Image-based detection of Kayser-Fleischer ring in patient with Wilson Disease

In the paper the authors propose an image processing algorithm for detection of Kayser-Fleischer ring in eye cornea. This is a common symptom of a rare genetic disorder known as Wilson Disease. This pathology is cause of a malfunction in the copper excretion from the organism. So copper accumulates in tissues being responsible of oxidative processes in the organs affected. Copper deposit in the cornea is visible as a golden-brown, sometimes orange or greyish, pigmentation called Kayser-Fleischer ring. So it is considered a diagnostic sign of Wilson disease more than ever in individuals with neurological disorders. The proposed algorithm is based on an image processing approach. In detail, eye image is analyzed by means of a segmentation algorithm to detect the Kayser-Fleischer ring. The proposed screening method is non-invasive and automated. The innovative diagnostic tool aims to improve accuracy of actual methods used in practice. So the described technique reduces possible interpretation errors and assists doctor to diagnose the pathology.

[1]  Rosario Morello,et al.  A Smart ECG Measurement System Based on Web-Service-Oriented Architecture for Telemedicine Applications , 2010, IEEE Transactions on Instrumentation and Measurement.

[2]  Rosario Morello,et al.  A Wearable Measurement System for the Risk Assessment Due to Physical Agents: Whole Body Mechanical Vibration Injuries , 2010 .

[3]  Md M. Islam,et al.  Reduction of over segmentation in JSEG using canny edge detector , 2012, 2012 International Conference on Informatics, Electronics & Vision (ICIEV).

[4]  Navin Rajpal,et al.  Comparative study of image segmentation techniques and object matching using segmentation , 2009, 2009 Proceeding of International Conference on Methods and Models in Computer Science (ICM2CS).

[5]  H. Bachmann,et al.  The Kayser-Fleischer ring during long-term treatment in Wilson's disease (hepatolenticular degeneration) , 1986, Graefe's Archive for Clinical and Experimental Ophthalmology.

[6]  Rosario Morello,et al.  An Innovative Strategy for Correctly Interpreting Simultaneous Acquisition of EEG Signals and FMRI Images , 2013, IEEE Sensors Journal.

[7]  Chun-Wei Tan,et al.  Unified Framework for Automated Iris Segmentation Using Distantly Acquired Face Images , 2012, IEEE Transactions on Image Processing.

[8]  Subhas Chandra Mukhopadhyay,et al.  Wearable and Autonomous Biomedical Devices and Systems for Smart Environment: Issues and Characterization , 2010 .

[9]  Arianna Mencattini,et al.  An Iris detector for tumoral masses identification in mammograms , 2009, 2009 IEEE International Workshop on Medical Measurements and Applications.

[10]  M. Emre Celebi,et al.  Unsupervised border detection of skin lesion images , 2005, International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II.

[11]  Caballero Et,et al.  [Wilson's disease]. , 1965 .

[12]  T. Benhamla,et al.  [The onset of psychiatric disorders and Wilson's disease]. , 2007, L'Encephale.

[13]  Liana Stanescu,et al.  Medical image segmentation - a comparison of two algorithms , 2010, 2010 IEEE International Workshop on Medical Measurements and Applications.

[14]  Rosario Morello,et al.  A thermal energy balance model for hypotension prevention in hemodialysis , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[15]  Rosario Morello,et al.  Diffusion Tensor Imaging measurements for neuro-detection , 2012, 2012 IEEE International Symposium on Medical Measurements and Applications Proceedings.

[16]  Rosario Morello,et al.  Diagnosis of gastric disorders by non-invasive myoelectrical measurements , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[17]  Rosario Morello,et al.  A Virtual Assistant for Safety Measurements Evaluating the Worker Hand-Arm Exposure to Percussion Machines Vibration , 2007, 2007 IEEE Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems.

[18]  A. Athanassiou,et al.  New generation of optical robotic sensor applied to small notch detection , 2011, 2011 Fifth International Conference on Sensing Technology.

[19]  Jun Tang,et al.  A color image segmentation algorithm based on region growing , 2010, 2010 2nd International Conference on Computer Engineering and Technology.

[20]  A. Lay-Ekuakille,et al.  Improving automatic segmentation of tissue-targeted nanoparticles on echographic images , 2011, 2011 IEEE International Symposium on Medical Measurements and Applications.

[21]  Carmine Landi,et al.  Advanced Instrument For Field Calibration of Electrical Energy Meters , 2009, IEEE Transactions on Instrumentation and Measurement.

[22]  M. Fortún,et al.  [Wilson's disease]. , 1992, Revista espanola de enfermedades digestivas : organo oficial de la Sociedad Espanola de Patologia Digestiva.

[23]  F. Tortorella,et al.  Digital Processing of Diagnostic Images , 2010 .

[24]  Su Jc.  Kayser-Fleischer ring , 2008 .

[25]  Rosario Morello,et al.  Ocular Biometric Measurements to Diagnose Neurological Disorders Due to Wilson Disease , 2013, IEEE Sensors Journal.

[26]  C. De Capua,et al.  A Patient-Adaptive ECG Measurement System for Fault-Tolerant Diagnoses of Heart Abnormalities , 2007, 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007.

[27]  T. Benhamla,et al.  Mode d’entrée psychiatrique dans la maladie de Wilson : à propos d’un cas à début tardif , 2007 .

[28]  N. S. Santhosh,et al.  Severe neuropsychiatric presentation of Wilson's disease , 2011, Indian journal of psychiatry.

[29]  A. Meduri,et al.  A remote doctor for homecare and medical diagnoses on cardiac patients by an adaptive ECG analysis , 2009, 2009 IEEE International Workshop on Medical Measurements and Applications.

[30]  Rosario Morello,et al.  Uncertainty analysis in hemodynamic variables measurement for reliable diagnosis of Pulmonary Hypertension with non-invasive techniques , 2011, 2011 IEEE International Symposium on Medical Measurements and Applications.

[31]  Antonio Pietrosanto,et al.  Standard uncertainty evaluation in image-based measurements , 2004 .

[32]  Y. Reddy,et al.  Dominant psychiatric manifestations in Wilson's disease: A diagnostic and therapeutic challenge! , 2008, Journal of the Neurological Sciences.

[33]  C. Liguori,et al.  Evaluation of the Uncertainty of Edge Detector Algorithms , 2006, Proceedings of the 2006 IEEE International Workshop on Advanced Methods for Uncertainty Estimation in Measurement (AMUEM 2006).

[34]  B. Poornima,et al.  SEGMENTATION AND OBJECT RECOGNITION USING EDGE DETECTION TECHNIQUES , 2010 .

[35]  A. Pietrosanto,et al.  An automatic measurement system for the evaluation of carotid intima-media thickness , 2000, Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference [Cat. No. 00CH37066].

[36]  Rosario Morello,et al.  A Wireless Measurement System for Estimation of Human Exposure to Vibration During the Use of Handheld Percussion Machines , 2010, IEEE Transactions on Instrumentation and Measurement.

[37]  B. S. Manjunath,et al.  Unsupervised Segmentation of Color-Texture Regions in Images and Video , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[38]  Zhou Yue,et al.  Color-texture segmentation using JSEG based on Gaussian mixture modeling , 2006 .

[39]  Carmine Landi,et al.  Large bandwidth compensation of current transformers , 2009, 2009 IEEE Instrumentation and Measurement Technology Conference.

[40]  Francesco Lamonaca,et al.  Detection of the eye blinks for human's fatigue monitoring , 2012, 2012 IEEE International Symposium on Medical Measurements and Applications Proceedings.

[41]  F. Askari,et al.  Wilson's disease: clinical management and therapy. , 2005, Journal of hepatology.