scholarly journals Global Threshold Using Otsu and Active Contour for Detection of Malaria Parasites in Thick Blood Smear

2021 ◽  
Vol 41 ◽  
pp. 04002
Author(s):  
Amin Siddiq Sumi ◽  
Hanung Adi Nugroho ◽  
Rudy Hartanto
Keyword(s):  
Active Contour ◽  
Detection Method ◽  
High Sensitivity ◽  
Morphological Operations ◽  
Thick Blood Smear ◽  
Improve Image Quality ◽  
Plasmodium Parasite ◽  
Blood Smears ◽  
Global Threshold ◽  
Parasite Detection

Malaria is a disease caused by the plasmodium parasite and has caused many fatalities. In general, identifying malaria parasite infection can be done by visually observing thick and thin blood smears through microscopic devices. Identification of parasites in thick blood preparations has a higher level of difficulty than thin blood preparations. In thick blood preparations, various objects such as artefacts and noise have a structure similar to the structure of parasitic objects. This paper aims to develop a parasite detection method based on image processing in thick blood smears, consisting of two main stages. First is to improve image quality by applying contrast value stretching, converting green channels, and refining each image. Second is to segment the plasmodium parasite using global threshold Otsu and active contour followed by several morphological operations. The proposed method produces a high sensitivity of 98.06% with an average negative false rate of 1.4%. With the sensitivity level obtained, it can be interpreted that most of the parasitic objects have been detected correctly in one blood sample image.

scholarly journals Amplification Techniques of Recombinase & Polymerase and their Application in Parasite Detection

2019 ◽  
Vol 131 ◽  
pp. 01023 ◽  
Author(s):  
Lili Niu ◽  
Hongli Liu
Keyword(s):  
Sensitivity And Specificity ◽  
Detection Method ◽  
High Sensitivity ◽  
Nucleic Acid Amplification ◽  
Future Application ◽  
Advantages And Disadvantages ◽  
Isothermal Nucleic Acid Amplification ◽  
Nucleic Acid Amplification Technology ◽  
Parasite Detection ◽  
Application Characteristics

To study the application principles of recombinase polymerase amplification (RPA) and the specific situations of detecting parasites, the principles of RPA are analyzed to find the optimal temperature conditions, advantages, and disadvantages. Then, the parasites are detected to observe the application characteristics of the RPA method. The results show that RPA is a kind of novel isothermal nucleic acid amplification technology, which is an open detection method. It has high sensitivity and specificity when being operated at 37-42°C, which makes it very suitable for early detection of pathogen infection. Besides, it also has high sensitivity and specificity in parasite detection. Therefore, the RPA technology has better performances and excellent applications in parasite detection, which has a certain significance for the future application of the technology in more fields.

scholarly journals A timed tally counter for microscopic examination of thick blood smears in malaria studies

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Grégory Nuel ◽  
André Garcia
Keyword(s):  
Expectation Maximization ◽  
Negative Binomial ◽  
Expectation Maximization Algorithm ◽  
Data Entry ◽  
Digital Data ◽  
Thick Blood Smear ◽  
Technological Advances ◽  
Blood Smears ◽  
Parasite Detection ◽  
Expensive Process

Abstract Background Despite many technological advances for malaria parasite detection (e.g. high resolution image acquisition), microscopic reading of thick blood smear (TBS) remains the gold standard. Even though available in low technology environment, the microscopy of TBS is slow and time consuming. Moreover microscopy may induce errors at many levels and has no quality control. Methods A electronic extension of the mechanical tally counter is proposed. In addition to the counting process it includes the process of counting itself that relies on the time elapsed between two successive pressures of the counting button leading to a timed tally counter (TTC). The microscopist performs the reading with the specific instruction starting by counting, in each high power fields, leucocytes first and then parasites. The time-stamp of all pressures of counting buttons are recorded along with the nature of the count. The data are recorded internally in CSV format and are exportable. The detection of HPFs locations and leukocyte/parasite counts per HPFs is performed through a hidden semi-Markov model (with outliers) allowing both to take into account the known distribution of leukocyte per HPFs (using a negative binomial distribution) and the pauses and hesitation of the microscopist during the reading. Parameters are estimated via the expectation-maximization algorithm. Hyper-parameters are calibrated using expert annotations. Forward/backward recursions are used to obtain the HPFs locations. Results This approach provides richer data at no extra cost. It has been demonstrated that the method can derive parasites per HPF, leukocytes per HPF, and parasite/leukocyte ratio with robust non-parametric confidence intervals. Moreover a direct digital data entry leads to a less expensive process and decreased time-consuming and error-prone manual data entry. Lastly the TTC allows detecting possible protocol break during reading and prevents the risk of fraud. Discussion and conclusion Introducing a programmed digital device in the data acquisition of TBS reading gives the opportunity to develop easily new (possible adaptive) reading protocols that will be easily followed by the reader since they will be embedded directly in the device. With the TTC the reader only has to read HPFs, counting leukocytes first and parasites second, and the counter will beep when the protocol is completed.

Study on Field Demonstration of High Sensitivity SF6 Leakage Detection Method for Gas Insulated Switchgear

2020 ◽  
Vol 140 (5) ◽  
pp. 409-414
Author(s):  
Masaru Tatemi ◽  
Hisao Inami ◽  
Toshiaki Rokunohe ◽  
Makoto Hirose
Keyword(s):  
Detection Method ◽  
High Sensitivity ◽  
Leakage Detection ◽  
Gas Insulated Switchgear

A Hybrid Approach for 3D Lung Segmentation in CT Images Using Active Contour and Morphological Operation

2020 ◽  
pp. 163-175
Author(s):  
Satya Praksh Sahu ◽  
Bhawna Kamble
Keyword(s):  
Active Contour ◽  
Hybrid Approach ◽  
Similarity Index ◽  
Ct Images ◽  
Dice Similarity Coefficient ◽  
Morphological Operations ◽  
Lung Segmentation ◽  
Cad System ◽  
Detection And Diagnosis ◽  
Index Value

Lung segmentation is the initial step for detection and diagnosis for lung-related abnormalities and disease. In CAD system for lung cancer, this step traces the boundary for the pulmonary region from thorax in CT images. It decreases the overhead for a further step in CAD system by reducing the space for finding the ROIs. The major issue and challenging task for the segmentation is the inclusion of juxtapleural nodules in the segmented lungs. The chapter attempts 3D lung segmentation of CT images using active contour and morphological operations. The major steps in the proposed approach contain: preprocessing through various techniques, Otsu's thresholding for the binarizing the image; morphological operations are applied for elimination of undesired region and, finally, active contour for the segmentation of the lungs in 3D. For experiment, 10 subjects are taken from the public dataset of LIDC-IDRI. The proposed method achieved accuracies 0.979 Jaccard's similarity index value, 0.989 Dice similarity coefficient, and 0.073 volume overlap error when compared to ground truth.

scholarly journals A faster detection method for high-sensitivity cardiac troponin—POCT quantum dot fluorescence immunoassay

2019 ◽  
Vol 11 (4) ◽  
pp. 1506-1513 ◽  
Author(s):  
Peiling Zhou ◽  
Haohao Liu ◽  
Lan Gong ◽  
Bo Tang ◽  
Yabing Shi ◽  
...  
Keyword(s):  
Quantum Dot ◽  
Cardiac Troponin ◽  
Detection Method ◽  
High Sensitivity ◽  
Fluorescence Immunoassay

scholarly journals Global Threshold and Region-Based Active Contour Model for Accurate Image Segmentation

2014 ◽  
Vol 5 (3) ◽  
pp. 01-11 ◽  
Author(s):  
Nuseiba M. Altarawneh ◽  
Suhuai Luo ◽  
Brian Regan ◽  
Changming Sun ◽  
Fucang Jia
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Active Contour Model ◽  
Contour Model ◽  
Global Threshold

scholarly journals A Probabilistic Approach for Breast Boundary Extraction in Mammograms

2013 ◽  
Vol 2013 ◽  
pp. 1-19 ◽  
Author(s):  
Hamed Habibi Aghdam ◽  
Domenec Puig ◽  
Agusti Solanas
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Probability Model ◽  
Probabilistic Approach ◽  
Local Binary Patterns ◽  
Extraction Process ◽  
Morphological Operations ◽  
Boundary Extraction ◽  
Contour Model ◽  
Starting Point

The extraction of the breast boundary is crucial to perform further analysis of mammogram. Methods to extract the breast boundary can be classified into two categories: methods based on image processing techniques and those based on models. The former use image transformation techniques such as thresholding, morphological operations, and region growing. In the second category, the boundary is extracted using more advanced techniques, such as the active contour model. The problem with thresholding methods is that it is a hard to automatically find the optimal threshold value by using histogram information. On the other hand, active contour models require defining a starting point close to the actual boundary to be able to successfully extract the boundary. In this paper, we propose a probabilistic approach to address the aforementioned problems. In our approach we use local binary patterns to describe the texture around each pixel. In addition, the smoothness of the boundary is handled by using a new probability model. Experimental results show that the proposed method reaches 38% and 50% improvement with respect to the results obtained by the active contour model and threshold-based methods respectively, and it increases the stability of the boundary extraction process up to 86%.

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