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A Hybrid Method for Endocardial Contour Extraction of Right Ventricle in 4-Slices from 3D Echocardiography Dataset

Faten A. Dawood, Rahmita W. Rahmat, Suhaini B. Kadiman, Lili N. Abdullah, Mohd D. Zamrin
2014 Advances in Bioinformatics  
It has been done by comparing the segmentation results of RV cavity based on endocardial contour extraction with the ground truth.  ...  This paper presents a hybrid method to extract endocardial contour of the right ventricular (RV) in 4-slices from 3D echocardiography dataset. The overall framework comprises four processing phases.  ...  Ika Faizura (Consultant and Clinical Cardiologists in National Heart Institute, IJN, Malaysia) and Mrs. Norlaila Bt. Danuri (Cardiac Technician in Cardiology Unit, PPUKM  ... 
doi:10.1155/2014/207149 pmid:25371675 pmcid:PMC4209758 fatcat:m4lvb6ql3zcf7kelqwemxs67rm

Advances in automated tongue diagnosis techniques

Marzia Hoque Tania, Khin Lwin, Mohammed Alamgir Hossain
2018 Integrative Medicine Research  
various aspects of computerized tongue diagnosis, namely preprocessing, tongue detection, segmentation, feature extraction, tongue analysis, especially in traditional Chinese medicine (TCM).  ...  After exploring the algorithms used in tongue diagnosis, the current trend and global requirements in health domain motivates us to propose a conceptual framework for the automated tongue diagnostic system  ...  Acknowledgements The research work has been funded by Erasmus Mundus Partnerships Action 2 "FUSION" (Featured eUrope and South asIa mObility Network) project of Erasmus Mundus.  ... 
doi:10.1016/j.imr.2018.03.001 pmid:30949431 pmcid:PMC6428917 fatcat:6fivofags5be5hjffrua75jany

Automatic lumbar vertebra segmentation from clinical CT for wedge compression fracture diagnosis

Subarna Ghosh, Raja' S. Alomari, Vipin Chaudhary, Gurmeet Dhillon, Ronald M. Summers, Bram van Ginneken
2011 Medical Imaging 2011: Computer-Aided Diagnosis  
Since vertebral segmentation is the first step in any automated diagnosis task, we present a fully automated method for robustly localizing and segmenting the vertebrae for preparation of vertebral fracture  ...  Our segmentation results are promising with an average error of 1.5mm (modified Hausdorff distance metric) on 50 clinical CT cases i.e. a total of 250 lumbar vertebrae.  ...  ACKNOWLEDGEMENT The authors would like to thank Ruchika Mehresh (Phd Student, CSE, UB) for her help with the manual segmentation of the lumbar CT scans.  ... 
doi:10.1117/12.878055 dblp:conf/micad/GhoshACD11 fatcat:bhxunz5v3zdodjyikp56cvsam4

Heart chambers and whole heart segmentation techniques: review

Dongwoo Kang
2012 Journal of Electronic Imaging (JEI)  
In addition, we describe important clinical applications, imaging modalities, and validation methods used for cardiac segmentation.  ...  Computer-aided segmentation of cardiac images obtained by various modalities plays an important role and is a prerequisite for a wide range of cardiac applications by facilitating the delineation of anatomical  ...  Model-Fitting Techniques The model-fitting segmentation attempts to match a predefined geometric shape to the locations of the extracted image features of an image.  ... 
doi:10.1117/1.jei.21.1.010901 fatcat:44rwjcigqbdqzdfj7hiog4mddq

Content-Based Image Retrieval in Radiology: Current Status and Future Directions

Ceyhun Burak Akgül, Daniel L. Rubin, Sandy Napel, Christopher F. Beaulieu, Hayit Greenspan, Burak Acar
2010 Journal of digital imaging  
Diagnostic radiology requires accurate interpretation of complex signals in medical images.  ...  KEY WORDS: Content-based image retrieval, imaging informatics, information storage and retrieval, digital image management, decision support From the Electrical and Electronics Engineering Department,  ...  Accordingly, as a first step of geometric feature computation, a suitable shape representation should be extracted from the pixel intensity information by region-of-interest detection, segmentation, and  ... 
doi:10.1007/s10278-010-9290-9 pmid:20376525 pmcid:PMC3056970 fatcat:54efjsvb2vdxhecunbmv7pazei

Cardiac imaging: working towards fully-automated machine analysis & interpretation

Piotr J Slomka, Damini Dey, Arkadiusz Sitek, Manish Motwani, Daniel S Berman, Guido Germano
2017 Expert Review of Medical Devices  
Expert commentary-Fully-automated processing and high-level computer interpretation of cardiac imaging are becoming a reality.  ...  However, with each technological advance, we move further from human dependence and closer to fully-automated machine interpretation.  ...  Application of machine learning to cardiac image analysis Several applications of machine learning have been proposed for feature extraction and segmentation of cardiology images.  ... 
doi:10.1080/17434440.2017.1300057 pmid:28277804 pmcid:PMC5450918 fatcat:u2sta7rplbcd5nj54ao2nhgliu

Retinal Image Segmentation by using Gradient Descent Method

Pushpendra Kumar, Rekha Pandit, Vineet Richhariya
2014 International Journal of Computer Applications  
Localization and segmentation are important task in medical image analysis. As we know detection of optic nerves is also a major problem in automated retinal image analysis system.  ...  Image segmentation of medical image is very complex and crucial step, in this series segmentation of retinal image is more complex in comparison of others.  ...  The results from the SPF method were compared with conventional optic disk detection using an active contour model (ACM) and later verified with hand-drawn ground truth.  ... 
doi:10.5120/15018-3306 fatcat:hnccmlnc2bdcthblkwute7wud4

Extraction and Visualization of Ocular Blood Vessels in 3D Medical Images Based on Geometric Transformation Algorithm

Zhike Zhang, Shuixin Zhang, Hongyu Feng
2021 Journal of Healthcare Engineering  
Data extraction and visualization of 3D medical images of ocular blood vessels are performed by geometric transformation algorithm, which first performs random resonance response in a global sense to achieve  ...  The new method not only makes full use of the noise for weak signal detection and segmentation but also provides a new idea of how to achieve multilevel segmentation and recognition of medical images.  ...  model is used as a preprocessing step that may enhance the features of its segmented images, which can save segmentation time on the one hand and improve the segmentation accuracy on the other hand.  ... 
doi:10.1155/2021/5573381 doaj:badcf56707244c63bd8fe0b5fcf031a3 fatcat:f45wcy3uq5bg3dkavg7xsvme74

Health Evaluation Device Using Tongue Analysis Based on Sequential Image Analysis

Jessica Velasco, Technological University of the Philippines, Philippines
2019 International Journal of Advanced Trends in Computer Science and Engineering  
Its system framework comprises of: (1) image acquisition (2) image segmentation; (3) body and coat segmentation; (4) color classification and; (5) neural network.  ...  the patient is suffering from.  ...  Images below are taken by the employed lighting system. Image Segmentation One major concern in an automated tongue analysis is when the tongue body is automatically segmented from its background.  ... 
doi:10.30534/ijatcse/2019/19832019 fatcat:tiayeqr6dzgptjvq5jhp7qlody

Developing a generic approach to online automated analysis of writing and drawing tests in clinical patient profiling

M. C. Fairhurst, T. Linnell, S. Glénat, R. M. Guest, L. Heutte, T. Paquet
2008 Behavior Research Methods  
Writing and drawing tests are widely used in the clinical environment for the diagnosis of a variety of neuropsychological conditions.  ...  This article describes the development of a computer-based framework for data capture, automated feature analysis, and result reporting for a range of drawing-and writing-based test batteries.  ...  Figure 3 shows examples of geometric shapes drawn by neglect and asymptomatic patients. The omission of key components of the square and the cross is evident in the neglect responses.  ... 
doi:10.3758/brm.40.1.290 pmid:18411552 fatcat:fsrjwfjr7japdaqywcmjtxqwli

Electrocardiographic Imaging: Towards Automated Interpretation of Activation Maps [chapter]

Liliana Ironi, Stefania Tentoni
2005 Lecture Notes in Computer Science  
The salient features that characterize the heart electrical activity, and visually correspond to specific geometric patterns, are defined, extracted from the epicardial electrical data, and finally made  ...  The Spatial Aggregation (SA) approach can play a crucial role in the identification of patterns and salient features in the map, and in the long-term goal of delivering an automated map interpretation  ...  However, its introduction into the clinical practice is not yet at hand because the ability to both extract salient visual features from electrocardiographic maps and relate them to the underlying complex  ... 
doi:10.1007/11527770_45 fatcat:zxsuud4gdrc6phl3ulcekkcmay

Deep negative volume segmentation

Kristina Belikova, Oleg Y. Rogov, Aleksandr Rybakov, Maxim V. Maslov, Dmitry V. Dylov
2021 Scientific Reports  
For instance, automation of the segmentation task of the TMJ (temporomandibular joint) has been hindered by its compound three-dimensional shape, multiple overlaid textures, an abundance of surrounding  ...  the entire framework for clinical adoption.  ...  Acknowledgements Control of volume inflation and the optimization routine were developed under the support of the Russian Foundation for Basic Research, grant#21-51-12012.  ... 
doi:10.1038/s41598-021-95526-1 pmid:34381093 pmcid:PMC8357924 fatcat:t7bkwvkaovbljcz62fn3yaysdu

A Review of Algorithms for Segmentation of Retinal Image Data Using Optical Coherence Tomography [chapter]

Delia Cabrera
2011 Image Segmentation  
Model-fitting methods: These approaches usually fits a simple geometric shape such as an ellipse or parabola to the locations of extracted image features in an image (Pathak et al., 1998) .  ...  In particular, medical image segmentation extracts meaningful information and facilitate the display of this information in a clinically relevant way.  ... 
doi:10.5772/15833 fatcat:z5au7rekmrgkjhfzd7kpyl35ja

Determination of Osteoarthritis Using Histogram of Oriented Gradients and Multiclass SVM

Shivanand S. Gornale, Pooja U. Patravali, Kiran S. Marathe, Prakash S. Hiremath
2017 International Journal of Image Graphics and Signal Processing  
Osteoarthritis is regularly investigated from radiographic evaluation after clinical examination.  ...  Subsequently, in order to make diagnostic process more systematic and reliable, evolution of imaging based analysis for early recognition of Osteoarthritis is required.  ...  Any vague conclusion drawn from X-ray images of Osteoarthritis makes treatment troublesome and defective.  ... 
doi:10.5815/ijigsp.2017.12.05 fatcat:tz7udaxkmzfavh3735f2u5kmom

Intelligent Screening Systems for Cervical Cancer

Yessi Jusman, Siew Cheok Ng, Noor Azuan Abu Osman
2014 The Scientific World Journal  
Advent of medical image digitalization leads to image processing and computer-aided diagnosis systems in numerous clinical applications.  ...  Four stages of the computer system are enhancement, features extraction, feature selection, and classification reviewed in detail.  ...  Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper. Acknowledgment  ... 
doi:10.1155/2014/810368 pmid:24955419 pmcid:PMC4037632 fatcat:yzsg5kze6fadjpyfgiosecp52m
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