White Blood Cell Segmentation for Acute Leukemia Bone Marrow Images

2012 ◽  
Vol 2 (3) ◽  
pp. 278-284 ◽  
Author(s):  
Lim Huey Nee ◽  
Mohd Yusoff Mashor ◽  
Rosline Hassan
Keyword(s):  
Bone Marrow ◽  
Blood Cell ◽  
Acute Leukemia ◽  
White Blood Cell ◽  
Cell Segmentation

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.

A novel framework for white blood cell segmentation based on stepwise rules and morphological features

2011 ◽  
Author(s):  
Ja-Won Gim ◽  
Junoh Park ◽  
Ji-Hyeon Lee ◽  
ByoungChul Ko ◽  
Jae-Yeal Nam
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Morphological Features ◽  
Cell Segmentation

scholarly journals Determination of Advanced Oxidation Protein Products, E3 SUMO-Protein Ligase NSE2[NSMCE2], as a Marker to Predict Child Acute Lymphoblastic Leukemia

2014 ◽  
Vol 11 (1) ◽  
pp. 128-138 ◽  
Author(s):  
Baghdad Science Journal
Keyword(s):  
Bone Marrow ◽  
Acute Lymphoblastic Leukemia ◽  
Blood Cell ◽  
White Blood Cell ◽  
Total Protein ◽  
Lymphoblastic Leukemia ◽  
Advanced Oxidation ◽  
Control Group ◽  
Advanced Oxidation Protein Products ◽  
Sumo Protein

Acute lymphoblastic leukemia (ALL) is a cancer of the blood and bone marrow (spongy tissue in the center of bone). In ALL, too many bone marrow stem cells develop into a type of white blood cell called lymphocytes. These abnormal lymphocytes are not able to fight infection very well. The aim of this study was to investigate possible links between E3 SUMO-Protein Ligase NSE2 [NSMCE2] and increase DNA damage in the childhood patients with Acute lymphoblastic leukemia (ALL). Laboratory investigations including hemoglobin(Hb) ,white blood cell (WBC) , serum total protein , albumin ,globulin , in addition to serum total antioxidant activity (TAA) , Advanced oxidation protein products(AOPP) and E3 SUMO-Protein Ligase NSE2[NSMCE2]. Blood samples were collected from 60 patients diagnosed to Acute lymphoblastic leukemia (ALL) after one month treatment with induction therapy. Age and sex matched 30 healthy persons selected as control.serum total protein , albumin and globulin showed A significant decrease in patients group when compared to control group( P

scholarly journals A Framework for White Blood Cell Segmentation in Microscopic Blood Images Using Digital Image Processing

2009 ◽  
Vol 11 (1) ◽  
pp. 196-206 ◽  
Author(s):  
Farnoosh Sadeghian ◽  
Zainina Seman ◽  
Abdul Rahman Ramli ◽  
Badrul Hisham Abdul Kahar ◽  
M-Iqbal Saripan
Keyword(s):  
Image Processing ◽  
Blood Cell ◽  
Digital Image Processing ◽  
White Blood Cell ◽  
Digital Image ◽  
Cell Segmentation

scholarly journals Myeloablative chemoradiotherapy and autologous bone marrow infusions for treatment of neuroblastoma: factors influencing engraftment

Blood ◽  
1991 ◽  
Vol 78 (6) ◽  
pp. 1607-1614 ◽  
Author(s):  
J Graham-Pole ◽  
A Gee ◽  
S Emerson ◽  
J Gallo ◽  
C Lee ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Blood Cell ◽  
White Blood Cell ◽  
Stromal Cell ◽  
Univariate Analysis ◽  
Autologous Bone Marrow ◽  
Platelet Recovery ◽  
Cell Counts ◽  
Autologous Bone ◽  
Count Recovery

Abstract Bone marrow harvested from cancer patients for autologous bone marrow reinfusion (ABMR) after myeloablative treatment may be injured, in both its proliferating and stromal cell pools, by either previous treatment or manipulation at the time of harvest. We have examined the relative effects of seven covariates on hematologic recovery after ABMR in children with neuroblastoma (NBL) using univariate and step-up analysis. We measured recovery by times to achieve (1) white blood cell counts greater than 1,000/microL; (2) absolute neutrophil counts greater than 500/microL; and (3) platelet counts greater than 20,000/microL without transfusion. In univariate analysis, recovery was significantly associated with the amount of prior chemotherapy and the interval between last chemotherapy and marrow harvest. Patient sex, the number of granulocyte-macrophage colonies infused, harvest-to-freeze interval, and use of purging were marginally associated. After adjusting for potential confounders in a multivariate model, the amounts of chemotherapy and granulocyte-macrophage colonies infused were independently significant predictors of time to total white blood cell count recovery; chemotherapy courses and chemo-to-harvest interval were predictors of neutrophil count recovery; and sex, use of purging, and harvest-to-freeze interval were marginal predictors of platelet recovery. The speed of hematologic recovery after ABMR seems to depend mainly on pre-existing factors and marginally on manipulation of the marrow after harvest. These factors may affect both proliferating and stromal cell pools.

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