CISAG

Cardiovascular Image and Signal Analysis Group

The main purpose of medical image analysis is the extraction of meaningful information to support disease diagnosis and therapy. Individual analysis algorithms are however rarely used standalone in clinical practice; usually multiple algorithms are integrated into dedicated clinical applications, together with a dedicated user interface and workflow. Research on clinical applications deals with the selection of the optimal combination of algorithms, their optimization and as much as possible automation for specific types of medical images and diseases, and the evaluation of their performance in an as realistic as possible clinical setting. In the IMAG/e group, clinical application research focuses amongst others on cardiovascular and neurological diseases, using magnetic resonance imaging (MRI) as the main imaging modality. MRI is a very flexible imaging technique, capable of visualizing multiple aspects of the human body including anatomy, morphology, function, and flow. Cardiac MRI analysis enables the study of abnormalities in the structure, contractile function, blood perfusion and tissue composition of the heart muscle, all important aspects used to diagnose heart disease and to select, plan and guide therapy. Research focuses on automatic segmentation (delineation) of all relevant heart structures needed to quantify heart shape and function, e.g. left-ventricular volume over time (see above picture). Furthermore, since the heart itself is a moving object, and since the complete heart may move due to breathing, image registration algorithms are often needed to compensate for the resulting motion. Another important research area is the comprehensive visualization of the multitude of quantitative analysis results, so that clinicians can easily relate them. The ultimate goal of medical image analysis applications is to improve the effectiveness and efficiency of patient care: better and faster diagnosis and therapy at acceptable cost.

Kermani S, Moradi MH, Abrishami-Moghaddam H, Saneei H, Marashi-Shoshtari MJ. 3D Point Wise Tracking of the Left Ventricle over Cardiac Image Sequences Using Active Mesh and Physical Models. J Appl Sci. 2008;8(24):4500–11.

Farahabadi E, Farahabadi A, Rabbani H, Mahjoob MP, Dehnavi AM. Noise removal from electrocardiogram signal employing an artificial neural network in wavelet domain. In: Information Technology and Applications in Biomedicine, 2009 ITAB 2009 9th International Conference on. IEEE; 2009. p. 1–4.

Kermani S, Moradi MH, Abrishami-Moghaddam H, Saneei H, Marashi MJ, Shahbazi-Gahrouei D. Quantitative analysis of left ventricular performance from sequences of cardiac magnetic resonance imaging using active mesh model. Comput Med Imaging Graph. Elsevier; 2009;33(3):222–34.

Akbary P, Rabbani H. Removing power line interference and ECG signal from EMG signal using matching pursuit. In: Signal Processing (ICSP), 2010 IEEE 10th International Conference on. IEEE; 2010. p. 1717–41.

Farahabadi E, Farahabadi A, Rabbani H, Dehnavi AM, Mahjoob MP. An entropy-based method for ischemia diagnosis using ECG signal in wavelet domain. In: Signal Processing (ICSP), 2010 IEEE 10th International Conference on. IEEE; 2010. p. 195–8.

Zeraatkar E, Kermani S, MehriDehnavi A, Aminzadeh A. Improving QRS detection for artifacts reduction. In: Biomedical Engineering (ICBME), 2010 17th Iranian Conference of. IEEE; 2010. p. 1–4.

Dehnavi ARM, Farahabadi I, Rabbani H, Farahabadi A, Mahjoob MP, Dehnavi NR. Detection and classification of cardiac ischemia using vectorcardiogram signal via neural network. J Res Med Sci. 2011;16(2).

Rabbani H, Mahjoob MP, Farahabadi E, Farahabadi A, Dehnavi AM. Ischemia detection by electrocardiogram in wavelet domain using entropy measure. J Res Med Sci. 2011;16(11).

Rabbani H, Mahjoob MP, Farahabadi E, Farahabadi A. R peak detection in electrocardiogram signal based on an optimal combination of wavelet transform, Hilbert transform, and adaptive thresholding. J Med Signals Sens. Medknow Publications; 2011;1(2):91.

Golabbakhsh M, Masoumzadeh M, Sabahi MF. ECG and power line noise removal from respiratory EMG signal using adaptive filters. Majlesi J Electr Eng. 2011;5(4).

Dehnavi AM, Fakhrpour A, Tavakoli MB, Nikoo MH. Investigation of the BNP level changes in blood stream in different modes and lead locations after pacemaker implementation. J Med Signals Sens. Medknow Publications; 2012;2(1):38.

Sina Hooshyar, Dr Saeed Kermani and Dr. Hamid Sanei
3D Coronary Vessel Segmentation in Computed Tomography Angiography Images
In Progress

Ghelich Oghli, Dr Saeed Kermani and Dr. Hamid Sanei
Automatic Diagnosis of ARVD on Cardiac MR Images
In Progress

Hossein Yosefi Banaem, Dr Saeed Kermani and Dr. Hamid Sanei
Extraction of Left ventricular wall Mechanical indexes using four-dimensional image analysis of MRI, based on a nonlinear Hyperelastic model
In Progress

Nasrin Bastani, Dr. Saeed Kermani, Dr. Raheleh Kafie and Dr. Hamid Sane
A Novel Hybrid Method of Atlas and Graph Cut Algorithm for Segmentation of Left ventricle in 4D Cardiac Magnetic Resonance images
In Progress

Asieh mirkazemi, Dr. Alireza Mehri Dehnavi
ECG and VCG signal feature extraction and their comparison and evaluation in healthy subjects
Finished

Hassan Khajehpour, Dr. Saeed Kermani, Dr. Mohamad Hashemi, Mahdi Karami MD
Heart Motion Estimation Using a Deformable Model and Multislice Computerized Tomography Images
Finished

Zahra Vahabi, Dr. Saeed Kermani
Desired Accuracy Estimation of Noise Function from ECG Signal by Fuzzy Approach
Finished

Elham Zeraatkar, Dr. Saeed Kermani, Dr. Alireza Mehridehnavi, Dr. Hamid Sanei
Arrhythmia Detection based on Morphological and Time-frequency Features of T-wave in Electrocardiogram
Finished

Dadashi Nasim, Dr. Saeed Kermani, Dr. Mohamad Bagher Tavakoli, Dr. Hamid Sanei
Extraction of cardiac Motion field in Cardiac-MRI Images based Similarity Measures
Finished

Ehsan Mosadeq, Dr. Hamid Abrishami Moghaddam, Dr. Saeed Kermani,
Quantitative analysis of the Left ventricular motion considering non-homogeneous environment for the abnormal heart based on 3D MRI using active mesh model and finite element method
Finished

Ahmad Reza Baghaie, Dr. Hamid Abrishami Moghaddam, Dr. Saeed Kermani
Presentation of Dynamic Model of the Left Ventricle Wall based on Active Mesh Method Using MRI image Series
Finished

Mohamad Amin Farahabadi, Dr Alireza Mehridehnavi
Locating ischemic heart disease by comparing the signal behavior Electrocardiogram and Vector cardiography
Finished

Iman Farahabadi, Dr Alireza Mehridehnavi
Detecting ischemic heart disease by comparing the Electrocardiogram and Vector cardiography curve behavior in time frequency domain
Finished

Abolfazl Masoudirad, Dr. Saeed Kermani and Dr. Alireza Mehridehnavi
Design and construction of a moving phantom of left ventricle to assess cardiac magnetic resonance image analysis algorithms
Finished

Isfahan University of Medical Sciences, Iran

CISAG

Cardiovascular Image and Signal Analysis Group

About

Group Members

Dr. saeed Kermani

Dr Alireza Mehri Dehnavi

Dr. Hamid Abrishami Moghaddam

Dr. Nasim Dadashi

Dr. Hamid Sanei

Dr Mohammad Hashemi

Dr Ali Mohammadzadeh

Dr. Mahdi Karami

Dr Alireza Daneshmehr

Hossein Yousefi-Banaem

Mostafa Ghelich oghli

Sina Houshyar

Hassan Khajepoor

Nasrin Bastani

Publications

Dinan FJ, Mosayebi P, Moghadam HA, Giti M, Kermani S. A fully 3D system for cardiac wall deformation analysis in MRI data. In: Functional Imaging and Modeling of the Heart. Springer; 2007. p. 12–21.

Kermani S, Moradi MH, Abrishami-Moghaddam H, Saneei H, Marashi-Shoshtari MJ. 3D Point Wise Tracking of the Left Ventricle over Cardiac Image Sequences Using Active Mesh and Physical Models. J Appl Sci. 2008;8(24):4500–11.

Farahabadi E, Farahabadi A, Rabbani H, Mahjoob MP, Dehnavi AM. Noise removal from electrocardiogram signal employing an artificial neural network in wavelet domain. In: Information Technology and Applications in Biomedicine, 2009 ITAB 2009 9th International Conference on. IEEE; 2009. p. 1–4.

Kermani S, Moradi MH, Abrishami-Moghaddam H, Saneei H, Marashi MJ, Shahbazi-Gahrouei D. Quantitative analysis of left ventricular performance from sequences of cardiac magnetic resonance imaging using active mesh model. Comput Med Imaging Graph. Elsevier; 2009;33(3):222–34.

Akbary P, Rabbani H. Removing power line interference and ECG signal from EMG signal using matching pursuit. In: Signal Processing (ICSP), 2010 IEEE 10th International Conference on. IEEE; 2010. p. 1717–41.

Farahabadi E, Farahabadi A, Rabbani H, Dehnavi AM, Mahjoob MP. An entropy-based method for ischemia diagnosis using ECG signal in wavelet domain. In: Signal Processing (ICSP), 2010 IEEE 10th International Conference on. IEEE; 2010. p. 195–8.

Zeraatkar E, Kermani S, MehriDehnavi A, Aminzadeh A. Improving QRS detection for artifacts reduction. In: Biomedical Engineering (ICBME), 2010 17th Iranian Conference of. IEEE; 2010. p. 1–4.

Dehnavi ARM, Farahabadi I, Rabbani H, Farahabadi A, Mahjoob MP, Dehnavi NR. Detection and classification of cardiac ischemia using vectorcardiogram signal via neural network. J Res Med Sci. 2011;16(2).

Rabbani H, Mahjoob MP, Farahabadi E, Farahabadi A, Dehnavi AM. Ischemia detection by electrocardiogram in wavelet domain using entropy measure. J Res Med Sci. 2011;16(11).

Rabbani H, Mahjoob MP, Farahabadi E, Farahabadi A. R peak detection in electrocardiogram signal based on an optimal combination of wavelet transform, Hilbert transform, and adaptive thresholding. J Med Signals Sens. Medknow Publications; 2011;1(2):91.

Golabbakhsh M, Masoumzadeh M, Sabahi MF. ECG and power line noise removal from respiratory EMG signal using adaptive filters. Majlesi J Electr Eng. 2011;5(4).

Dehnavi AM, Fakhrpour A, Tavakoli MB, Nikoo MH. Investigation of the BNP level changes in blood stream in different modes and lead locations after pacemaker implementation. J Med Signals Sens. Medknow Publications; 2012;2(1):38.

List of projects

Contact Us

CISAG

Cardiovascular Image and Signal Analysis Group

About

Aim and Scope

Director: Dr. saeed Kermani Group meeting Time: Sundays 8:30

Group Members

Dr. saeed Kermani

Dr Alireza Mehri Dehnavi

Dr. Hamid Abrishami Moghaddam

Dr. Nasim Dadashi

Dr. Hamid Sanei

Dr Mohammad Hashemi

Dr Ali Mohammadzadeh

Dr. Mahdi Karami

Dr Alireza Daneshmehr

Hossein Yousefi-Banaem

Mostafa Ghelich oghli

Sina Houshyar

Hassan Khajepoor

Nasrin Bastani

Publications

Dinan FJ, Mosayebi P, Moghadam HA, Giti M, Kermani S. A fully 3D system for cardiac wall deformation analysis in MRI data. In: Functional Imaging and Modeling of the Heart. Springer; 2007. p. 12–21.

Kermani S, Moradi MH, Abrishami-Moghaddam H, Saneei H, Marashi-Shoshtari MJ. 3D Point Wise Tracking of the Left Ventricle over Cardiac Image Sequences Using Active Mesh and Physical Models. J Appl Sci. 2008;8(24):4500–11.

Farahabadi E, Farahabadi A, Rabbani H, Mahjoob MP, Dehnavi AM. Noise removal from electrocardiogram signal employing an artificial neural network in wavelet domain. In: Information Technology and Applications in Biomedicine, 2009 ITAB 2009 9th International Conference on. IEEE; 2009. p. 1–4.

Kermani S, Moradi MH, Abrishami-Moghaddam H, Saneei H, Marashi MJ, Shahbazi-Gahrouei D. Quantitative analysis of left ventricular performance from sequences of cardiac magnetic resonance imaging using active mesh model. Comput Med Imaging Graph. Elsevier; 2009;33(3):222–34.

Akbary P, Rabbani H. Removing power line interference and ECG signal from EMG signal using matching pursuit. In: Signal Processing (ICSP), 2010 IEEE 10th International Conference on. IEEE; 2010. p. 1717–41.

Farahabadi E, Farahabadi A, Rabbani H, Dehnavi AM, Mahjoob MP. An entropy-based method for ischemia diagnosis using ECG signal in wavelet domain. In: Signal Processing (ICSP), 2010 IEEE 10th International Conference on. IEEE; 2010. p. 195–8.

Zeraatkar E, Kermani S, MehriDehnavi A, Aminzadeh A. Improving QRS detection for artifacts reduction. In: Biomedical Engineering (ICBME), 2010 17th Iranian Conference of. IEEE; 2010. p. 1–4.

Dehnavi ARM, Farahabadi I, Rabbani H, Farahabadi A, Mahjoob MP, Dehnavi NR. Detection and classification of cardiac ischemia using vectorcardiogram signal via neural network. J Res Med Sci. 2011;16(2).

Rabbani H, Mahjoob MP, Farahabadi E, Farahabadi A, Dehnavi AM. Ischemia detection by electrocardiogram in wavelet domain using entropy measure. J Res Med Sci. 2011;16(11).

Rabbani H, Mahjoob MP, Farahabadi E, Farahabadi A. R peak detection in electrocardiogram signal based on an optimal combination of wavelet transform, Hilbert transform, and adaptive thresholding. J Med Signals Sens. Medknow Publications; 2011;1(2):91.

Golabbakhsh M, Masoumzadeh M, Sabahi MF. ECG and power line noise removal from respiratory EMG signal using adaptive filters. Majlesi J Electr Eng. 2011;5(4).

Dehnavi AM, Fakhrpour A, Tavakoli MB, Nikoo MH. Investigation of the BNP level changes in blood stream in different modes and lead locations after pacemaker implementation. J Med Signals Sens. Medknow Publications; 2012;2(1):38.

List of projects

Contact Us