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Bone marrow cell segmentation method based on sparse representation and morphological operation

A technology of morphological manipulation and bone marrow cells, which is applied in the field of medical image processing, can solve the problems that cannot meet the actual application requirements of clinical medical examinations, and assumptions cannot be well guaranteed.

Active Publication Date: 2018-07-24
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

In existing studies, almost all white blood cell automatic segmentation algorithms assume that image sampling and cell staining conditions are good, and image consistency can be guaranteed; however, such assumptions cannot be well guaranteed in practice, and related algorithms have great limitations. Can not meet the practical application requirements of clinical medical examination

Method used

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  • Bone marrow cell segmentation method based on sparse representation and morphological operation
  • Bone marrow cell segmentation method based on sparse representation and morphological operation
  • Bone marrow cell segmentation method based on sparse representation and morphological operation

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Embodiment

[0095] Such as figure 1 As shown, the bone marrow cell segmentation method based on sparse representation and morphological operations in this embodiment includes the following steps:

[0096] (1) Pre-detection of bone marrow cells based on saturation:

[0097] In the RGB color space, different spectrums may also produce the same color. Therefore, for the same bone marrow phase image, the color remains unchanged, but the three color components may change greatly due to inconsistencies in operations. In HSV space, the hue and saturation of an object are usually determined only by the light absorption and reflection properties of the object's raw material. Therefore, in the space of hue and saturation, conditional homochromaticity will not affect the judgment of the computer. Thus, hue and saturation are critical for myeloid cell segmentation.

[0098] When the bone marrow cells are stained, the nuclei and cytoplasm are stained. Under the light, the cells will show a saturate...

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Abstract

The present invention discloses a bone marrow cell segmentation method based on sparse representation and morphological operation. The method comprises the following steps of: (1) pre-detection of bone marrow cells based on saturability; (2) detection of the bone marrow cells based on sparse representation; and (3) segmentation and counting of multi-angle bone marrow cells based on the morphology.The bone marrow cell segmentation method based on sparse representation and morphological operation can obtain an accurate bone marrow cell detection position, a segmentation image and a counting result, the whole process does not need human intervention, the automatic bone marrow cell detection, segmentation and counting can be really achieved to facilitate subsequent treatment such as cell classification and acute leukemia diagnosis.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a bone marrow cell segmentation method based on sparse representation and morphological operations. Background technique [0002] Leukemia is a malignant tumor originating from the hematopoietic system. It is characterized by the production and accumulation of a large number of immature and abnormal white blood cells in the bone marrow, which infiltrate other organs, leading to the inhibition and failure of normal hematopoietic function. According to the degree of differentiation of leukemia cells and the length of the natural course, it can be divided into two categories: acute and chronic. The distribution of leukemia types in my country is more acute than chronic, and myeloid leukemia is more common, and its incidence rate ranks sixth among various tumors. Patients with acute leukemia (AL) are often accompanied by clinical symptoms such as anemia, hemorrhage...

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Application Information

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IPC IPC(8): G06T7/11G06T7/136G06T7/194
CPCG06T2207/10024G06T2207/10056G06T2207/30024G06T7/11G06T7/136G06T7/194
Inventor 王伟凝师婷婷谭燕尉岩
Owner SOUTH CHINA UNIV OF TECH
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