Forthcoming articles


International Journal of Telemedicine and Clinical Practices


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International Journal of Telemedicine and Clinical Practices (6 papers in press)


Regular Issues


  • Morphological Statistical Features for Automatic Segmentation of Blood Vessel Structure in Retinal Images   Order a copy of this article
    by Sangita Bharkad 
    Abstract: This paper presents a new method for automatic segmentation of blood vessels in retinal images. Proposed method is based on morphological high pass filter called top hat transform and statistical features. Directional information of vasculature structure is captured using top hat transform with line structuring element rotated at different eighteen directions. Statistical features namely mean, median, maximum and variance are used to reconstruct the enhanced vasculature structure. Proposed method obtained four enhanced vasculature structure based on these statistical features. Best statistical feature is determined by evaluating the segmentation performance in terms of accuracy, sensitivity and specificity. This method is evaluated on the publicly available DRIVE database. Segmentation results show that the method outperforms all evaluated segmentation approaches. Its accuracy and fast execution make it appropriate for automatic screening system of retina related diseases such as diabetic retinopathy.
    Keywords: Blood vessel; Segmentation; Morphological filter; Statistical features.

  • Adaptive Vector K-Tree Partitioning an Entropy Coder: Application to ECG Compression   Order a copy of this article
    by Supriya Rajankar, Sanjay Talbar 
    Abstract: The traditional run length coding method is beneficial only in case of long runs of ones or zeros in the bitstream. There is a need for an alternate encoding method that can achieve compression even if there are frequent changes in the bitstream.This paper presents a new one-dimensional coder named Adaptive Vector K-Tree Partitioning (AVKTP). The method emphasizes on encoding the binary significance map in a depth-first search manner, also makes the length of sub-vectors bitstream adaptive. The application to ECG compression shows that AVKTP provides higher compression than RLE and VKTP coder retaining the signal quality. The optimum length of sub- vector achieves improved compression. Depth first search method facilitates the encoding and post compression quality control.
    Keywords: ECG compression; SPIHT; VKTP.

  • Hybrid Image Fusion of Multimodality Medical Images for Clinical Diagnosis   Order a copy of this article
    by Jyoti Agarwal, S.S. Bedi 
    Abstract: In this paper hybrid image fusion technique is implemented for clearer perspective in the diagnosis of multimodality imaging for clinical diagnosis. Different medical imaging techniques may provide complementary and occasionally unnecessary information. Therefore the idea is to improve the image content by fusing images taken from imaging tools like Computed Tomography, Magnetic Resonance Imaging. Here our aim is to fuse computed tomography and magnetic resonance imaging using dual tree complex wavelet transforms and curvelet transform. The obtained images from dual tree complex wavelet transform and curvelet transform are further fused to using hybrid image transform. MATLAB R2008a coding is used for the fusion of the three image fusion transforms. Two set of images is used to compare and evaluate the performance of the fusion algorithms. The fused images obtained from dual tree complex wavelet transform, curvelet transform and hybrid transform were further checked using various performance assessment techniques such as entropy, root mean square error, correlation coefficient, peak signal to noise ratio and mutual information. Results shows that the fused image using hybrid transform was clearer and gives better results for various performance assessment criterias. The value of entropy, peak signal to noise ratio, mutual index and edge association is higher for hybrid image transform followed by curvelet and dual tree complex wavelet transforms.
    Keywords: DT-CWT; Curvelet transform; Hybrid image fusion; Fusion algorithms.

    by Olaniyi Olayemi 
    Abstract: Traditional health record systems are gradually giving way for an automated solution capable of delivery of robust e-healthcare systems. Existing models of e-healthcare system carries with it challenges of privacy breach in Electronic Health Record (EHR) authentication system. The existence of patients private data within the channel of communication could be intercepted, interpreted and used fraudulently leading to loss of data confidentiality. Also, an unprotected RFID tag in EHR system could be cloned and impersonated, thus, depriving the patients of guaranteed privacy. In this paper, we present Crystographic system for securing data communications in Clinic Tele-Diagnostic System (CTDS). Analysis of the performance of the system showed an imperceptible Stego image with Peak Signal to Noise Ratio greater than 30db. Furthermore, valid patients RFID tag was authenticated with the developed pseudo-random tiny encryption based RFID-EHR system. The performance evaluation of the system portrays a system capable of counteracting the effects of tag cloning, location tracking and replay attacks in data communication channels of Clinic Tele-consultations.
    Keywords: E-Health; RFID; Electronic Health Record; Privacy;Confidentiality; Security; Crystography.

  • Telemedicine using ECG signal Compression   Order a copy of this article
    by Ram Kanhe, Satish Hamde 
    Abstract: Electrocardiogram(ECG) is an useful tool for monitoring the health conditions of the patients. The ECG record contains a very important information about the proper functioning of the Heart & cardiovascular system as well. The ECG record is the representation of deflections of the physiological activities of the Human heart during the pumping of the blood. This vital information is of absolutely useful to the cardiologist for the disease diagnosis. In case of the ambulatory monitoring or critically cardiac disease it is required to store the data for off-line analysis or for transmission over public telephone lines. Such data generated is huge and needs to be stored by making the optimum use of the storage capabilities. For this reason we need an effective data compression techniques. In the last four decades many ECG compression algorithm have been proposed by using the different ECG compression techniques. Furthermore there is a need to make the use of these efficient compression scheme to provide the low-cost & efficient medical health care. In this paper the work related to Telemedicine is presented which promotes the utility of ECG data compression in the field of Telemedicine i.e., Tele-cardiology.
    Keywords: Electrocardiogram; Compression; Tele-cardiology; Health-care.

  • EPR Data Hiding in MRI Head Volumes for Telemedicine Using Rectangular Box Embedding Method   Order a copy of this article
    by Kalaiselvi Thiruvenkadam, Vijayalakshmi S, Somasundaram K 
    Abstract: Mapping of electronic patient report (EPR) text file to magnetic resonance imaging (MRI) volumes increases burden to diagnosis over telemedicine. In this paper, we propose a high capacity, robust technique to select slices of interest (SOI) from a MRI volume that to embed EPR and transfer on a network. Embedding EPR along with selected slices is used to removal of mapping procedure at the receiver end. Initially brain portion extraction algorithm (BEA) is used to focus the region and ease of pathology detection in the slices. Then the embedding scheme uses the technique of rectangular box mapping (RBM) where it takes care of sensitive part of medical image. EPR data is encrypted and embedded for security purpose. Experimental results on security and robustness have been tested against various images. The proposed method can store longer EPR string along with better authenticity and confidentiality properties while satisfying all the requirements of medical data transfer and has achieved 51% reduction in bit rate than the traditional methods.
    Keywords: magnetic resonance images; head scans; biomedical imaging; data communication; EPR hiding; telemedicine; brain extraction algorithm; rectangular box mapping; slices of interest; region of interest.