Heart three-dimensional positioning method based on MR horizontal axis image segmentation
An image segmentation and three-dimensional positioning technology, applied in image analysis, image data processing, medical science and other directions, can solve the problems of error-prone, difficult to use manual positioning method, complicated process, etc., to improve efficiency, shorten consumption time, The effect of improving accuracy
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[0030] Embodiment 1: the present invention provides a kind of heart three-dimensional localization method based on MR horizontal axis image segmentation, and specific steps are as follows:
[0031] Step 1, scan the MR transverse axis, select the appropriate scanning layer thickness and number of layers, so that the transverse axis tomography covers the entire heart;
[0032] Step 2. Use the "region growing segmentation algorithm" to segment the heart region of each image. The "region growing segmentation algorithm" is a semi-automatic segmentation method. The process is as follows: figure 1 As shown, take out the first pixel from the queue, use this pixel as a "seed", search for pixels around, if the pixel tag=0, and the pixel value difference with the seed is less than the "threshold", then the The pixel is added to the queue, and the tag is set to 1;
[0033] Step 3: Reconstruct the 3D heart image, and adjust the pixel interval of the heart mask obtained in step 2, and then...
specific Embodiment
[0048] Specific embodiment: a kind of heart three-dimensional localization method based on MR horizontal axis position image segmentation, concrete steps are as follows:
[0049]Step 1, scan the MR transverse axis. After the patient enters the scanner, the doctor sets the slice thickness to 8mm and the number of slices to 12, and makes the positioning line cover the entire heart, scans, and saves the obtained picture in DICOM format;
[0050] Step 2, segment the heart region of the image. Import the DICOM file obtained in step 1 into the software, adjust the image window width and window level, and use the "region growing segmentation algorithm" to segment. The segmentation process is as follows: click a certain pixel in the image with the mouse, and the pixel is regarded as " "Seed", search around, look for pixels whose pixel value difference is less than the "threshold", and classify it as the heart area. If the segmentation is not accurate, click Undo, adjust the "threshol...
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