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Method for recognizing image of carcinoma bone metastasis in bone scan

A technology for image recognition and image scanning, applied in the field of image processing, can solve problems such as hotspot detection and recognition methods that have not been proposed

Inactive Publication Date: 2011-06-15
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, no effective hotspot detection and identification methods have been proposed.

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  • Method for recognizing image of carcinoma bone metastasis in bone scan
  • Method for recognizing image of carcinoma bone metastasis in bone scan
  • Method for recognizing image of carcinoma bone metastasis in bone scan

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Embodiment Construction

[0050] The technical solutions of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The following examples are carried out on the premise of the technical solutions of the present invention, and detailed implementation methods and processes are provided, but the protection scope of the present invention is not limited to the following examples.

[0051] like figure 1 As shown in the figure, first extract the whole body bone scan image of the human body, and detect the front and back information. Find reference points based on image information, locate key parts of the human body, and divide the image into five main chunks. Each area uses its own ARC hotspot detection algorithm to extract the hotspot area. Extract feature vectors for hotspot detection results and original images. The model is then trained using SVM on the extracted feature vectors. The resulting classification model is tested and m...

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Abstract

The invention provides a method for recognizing an image of carcinoma bone metastasis in bone scan in the technical field of image processing. The method comprises the following steps of: detecting positive information and negative information by extracting a whole body bone scan image of a human body; finding out a reference point according to image information, positioning a key part of the human body, and dividing the image into a plurality of main blocks; extracting a hot spot region by using an adaptive region-specific and characteristic-maximum-based (ARC) hot spot detection algorithm of each region; extracting a characteristic vector according to a hot spot detection result and the original image; using a support vector machine (SVM) training model according to the extracted characteristic vector; testing and modifying an obtained classifying model, and simultaneously performing checking, matching and human body calibration on a recognition result so as to obtain a correct diagnosis report. Compared with other methods of recognizing the image of carcinoma bone metastasis, the hot spot detection precision and patient recognition accuracy are improved, the blank in the new developing field of China is recovered, and a uniform diagnosis standard on carcinoma bone metastasis diagnosis in China is established.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to an image recognition method for tumor bone metastasis in bone scanning. Background technique [0002] Tumor research and the cure of cancer patients are issues that governments around the world attach great importance to, and are also an important aspect of building a harmonious society in our country. Every year, about 1.6 million new cancer cases and 1.3 million deaths occur in my country. For every 100 deaths, about 18 people die from malignancy. Tumor bone metastasis is one of the most serious hazards of malignant tumors, and it is also the main cause of clinical death of tumor patients. Bone metastasis is a common disease in advanced tumors. Many types of malignant tumors may have bone metastasis. Once bone metastasis occurs, most patients cannot be treated effectively. [0003] Due to the differences in the operation process and individual patients i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/66G06F19/00
Inventor 康飞龙杨杰黄钢朱羽苑王强常青青戴嘉境
Owner SHANGHAI JIAO TONG UNIV
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