WO2021073388A1 - 一种快速的活体无损检测和评价贝类肌肉量的方法 - Google Patents
一种快速的活体无损检测和评价贝类肌肉量的方法 Download PDFInfo
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- WO2021073388A1 WO2021073388A1 PCT/CN2020/117320 CN2020117320W WO2021073388A1 WO 2021073388 A1 WO2021073388 A1 WO 2021073388A1 CN 2020117320 W CN2020117320 W CN 2020117320W WO 2021073388 A1 WO2021073388 A1 WO 2021073388A1
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- muscle
- shellfish
- ray
- adductor muscle
- standard scale
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- 210000003205 muscle Anatomy 0.000 title claims abstract description 103
- 235000015170 shellfish Nutrition 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000011156 evaluation Methods 0.000 title claims abstract description 10
- 238000009659 non-destructive testing Methods 0.000 title claims abstract description 7
- 238000003384 imaging method Methods 0.000 claims abstract description 9
- 235000020637 scallop Nutrition 0.000 claims description 37
- 238000001514 detection method Methods 0.000 claims description 21
- 241000237509 Patinopecten sp. Species 0.000 claims description 18
- 238000001727 in vivo Methods 0.000 claims description 14
- 230000001066 destructive effect Effects 0.000 claims description 10
- 230000010354 integration Effects 0.000 claims description 5
- 230000005855 radiation Effects 0.000 claims description 5
- 238000004846 x-ray emission Methods 0.000 claims description 4
- 238000009395 breeding Methods 0.000 abstract description 8
- 230000001488 breeding effect Effects 0.000 abstract description 8
- 238000005259 measurement Methods 0.000 abstract description 5
- 238000011160 research Methods 0.000 abstract description 5
- 230000002285 radioactive effect Effects 0.000 abstract description 3
- 206010056720 Muscle mass Diseases 0.000 abstract 1
- 238000002224 dissection Methods 0.000 abstract 1
- 238000009394 selective breeding Methods 0.000 abstract 1
- 241000237503 Pectinidae Species 0.000 description 19
- 230000000694 effects Effects 0.000 description 6
- 241000894007 species Species 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000037257 muscle growth Effects 0.000 description 4
- 230000002068 genetic effect Effects 0.000 description 3
- 239000000523 sample Substances 0.000 description 3
- 241000237505 Chlamys Species 0.000 description 2
- 241000237852 Mollusca Species 0.000 description 2
- 230000002596 correlated effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000002594 fluoroscopy Methods 0.000 description 2
- 235000013372 meat Nutrition 0.000 description 2
- 241001526627 Azumapecten farreri Species 0.000 description 1
- 210000003484 anatomy Anatomy 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 235000014113 dietary fatty acids Nutrition 0.000 description 1
- 229930195729 fatty acid Natural products 0.000 description 1
- 239000000194 fatty acid Substances 0.000 description 1
- 150000004665 fatty acids Chemical class 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 230000012010 growth Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 235000008935 nutritious Nutrition 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 239000013535 sea water Substances 0.000 description 1
- 235000014102 seafood Nutrition 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
- A61B6/508—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for non-human patients
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5205—Devices using data or image processing specially adapted for radiation diagnosis involving processing of raw data to produce diagnostic data
Definitions
- the invention relates to the technical field of shellfish muscle research and breeding, in particular to a method for detecting the cross-sectional area of the adductor muscle by X-rays to characterize the amount of shellfish muscle, and then using the ratio of the cross-sectional area of the adductor muscle to the area of the shell to characterize the column rate Methods.
- Bivalve molluscs are aquatic products that are widely loved by consumers at home and abroad. Many bivalve molluscs such as scallops, Jiang Jue, etc. have developed muscles (adductor muscles), and are delicious and nutritious, and are the main edible parts. In addition to fresh food, the dried products of these shellfish adductor muscles, commonly known as "scallops", are listed as the Eight Treasures of Seafood in China, and they also have high economic value. Therefore, the growth and quality of the adductor muscle has always been the first choice for genetic research and breeding of scallops and other shellfish.
- the patent with the publication number CN107873592A focuses on the breeding of Ezo scallops with high column rate and high-quality fatty acid adductor muscle, and the weight of Ezo scallops is used as one of the criteria for the breeding of Ezo scallops. Weight is currently the accepted standard for measuring the size of the adductor muscle.
- the adductor muscle of shellfish has a regular shape.
- the adductor muscle of scallop is approximately cylindrical, which is conducive to the measurement of muscle properties.
- the adductor muscle is wrapped in a hard shell.
- the measurement of the adductor muscle requires anatomy and a lot of work.
- the shellfish cannot survive after the measurement.
- individuals with high muscle mass cannot be reserved for seed use. This has become the main technical bottleneck for shellfish muscle growth, quality research, and cultivation of high-muscle shellfish species. How to achieve in vivo non-destructive testing of shellfish muscle traits, so that the determined individuals can survive and grow normally, and can be used as parents for seed breeding and genetic evaluation, which has become an urgent problem in the field of shellfish genetic research and breeding.
- the patent with publication number CN105223216A changes the angle between the X-ray emitter and the X-ray detector to realize X-ray irradiation and detection at various angles and realize the detection of the microstructure of the material.
- the patent with the publication number CN105358062B discloses a small medical X-ray imaging device that can obtain clear X-ray images at the same time under low radiation conditions.
- digital imaging technology X-ray information can be converted into digital signals. Through image reconstruction and image post-processing, low-dose radiation can still produce high-quality imaging.
- the above-mentioned characteristics of X-ray fluoroscopy imaging technology make it possible to apply it to non-destructively obtain the trait data of shellfish adductor muscle.
- the purpose of the present invention is to establish a rapid in vivo non-destructive detection and evaluation of shellfish muscle mass, through low-dose X-ray non-invasive detection, obtain clear shellfish adductor muscle cross-sectional image, and accurately obtain the transverse adductor muscle
- the cross-sectional area is used for in-vivo evaluation of muscle weight.
- a rapid in vivo non-destructive testing and evaluation method of shellfish muscle mass specifically including the following steps:
- the detection parameters in step (2) are: the distance between the X-ray emission source and the collector panel is 1.2m-1.5m; the X-ray emission source parameter setting: high voltage value 120 (KV), current 800uA; X-ray panel collection Instrument parameter settings: irradiation time 1500s, delay time 1000s, integration time 100ms, double exposure.
- the areas Area1 and Area2 of the checked adductor muscle and the standard scale are calculated by image processing software (for example, ImageJ software).
- the detection of the cross-sectional area of the shellfish adductor muscle is achieved by the above method. Since the cross-sectional area has a significant correlation with the weight of the adductor muscle, the cross-sectional area can be used as a criterion for species selection. In addition, through the in vivo examination of the cross-sectional area of the adductor muscle, the muscle growth status of the shellfish can be understood.
- the present invention has the following advantages: (1) It can realize rapid detection of the cross-sectional area of the shellfish adductor muscle, select shellfish species according to the cross-sectional area of the shellfish adductor muscle, and find a quick comparison A non-invasive method for species selection of shellfish; (2) In vivo detection of the cross-sectional area of the shellfish adductor muscle can be used to monitor muscle growth in real time during the breeding process; (3) By setting the detection parameters during the detection process , Obtain a clear image of the adductor muscle, and avoid the influence of the appearance of the shell on the image of the adductor muscle; (4) The device has a simple structure and fast detection speed.
- FIG. 1 is a schematic diagram of the structure of an X-ray image acquisition device in Embodiment 1 of the present invention.
- Fig. 2 is a schematic diagram of the placement position of the X-ray panel collector and the sample to be tested in Embodiment 1 of the present invention (the X-ray panel collector is in the front, and the scallop is in the back).
- Fig. 3 is an effect diagram of X-ray imaging of scallop adductor muscle in embodiment 1 of the present invention.
- Fig. 4 is a schematic diagram of measuring the area of the scallop obturator muscle in Example 2 of the present invention.
- Fig. 5 is an effect diagram of X-ray photographing of the adductor muscle of Ezo scallop under different parameter conditions in Example 3 of the present invention.
- a method for in vivo non-destructive testing of shellfish muscles the steps are as follows:
- X-ray radiation source parameter setting set high voltage: manually input the high voltage value of 120 (KV), click to get the set high voltage to confirm the setting is successful; similarly set the current to 800uA;
- X-ray panel acquisition instrument parameter setting select the software start mode and set according to the following parameters: Exposure Time 1500ms (irradiation time 1500s), Delay Time 1000ms (delay time 1000s), Integrate Time 100ms (integration time 100ms), double exposure (Double exposure); Click Apply to confirm the execution of this parameter;
- the X-ray image acquisition device is used to collect the X-ray image of the same scallop.
- the result is shown in Figure 5 (the left is the first setting, and the right is the second setting). It can be seen from the figure that when the shell imaging effect is close, the adductor muscle image is clear in the image obtained by the first setting, which can detect the size information of the adductor muscle more accurately.
- the first setting is a first setting:
- Radioactive source parameter setting high voltage value of 120 (KV), current of 800uA;
- X-ray panel collector parameter setting select the software start mode, and set according to the following parameters: Exposure Time 1500ms (irradiation time 1500s), Delay Time 1000ms (delay time 1000s), Integrate Time 100ms (integration time 100ms), double exposure (secondary time) Exposure); Click Apply to confirm the execution of this parameter.
- Radioactive source parameter setting high voltage value of 40 (KV), current of 300uA;
- X-ray panel collector parameter setting select the software start mode, and set according to the following parameters: Exposure Time 500ms (irradiation time 500s), Delay Time 500ms (delay time 500s), Integrate Time 50ms (integration time 50ms), double exposure (secondary time) Exposure); Click Apply to confirm the execution of this parameter.
- a total of 232 Yezo scallops of different ages and sizes are selected, and a total of 232 scallops of different ages are selected.
- the relevant scallops were dissected to measure the adductor muscle weight, and the correlation between the cross-sectional area of the ezo scallop and the weight of the actual meat column was calculated (Table 1). Very significant correlation, indicating that the area data of the scallop adductor muscle obtained under non-destructive conditions using the present invention can be used to reflect the true weight, and further indicate that the cross-sectional area can be used as a standard for shellfish species selection.
- this example also pays attention to whether short-term X-rays will affect the activity of scallops. After X-ray fluoroscopy, the individual did not experience reduced activity or death during the holding process. Individuals can also reproduce normally, and their offspring develop normally.
- Shell muscle weight calculate the correlation between the cross-sectional area of the two scallops adductor muscle and the weight of the real meat column, as well as the column rate (the proportion of the adductor muscle weight to the total weight) and the proportion of the adductor muscle cross-sectional area (closed shell) The correlation between the ratio of muscle cross-sectional area and shell area) (Table 2).
- the results show that the cross-section of the adductor muscle of the two scallops is extremely significantly correlated with the weight of the adductor muscle, indicating that the area data of the adductor muscle obtained by using the present invention under non-destructive conditions can be used to reflect the true weight of the adductor muscle.
- the ratio of the cross-sectional area of the shell muscle to the area of the shell can reflect the column rate, which indicates that the cross-sectional area of the adductor muscle and the proportion of the cross-sectional area of the adductor muscle can be used as a criterion for shellfish selection.
- the detection of the cross-sectional area of the shellfish adductor muscle is achieved by the above method. Since there is a significant correlation between the cross-sectional area and the weight of the adductor muscle, and the proportion of the cross-sectional area of the adductor muscle is significantly related to the column out rate, the cross-sectional area of the adductor muscle and the proportion of the cross-sectional area can be used as the criteria for selection. ; In addition, through the in vivo examination of the cross-sectional area of the adductor muscle, the muscle growth status of the shellfish can be understood.
- the present invention aims to break through the traditional method in which the weight of the adductor muscle must be obtained by dissecting the individual shellfish to be tested, so that the technical bottleneck of in vivo detection cannot be realized, and a clear image of the adductor muscle can be obtained through optical non-destructive detection and accurately measured.
- the cross-sectional area provides a new platform for the determination, evaluation and breed selection of shellfish adductor muscle traits.
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Abstract
Description
一龄贝 | 三龄贝 | |
r(闭壳肌面积与重量) | 0.937** | 0.855** |
P value | 2.84E-21 | 1.58E-22 |
Claims (5)
- 一种快速的活体无损检测和评价贝类肌肉量的方法,其特征在于,具体包括以下步骤:(1)收集和挑选待测活体贝;(2)安装好X光射线采集装置,设置检测参数,将待测活体贝,左壳朝上平放于X射线面板采集仪中心位置,将面积为A的标准比例尺放置于扇贝一侧,确保标准比例尺与活体贝成像不重叠;(3)触发X射线放射源进行拍摄,得到待测活体贝和标准比例尺的X射线图像,调整对比度及亮度以获得清晰的闭壳肌和标准比例尺的轮廓,然后确定闭壳肌的面积。
- 根据权利要求2所述的快速的活体无损检测和评价贝类肌肉量的方法,其特征在于,通过图像处理软件计算勾选出的闭壳肌、标准比例尺的面积Area1和Area2。
- 根据权利要求2或3所述的活体无损检测贝类肌肉的方法,其特征在于,所述检测参数为:X光发射源与采集仪面板间距为1.2m-1.5m;X光放射源参数设置:高压值120(KV),电流为800uA;X射线面板采集仪参数设置:照射时间1500s,延迟时间1000s,整合时间100ms,二次曝光。
- 根据权利要求1-3任一项所述的活体无损检测贝类肌肉的方法,其特征在于,无损条件下所获得扇贝闭壳肌的横截面积数据可以用来反映闭壳肌真实重量。
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CN113030130A (zh) * | 2021-02-24 | 2021-06-25 | 中国水产科学研究院渔业机械仪器研究所 | 一种贝类肥满度判别的方法及系统 |
CN114176033B (zh) * | 2021-12-07 | 2022-10-21 | 中国海洋大学 | 双壳贝类肌肉组织非致死性采样装置及方法 |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0557537B2 (zh) * | 1987-10-19 | 1993-08-24 | Hitachi Plant Eng & Constr Co | |
CN101750033A (zh) * | 2008-12-16 | 2010-06-23 | 株式会社石田 | X射线检查装置 |
CN106529552A (zh) * | 2016-11-03 | 2017-03-22 | 中国海洋大学 | 一种扇贝贝壳生长纹路的分割与识别方法 |
CN207413818U (zh) * | 2017-08-31 | 2018-05-29 | 无锡日联科技股份有限公司 | 一种应用于贝壳的全自动x射线检测、分拣系统 |
CN109169465A (zh) * | 2018-09-04 | 2019-01-11 | 中国水产科学研究院黄海水产研究所 | 智能化测定水下活体对虾生长参数的系统和方法 |
CN208505831U (zh) * | 2018-07-25 | 2019-02-15 | 山东省海洋生物研究院 | 一种贝肉中含沙量的测定装置 |
CN110720937A (zh) * | 2019-10-15 | 2020-01-24 | 中国海洋大学 | 一种快速的活体无损检测和评价贝类肌肉量的方法 |
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Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0557537B2 (zh) * | 1987-10-19 | 1993-08-24 | Hitachi Plant Eng & Constr Co | |
CN101750033A (zh) * | 2008-12-16 | 2010-06-23 | 株式会社石田 | X射线检查装置 |
CN106529552A (zh) * | 2016-11-03 | 2017-03-22 | 中国海洋大学 | 一种扇贝贝壳生长纹路的分割与识别方法 |
CN207413818U (zh) * | 2017-08-31 | 2018-05-29 | 无锡日联科技股份有限公司 | 一种应用于贝壳的全自动x射线检测、分拣系统 |
CN208505831U (zh) * | 2018-07-25 | 2019-02-15 | 山东省海洋生物研究院 | 一种贝肉中含沙量的测定装置 |
CN109169465A (zh) * | 2018-09-04 | 2019-01-11 | 中国水产科学研究院黄海水产研究所 | 智能化测定水下活体对虾生长参数的系统和方法 |
CN110720937A (zh) * | 2019-10-15 | 2020-01-24 | 中国海洋大学 | 一种快速的活体无损检测和评价贝类肌肉量的方法 |
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