Semi-automated identification of white blood cell using active contour technique

2015 ◽  
Author(s):  
Nurhanis Izzati Binti Che Marzuki ◽  
Nasrul Humaimi Bin Mahmood ◽  
Mohd Azhar Bin Abdul Razak
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Active Contour ◽  
Automated Identification ◽  
Contour Technique

Identification of Thalassemia Disorder using Active Contour

2017 ◽  
Vol 6 (1) ◽  
pp. 160 ◽  
Author(s):  
Nurhanis Izzati Binti Che Marzuki Izzati Binti Che Marzuki ◽  
Nasrul Humaimi bin Mahmood Humaimi bin Mahmood ◽  
Mohd Azhar bin Abdul Razak
Keyword(s):  
Blood Cell ◽  
Blood Cells ◽  
Growth And Development ◽  
Active Contour ◽  
Blood Count ◽  
Complete Blood Count ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
The People ◽  
Contour Technique

Thalassemia was known as the red blood cell (RBC) morphology disorder. This disease mostly affects the shape of the red blood cells. Thalassemia becomes the major public health problem when one of the people becomes the carrier of the disease. It can occur within a months after birth or even before birth and results in inappropriate growth and development of babies. Sometimes the affected babies will die shortly after birth. In order to screen thalassemia, there are a few tests need to be done. Firstly by performed Complete Blood Count (CBC) and secondly continued with hemoglobin electrophoresis test. This CBC test will identify the morphology of RBC. Hence, this paper will discuss the methods on identifying the morphology of thalassemia blood cells by using active contour technique. From the result of 16 normal and abnormal blood cell images, the active countour methods able to identifyThalassemia blood cells with accuracy of 90% from the abnormal cell images.

Segmentation of White Blood Cell Nucleus Using Active Contour

2015 ◽  
Vol 74 (6) ◽  
Author(s):  
Nurhanis Izzati Che Marzuki ◽  
Nasrul Humaimi Mahmood ◽  
Mohd Azhar Abdul Razak
Keyword(s):  
Image Processing ◽  
Blood Cell ◽  
White Blood Cell ◽  
Active Contour ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Contour Method ◽  
Automated Diagnosis ◽  
Parameter Values

Image processing comes with various techniques. It uses a series of framework to transform an input image into an output image. In recent times, image processing technique has been extensively used in medical area. In order to overcome the problems of manual diagnosis in identifying the morphology of blood cells, the automated diagnosis is often used. Manual diagnosis required the observation of blood sample by expert hematologist and pathologist. This method may suffer from the presence of non-standard precision of human visual inspection. Due to this problem, this paper focused on semi-automated diagnosis that used image processing technique to perform the segmentation of the nucleus in white blood cell (WBC). Several image processing techniques are used including the active contour method. The results obtained are based on the parameter values obtained from segmentation process. The parameter value is calculated from the roundness equation. The value of 0.80 can be used to describe as a single leukocyte. 

An Alternative Elastase-mediated Degradation of Fibrinogen and Fibrin Observed in a Patient with Herpes Simplex Encephalitis and Pneumonia

1996 ◽  
Vol 76 (02) ◽  
pp. 184-186 ◽  
Author(s):  
Kenji lijima ◽  
Fumiyo Murakami ◽  
Yasushi Horie ◽  
Katsumi Nakamura ◽  
Shiro Ikawa ◽  
...  
Keyword(s):  
Herpes Simplex ◽  
Blood Cell ◽  
White Blood Cell ◽  
Herpes Simplex Encephalitis ◽  
Pmn Elastase ◽  
Cell Counts ◽  
Blood Cell Counts ◽  
Sds Page ◽  
White Blood Cell Counts ◽  
Pmn Élastase

SummaryA 74-year-old female developed pneumonia following herpes simplex encephalitis. Her white blood cell counts reached 28,400/μl, about 90% of which consisted of granulocytes. The polymorphonuclear (PMN) elastase/α1-arantitrypsin complex levels increased and reached the maximum of 5,019 ng/ml, indicating the release of a large amount of elastase derived from the granulocytes. The mechanism of PMN elastase release was most likely to be granulocyte destruction associated with phagocytosis. The cleavage of fibrinogen and fibrin by PMN elastase, independent of plasmin, was indicated by the presence of the fragments in immunoprecipitated plasma from the patient corresponding to elastase-induced FDP D and DD fragments and the absence of fragments corresponding to plasmin-induced FDP D and DD fragments on SDS-PAGE. These findings suggested that the large amount of PMN elastase released from the excessive numbers of granulocytes in this patient with herpes simplex encephalitis and pneumonia, induced the cleavage of fibrinogen and fibrin without the participation of plasmin.

Development and study of a method for cell separation during white blood cell segmentation on images of bone marrow preparations in information and measurement systems for diagnostics of acute leukemia

2020 ◽  
pp. 68-72
Author(s):  
V.G. Nikitaev ◽  
A.N. Pronichev ◽  
V.V. Dmitrieva ◽  
E.V. Polyakov ◽  
A.D. Samsonova ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Blood Cell ◽  
Acute Leukemia ◽  
White Blood Cell ◽  
Cell Separation ◽  
Large Scale ◽  
Bone Marrow Cells ◽  
Automated Analysis ◽  
Cell Segmentation ◽  
Measurement Systems

The issues of using of information and measurement systems based on processing of digital images of microscopic preparations for solving large-scale tasks of automating the diagnosis of acute leukemia are considered. The high density of leukocyte cells in the preparation (hypercellularity) is a feature of microscopic images of bone marrow preparations. It causes the proximity of cells to eachother and their contact with the formation of conglomerates. Measuring of the characteristics of bone marrow cells in such conditions leads to unacceptable errors (more than 50%). The work is devoted to segmentation of contiguous cells in images of bone marrow preparations. A method of cell separation during white blood cell segmentation on images of bone marrow preparations under conditions of hypercellularity of the preparation has been developed. The peculiarity of the proposed method is the use of an approach to segmentation of cell images based on the watershed method with markers. Key stages of the method: the formation of initial markers and builds the lines of watershed, a threshold binarization, shading inside the outline. The parameters of the separation of contiguous cells are determined. The experiment confirmed the effectiveness of the proposed method. The relative segmentation error was 5 %. The use of the proposed method in information and measurement systems of computer microscopy for automated analysis of bone marrow preparations will help to improve the accuracy of diagnosis of acute leukemia.

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