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Lossless detection method for fat volume of hepatopancreas and gonad of Eriocheir sinensis

A Chinese mitten crab, non-destructive testing technology, applied in the direction of measuring devices, instruments, nuclear magnetic resonance analysis, etc., can solve problems that have not yet been discovered

Active Publication Date: 2016-06-29
SHANGHAI OCEAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Through retrieving relevant materials at home and abroad, no method has been found to judge the fullness of the hepatopancreas and gonads of Chinese mitten crab by non-destructive testing of the fat volume of the hepatopancreas and gonads

Method used

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  • Lossless detection method for fat volume of hepatopancreas and gonad of Eriocheir sinensis
  • Lossless detection method for fat volume of hepatopancreas and gonad of Eriocheir sinensis
  • Lossless detection method for fat volume of hepatopancreas and gonad of Eriocheir sinensis

Examples

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Effect test

Embodiment 1

[0042] Wrap the fresh and alive mitten crab with a weight of 120g with polyethylene film, put it into the 60mm coil of the nuclear magnetic resonance imaging analyzer, adjust the position, and then optimize 1 The parameters of HMRI specifically include FOVRead=80mm, FOVPhase=100mm, repetition time=300ms, delay time=13ms and slice thickness=2.5mm. Will 1 The MSE sequence in the HMRI software collects whole-body images of Chinese mitten crabs and scans them into 16 2-D images 1 HMRI slice images, each slice size is 2mm, through 2-D images, the shape and size of tissues and organs such as hepatopancreas, gonads, muscles and gills of Chinese mitten crab can be observed with naked eyes. Then further determine the threshold limit and range of each slice through MatLab software (the gray cut value ranges from 40,000-70,000), and calculate the pixel points representing high fat content (according to the brightness of fat) and the fat content of each slice. The fat volume of the hepa...

Embodiment 2

[0044] Wrap fresh and alive mitten crabs weighing 150g with polyethylene film, put them into a 70mm coil, adjust the position, and then optimize 1 The parameters of HMRI specifically include FOVRead=10mm, FOVPhase=100mm, repetition time=300ms, delay time=13.5ms and slice thickness=3mm. Will 1 The MSE sequence in the HMRI software collects the whole body image of the Chinese mitten crab and scans it into 18 2-D 1 HMRI slice images (see figure 1 ), the size of each slice is 2mm, and the shape and size of tissues and organs such as hepatopancreas, gonads, muscles and gills of Eriocheir sinensis can be observed with naked eyes through 2-D images. Then further determine the threshold limit and range of each slice through MatLab software (the gray cut value ranges from 45,000-65,500), so that the pixel points representing high fat content (according to the brightness of fat) and area of ​​fat (see figure 2 ), and then estimated the fat volume of the hepatopancreas and gonads in...

Embodiment 3

[0046] Wrap fresh and alive mitten crabs weighing 180g with polyethylene film, put them into an 80mm coil, adjust the position, and then optimize 1 The parameters of HMRI specifically include FOVRead=10mm, FOVPhase=100mm, repetition time=360ms, delay time=14ms and slice thickness=3mm. Will 1 The MSE sequence in the HMRI software collects whole-body images of Chinese mitten crabs and scans them into 20 2-D images 1 HMRI slice images, each slice size is 3mm, the shape and size of tissues and organs such as hepatopancreas, gonads, muscles and gills of Chinese mitten crab can be observed with naked eyes through 2-D images. Then further determine the threshold limit and range of each slice through MatLab (the grayscale cut value ranges from 50,000-65,500), so that the pixel points representing high fat content (according to the brightness of fat) and fat content of each slice can be calculated , and then estimated the fat volume of the hepatopancreas and gonads in the whole Erioc...

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Abstract

The invention discloses a lossless detection method for the fat volume of hepatopancreas and gonad of Eriocheir sinensis. The 1H MRI technology based method comprises the following steps that (1) the whole Eriocheir sinensis is scanned by using the 1H MRI technology, and 2-D slice imaging is carried out to obtain multiple slices; (2) the fat area of each slice is calculated; and (3) a 3-D model is established to estimate the fat volume of the hepatopancreas and gonad of Eriocheir sinensis. According to the method, the 1H MRI technology is used to detect the fat volume of the hepatopancreas and gonad of Eriocheir sinensis without loss and further to determine the fullness of the hepatopancreas and gonad; and the method has the advantages including high accuracy, high reliability, lossless and rapid detection and simple operation, provides scientific basis for pre-market quality control for Eriocheir sinensis, and has higher popularization and application values.

Description

technical field [0001] The invention relates to a method for detecting the fat volume of the hepatopancreas and gonads of Chinese mitten crab, more specifically to a method for non-destructively detecting the fat volume of the hepatopancreas and gonads of the Chinese mitten crab. The method is based on 1 HMRI technology. Background technique [0002] Eriocheir sinensis is a unique and valuable aquatic product in China. It is cultured artificially in most provinces and cities across the country, especially in Jiangsu and Zhejiang. In 2014, the aquaculture output of mitten crab reached 796,500 tons, with an annual output value of about 40 billion yuan. The hepatopancreas and gonads of Chinese mitten crab are important edible parts, and the crabs with well-developed gonads have high nutritional and economic value. The quality of gonad development directly affects its economic value and nutritional value. In East China, the development of male and female gonads is usually close...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01B7/00G01N24/08
CPCG01B7/00G01N24/08
Inventor 张洪才吴旭干张炜佳赵勇成永旭
Owner SHANGHAI OCEAN UNIV
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