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Method for testing noise spot
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A noise and sampling point technology, applied in the field of noise point detection, can solve problems such as distortion of the geometric model of the cardiac cavity
Inactive Publication Date: 2008-09-24
SHANGHAI MICROPORT MEDICAL (GROUP) CO LTD
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If the points collected at this time are taken as effective sampling points, the resulting 3D reconstruction surface (indicated by the dotted line) will deviate from the real surface of the heart chamber at this point, forming an outwardly protruding shape, so that the geometry of the heart chamber model distortion
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no. 1 example
[0099] Figure 7 The flowchart of the first embodiment of the method for detecting noise points of the present invention is shown. See Figure 7 , the following is a detailed description of each step in the method.
[0100] Step S100: Collect the three-dimensional position information P of several sampling points i (x i ,y i ,z i ). These sampling points are sampling points during the three-dimensional mapping of the human body cavity.
[0101] Step S101: Select any one of the sampling points as the suspicious sampling point P to be analyzed 0 .
[0102] Step S102: Calculate suspicious sampling point P 0 with other sampling points P i the distance between
[0103] Step S103: compare all , find out The first n points from small to large, these n points are the suspicious sampling point P 0 Nearest n points: P 1 ,P 2 ,P 3 ......P n (n is a natural number greater than 1).
[0104] In this example, it is to find The first 4 points from small to large: P 1...
no. 2 example
[0117] Figure 8 The flowchart of the second embodiment of the method for detecting noise points of the present invention is shown. See Figure 8 , the following is a detailed description of each step in the method.
[0118] Step S200: Collect the three-dimensional position information P of several sampling points i (x i ,y i ,z i ). These sampling points are sampling points during the three-dimensional mapping of the human body cavity.
[0119] Step S201: Select any one of the sampling points as the suspicious sampling point P to be analyzed 0 .
[0120] Step S202: Calculate suspicious sampling point P 0 with other sampling points P i the distance between
[0121] Step S203: compare all , find out The first n points from small to large, these n points are the suspicious sampling point P 0 Nearest n points: P 1 ,P 2 ,P 3 ......P n (where n is a natural number greater than 1).
[0122] In this example, it is to find The first 4 points from small to large:...
no. 3 example
[0140] Figure 9 The flowchart of the third embodiment of the method for detecting noise points of the present invention is shown. See Figure 9 , the following is a detailed description of each step in the method.
[0141] Step S300: Collect the three-dimensional position information P of several sampling points i (x i ,y i ,z i ). These sampling points are sampling points during the three-dimensional mapping of the human body cavity.
[0142] Step S301: Select any one of the sampling points as the suspicious sampling point P to be analyzed0 .
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Abstract
The invention discloses a method which can test the noise spot. The method is suitable for testing the noise spot in the course of three-dimensional mapping of human bodyorgan cavity and avoids that a built geometric module distorts because of the existence of the noise spot. The technical proposal is that the method comprises: three-dimensional location informations Pi (xi, yi, zi); of a plurality of sampling points are collected; a sampling point P0 is selected at random as an analysis suspicious sample point; a group of near points P1, P2, P3 to Pn which are close to the suspicious sample point P0 is selected; wherein, n is a natural number which is greater than one; the central point G of the near points is calculated, the distance k1 from the suspicious point P0 to the central point G is measured, the vector from the suspicious point P0 to the central point G is measured, the angle relationship k2 of the vectors from the suspicious point P0 to each near point is measured, and the density degree k3 among the near points is measured: according to the distance k1, the angle relationship k2 and the density degree k3, the suspicious point P0 is judged whether the suspicious point P0 is a noise spot. The method is applied in the field of three-dimensional mapping of the human bodyorgan cavity.
Description
technical field [0001] The invention relates to a method for detecting noise points (also called noise points), in particular to a method for detecting noise points in the process of three-dimensional mapping of internal organs of a human body. Background technique [0002] Atrial fibrillation is an irregular heartbeat that originates in the atria, usually causing the heart to beat faster than 300 beats per minute. There are approximately 2.2 million patients with atrial fibrillation in the United States, and the number of new cases of atrial fibrillation reached 200,000 in 2006, and the number of patients with atrial fibrillation in China is more than 10 million. Relevant data in China show that the risk of stroke in patients with atrial fibrillation is 6 times that of normal people, and patients with atrial fibrillation often feel palpitations, chest tightness, and shortness of breath, which seriously affect their quality of life. Current pulmonary vein isolation techniqu...
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