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Medical image processing apparatus

An image processing device and medical technology, applied in the field of medical image processing, can solve the problems of decreased detection accuracy, false detection and the like

Active Publication Date: 2011-09-07
OLYMPUS CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to this standard error, the conventional colorectal polyp detection process has problems of decreased detection accuracy and false detections.

Method used

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  • Medical image processing apparatus
  • Medical image processing apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] Figure 1 to Figure 6 Relating to embodiment 1 of the present invention, figure 1 is a diagram showing an example of an overall configuration of an endoscope system used in a medical image processing device, figure 2 is showing figure 1 A functional block diagram of the functional structure of the CPU, image 3 is showing figure 2 The flowchart of the processing flow of the CPU, Figure 4 is showing image 3 The flow chart of the decision processing flow of the thresholds T1 and T2, Figure 5 is shown in Figure 4 A plot of the "Z coordinate - threshold T1, T2" threshold table data used in the processing, Image 6 is description Figure 4 processed diagram.

[0038] like figure 1 As shown, the main parts of the endoscope system 1 of this embodiment are configured to include a medical observation device 2 , a medical image processing device 3 , and a monitor 4 .

[0039] The medical observation device 2 is an observation device that captures a subject and ou...

Embodiment 2

[0085] Figure 7 to Figure 11 Relating to embodiment 2 of the present invention, Figure 7 is a flowchart showing the flow of determination processing of the thresholds T1 and T2, Figure 8 is shown in Figure 7 A plot of the "Included Angle - Multiplied Value" threshold table data used in the processing, Figure 9 is description Figure 7 Figure 1 of the processing, Figure 10 is description Figure 7 Figure 2 of the processing, Figure 11 is description Figure 7 Figure 3 of the treatment.

[0086] The difference between the second embodiment and the first embodiment lies in the determination process of the thresholds T1 and T2 for comparison with the shape index value and the curvature value. Since the structure is the same as that of the first embodiment, only the difference will be described.

[0087] In the process of determining the thresholds T1 and T2 to be compared with each value of the shape index value and the curvature value in this embodiment, as Figur...

Embodiment 3

[0102] Figure 12 to Figure 16 Relating to embodiment 3 of the present invention, Figure 12 is a diagram explaining calculation processing of local partial differential coefficients, Figure 13 is showing Figure 12 The flow chart of the calculation processing flow of the local partial differential coefficient, Figure 14 is showing Figure 13 The flow chart of the determination processing flow of the thresholds T1 and T2 in the subsequent stage of processing, Figure 15 is shown in Figure 13 The graph of the corresponding threshold value table between the number of data points Mi used in the processing of and the threshold values ​​T1, T2, Figure 16 is showing Figure 13 A flowchart of the flow of a modified example of the calculation process of the local partial differential coefficient.

[0103] The difference between embodiment 3 and embodiment 1 lies in the calculation process of the local partial differential coefficient ( image 3 Step S3) and the determinati...

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Abstract

The essential part of an endoscope system is constructed from a medical observation device, a medical image processing device, and a monitor. A CPU (22) of the medical image processing device has function sections that are a three-dimensional model estimation section (22a), a detection target region setting section (22b), a shape feature amount calculation section (22c), a three-dimensional shapedetection section (22d), a threshold decision section (22e), and a polyp decision section (22f). The construction enables execution of processing that is appropriately adapted to an observation stateof a two-dimensional target image, and this improves detection accuracy in detecting a lesion having the shape of a local protrusion.

Description

[0001] This application is based on Article 42 of the Detailed Rules for the Implementation of the Patent Law. It is a divisional application of the invention patent application "Medical Image Processing Device" with the filing date of April 10, 2007 and the application number of 200780026931.7. technical field [0002] The present invention relates to a medical image processing device and a medical image processing method, and more particularly to a medical image processing device and a medical image processing method for estimating a three-dimensional model of a living tissue from a two-dimensional image of the living tissue. Background technique [0003] Conventionally, in the medical field, observations using imaging equipment such as X-ray diagnostic equipment, CT, MRI, ultrasonic observation equipment, and endoscope equipment have been widely performed. An endoscope device in such an image pickup device has, for example, the following functions and structures: it has an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B1/04G06T17/00
CPCG06T7/0012G06T2207/30032G06T2207/10068G06T2200/04A61B1/04
Inventor 井上凉子西村博一田中秀树中村健次沢美穗
Owner OLYMPUS CORP
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