervised segmentation feature maps extracted using a pre-trained segmentation network followed  ...  Registration is an important part of many clinical workflows and factually, including information of structures of interest improves registration performance.  ...  Registration using Segmentation Maps Our primary contribution is the integration of segmentation features, generated in a self-supervised manner, into a deep learning based registration framework.  ... 
arXiv:2007.02078v1 fatcat:3tpxzwvm5bcmplk5vvetirgad4


Niketa D. Dhole .
2014 International Journal of Research in Engineering and Technology  
This paper, introduces a registration framework ready to preserve the topology and to alter the big form variability of the heart.  ...  The core of our framework relies on two contributions extending this segmentation-propagation frameworks, namely a locally Affine Registration technique (LARM) a new algorithm has been proposed for inverting  ...  CONCLUSIONS AND FUTURE WORK In this paper, a registration based integrated framework for heart image segmentation and Disease detection is presented.  ... 
doi:10.15623/ijret.2014.0305116 fatcat:wkwjsvlqaraprij6jrbx6ksqbe

3D Fusion Framework for Infarction and Angiogenesis Analysis in a Myocardial Infarct Minipig Model

Xu Zhenzhen, Bo Tao, Yu Li, Jun Zhang, Xiaochao Qu, Feng Cao, Jimin Liang
2017 Molecular Imaging  
In this study, a 3D fusion framework is designed to integrate coronary computed tomography (CT) angiography (CTA), 2-deoxy-2-[ 18 F]fluoro-D-glucose ([ 18 F]DG) positron emission tomography (PET)/CT, and  ...  First, the structural anatomy of the heart in coronary CTA and CT is segmented using a multi-atlas-based method. Then, the hearts are registered using the B-spline-based free form deformation.  ...  The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.  ... 
doi:10.1177/1536012117708735 pmid:28654385 pmcid:PMC5470135 fatcat:zp64t2pjx5elnl3vw6lj2ibqxy
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