A Review of Contemporary Researches on Biomedical Image Analysis
21 Dec 2018-pp 84-96
TL;DR: The objectives of this article was to review the literature on image analysis studies and discuss various contemporary topics and studies performed by researchers in last five years which provides sound basis for future research.
Abstract: The objectives of this article was to review the literature on image analysis studies. The review article discussed various contemporary topics and studies performed by researchers in last five years. The various topics discussed are Advances in Biomedical imaging, Big data work flow for biomedical image analysis, Biomedical Image Analysis of Micro-bubbles in Dental Ultrasonic Scalars, Dynamic Programming Based Segmentation in Biomedical Imaging, Thermal Image Analysis using Serpentine method, A Review of Novel Approaches In Orthopaedic And Endoscopy and Biomedical Image Analysis of Obturated Root Canal: A Proposed Approach etc. The advances in biomedical image analysis are discussed based on the transform type used and fusion type used. The various transforms such as Laplace, Wavelet, Shearlet, Hilbert, Warbler, Tunable and Q Hadamard etc. The various types of fusions are used by authors to calculate the accuracy but there are certain limitations which we have discussed. The big data workflow process is discussed in detail. The biomedical image analysis for micro-bubble of dental ultrasonic scalar is reviewed. M-tracking is used for calculating the bubble radius and speed of bubble for analysis purpose. The M-tracking plugin helps to track the location of bubble. The cavitation is one of the most effective method to remove the bio-film of biomedical surfaces. The dynamic based programming helps to highlight the lines, contour and organ margin or location. The biomedical image analysis has its four quadrant viz. physics, medical imaging, machine learning and image processing and graphics. All the above discussed studies provides sound basis for future research. The biomedical image analysis of obturated root canal using pixel programme is proposed work by the authors of this review article, is also discussed. This review article is helpful and informative to Ph.D. scholars, researchers, decision makers and experts in the field of biomedical image analysis. The review is also useful in inter-disciplinary fields which are concerned with biomedical image analysis. In future the biomedical image analysis can be effectively implemented for faster diagnosis, qualitative analysis of obturation.
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TL;DR: The mathematical model for Endodontic file proved to be efficient tool for studying the root canal preparation and the various performance parameters are derived.
Abstract: Aim To develop the mathematical model for root canal preparation using Endodontic file. Method The process of obturation consist of the filling of the root canal cavity using heated and softened gutta-percha to get the fluid tight seal in between the canal wall and filled gutta-percha. Any obturation process to perform before it requires the preparation of the root canal which involves the removing dead tissue, substrates and debris from the decayed root canal. The various geometric parameters viz. Taper, relative angle for orientation of cross-section between two planes, pitch and polar symmetry constant of the Endodontic file etc. Geometric parameters are derived. The various performance parameters like Endodontic file life assessment, cutting force components (tangential and normal), substrate removal rate, torque exerted by Endodontic file etc are also derived successfully. The Endodontic file life is estimated based on two approaches viz. speed and volumetric wear approach. Conclusion The mathematical model described is helpful for the Endodontic experts, researchers, design engineers etc. However the applicability of the described mathematical model limited to assumption of study. The gap between root canal to be prepared and Endodontic file is zero while preparation. The Endodontic file weight, speed of rotation and substrate removal rate is assumed to be constant. The mathematical model for Endodontic file discussed above proved to be efficient tool for studying the root canal preparation. The various geometric parameters and the various performance parameters are derived.
3 citations
TL;DR: The proposed algorithm provides accurate percentage filling of gutta-percha in the obturated root canal up to two decimal points and locates and outlines the unfilled root canal cavity.
Abstract: Aim To quantify the percentage filling of the gutta-percha in obturated root canal cavity using image processing and analysis. Methodology The image processing and analysis using the X-ray radiographs is commonly being used by medical practitioners for easy and speedy diagnosis of patient health. But these methods are qualitative and assessment depends upon dentist's own experience and perception. Fifteen patients were randomly assigned to fifteen Dentists to perform the root canal treatment using warm vertical condensation. X-ray radiographs of pre and post obturation were obtained to carry image processing and analysis. Image enhancement, low pass filtering, k-means clustering algorithm and edge detection technique were applied to get results. Percentage filling of the obturated root canal using X-ray radiography (Dentist's prediction) and proposed algorithm results of the present study were compared. Out of fifteen Dentists, the prediction of twelve Dentists were close in range of percentage filling quantified using proposed algorithm of the present study. When investigated it was found that three discrepancies found due to lack of sufficient experience of the respective Dentist. The proposed algorithm not only helps to overcome this false assessment but also helps to quantify accurate percentage filling of gutta-percha and outlines unfilled cavity gap of root canal. Results The proposed algorithm of present study provides accurate percentage filling of gutta-percha in the obturated root canal up to two decimal points. The present study used gutta-percha as obturation material but the study can be implemented for any obturation material. Conclusion The proposed algorithm of present study accurately quantified the percentage filling of root canal cavity using image processing. It also locates and outlines the unfilled root canal cavity.
TL;DR: The aim of this article is to develop the mathematical model to describe response of endodontic file in curved root canal during the preparation of root canal using fracture mechanics approach.
Abstract: The aim of this article is to develop the mathematical model to describe response of endodontic file in curved root canal during the preparation of root canal using fracture mechanics approach. Any obturation process involves the filling of prepared root canal using bio-compatible materials like gutta-percha. During preparation of infected root canal, substrate, dead tissue and pulp is removed and tapered shape is formed so that any practitioner can fill it effectively. During preparation process of root canal, the canal wall applies locking action and causes resistance to motion of endodontic file, finally resulting into fatigue failure. This article described plastic behavior of endodontic file in curved root canal, mathematical model describing the necessary condition for crack growth in endodontic file, a mathematical model describing plastic zone size for crack on surface of endodontic file, a mathematical model describing crack tip opening displacement for crack on surface of endodontic file and mathematical model for pure-combined torsion and bending consideration for design of endodontic file. The mathematical model described is helpful for the Endodontic experts, researchers, design engineers. However the applicability of the described mathematical model limited to assumption of study. The gap between root canal to be prepared and endodontic file is zero while preparation. The endodontic file weight, speed of rotation and substrate removal rate is assumed to be constant. The mathematical model for endodontic file discussed above proved to be efficient tool for studying the root canal preparation.
Cites methods from "A Review of Contemporary Researches..."
...Empirical models which are based on curve fitting and arbitrary values, regression models and analysis of root canal using MATLAB software [7, 8]....
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References
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