鱼类目标强度测量是渔业水声学工作的核心内容之一。本研究采用基尔霍夫近似模型对19尾多鳞鱚(Sillago sihama)样品的理论目标强度进行近似计算,模型计算所需鱼类形态学参数由中国水产科学研究院南海水产研究所所属X光机(SOFTEX M-100)...鱼类目标强度测量是渔业水声学工作的核心内容之一。本研究采用基尔霍夫近似模型对19尾多鳞鱚(Sillago sihama)样品的理论目标强度进行近似计算,模型计算所需鱼类形态学参数由中国水产科学研究院南海水产研究所所属X光机(SOFTEX M-100)拍摄X光影像获得。通过编程计算获得多鳞鱚不同频率下目标强度随姿态倾角的变化图案,并通过数据拟合方法建立了不同频率和倾角分布函数下多鳞鱚目标强度随体长变化的经验公式,并与常规的b20表式进行对比。结果表明:在70 kHz、120 kHz和200 kHz 3种频率下多鳞鱚目标强度的倾角变化图案呈多峰状特征分布,且频率越高目标强度对倾角变化越敏感,波峰数增加,目标强度最大值对应的倾角增大。70 k Hz下多鳞鱚目标强度最大值出现在–15°~5°,120 k Hz和200 k Hz下目标强度最大值则出现在–10°~0°,且各频率下目标强度最大值出现的位置各不相同。不同频率及倾角分布函数下多鳞鱚目标强度随体长变化特性各不相同,其中在角度函数为(–5°,15°)、频率为120 kHz,以及角度函数为(0°,10°)、频率为200 k Hz时目标强度对体长经验公式和常规的b_(20)表式曲线基本重合,拟合度较高,可将常规的b20表式直接用于多鳞鱚的资源评估;而其他情形下2种表式存在一定偏差,采用直接拟合的参数方程更为恰当。研究表明,基尔霍夫近似模型能够很好地反映多鳞鱚的目标强度特性,可为中国南海近岸鱼类目标强度研究提供有益借鉴,为提高渔业资源水声学评估的准确度和可信度提供科学依据。展开更多
After drawbacks and shortages of using conventional kV or MV imaging mode were analyzed, this study proposes a new position verification mode with using the energy larger than 15 MeV or nominal accelerating potential ...After drawbacks and shortages of using conventional kV or MV imaging mode were analyzed, this study proposes a new position verification mode with using the energy larger than 15 MeV or nominal accelerating potential greater than 25 MV X-Ray. The new position verification mode is named HMV imaging mode. Along with the comparison of theoretical analyses, phantom experiments and clinical results to the original imaging modes, this report is going to demonstrate the HMV imaging mode is superior to traditional kV and MV imaging modes. This report first theoretically analyzed three main effects of X-ray interacting with medium by numerous equations and compared their mass attenuation coefficient with different types of tissue. X-ray irradiated on a “Catphan 500” cylinder phantom with different energies to verify these theoretical results. Furthermore, based on phantom experiments’ results, we have done numerous clinical trials and comparisons with patient’s clinical results. The theoretical and experimental results illustrate that the scanned images from HMV mode have a good quality and have ability to identify different tissue components clearly. HMV imaging mode overcomes drawbacks of position verification from both kV and MV level imaging mode as well as keeping advantages of kV and MV imaging mode. The result indicates that HMV is a good position verification mode in radiotherapy.展开更多
文摘鱼类目标强度测量是渔业水声学工作的核心内容之一。本研究采用基尔霍夫近似模型对19尾多鳞鱚(Sillago sihama)样品的理论目标强度进行近似计算,模型计算所需鱼类形态学参数由中国水产科学研究院南海水产研究所所属X光机(SOFTEX M-100)拍摄X光影像获得。通过编程计算获得多鳞鱚不同频率下目标强度随姿态倾角的变化图案,并通过数据拟合方法建立了不同频率和倾角分布函数下多鳞鱚目标强度随体长变化的经验公式,并与常规的b20表式进行对比。结果表明:在70 kHz、120 kHz和200 kHz 3种频率下多鳞鱚目标强度的倾角变化图案呈多峰状特征分布,且频率越高目标强度对倾角变化越敏感,波峰数增加,目标强度最大值对应的倾角增大。70 k Hz下多鳞鱚目标强度最大值出现在–15°~5°,120 k Hz和200 k Hz下目标强度最大值则出现在–10°~0°,且各频率下目标强度最大值出现的位置各不相同。不同频率及倾角分布函数下多鳞鱚目标强度随体长变化特性各不相同,其中在角度函数为(–5°,15°)、频率为120 kHz,以及角度函数为(0°,10°)、频率为200 k Hz时目标强度对体长经验公式和常规的b_(20)表式曲线基本重合,拟合度较高,可将常规的b20表式直接用于多鳞鱚的资源评估;而其他情形下2种表式存在一定偏差,采用直接拟合的参数方程更为恰当。研究表明,基尔霍夫近似模型能够很好地反映多鳞鱚的目标强度特性,可为中国南海近岸鱼类目标强度研究提供有益借鉴,为提高渔业资源水声学评估的准确度和可信度提供科学依据。
文摘After drawbacks and shortages of using conventional kV or MV imaging mode were analyzed, this study proposes a new position verification mode with using the energy larger than 15 MeV or nominal accelerating potential greater than 25 MV X-Ray. The new position verification mode is named HMV imaging mode. Along with the comparison of theoretical analyses, phantom experiments and clinical results to the original imaging modes, this report is going to demonstrate the HMV imaging mode is superior to traditional kV and MV imaging modes. This report first theoretically analyzed three main effects of X-ray interacting with medium by numerous equations and compared their mass attenuation coefficient with different types of tissue. X-ray irradiated on a “Catphan 500” cylinder phantom with different energies to verify these theoretical results. Furthermore, based on phantom experiments’ results, we have done numerous clinical trials and comparisons with patient’s clinical results. The theoretical and experimental results illustrate that the scanned images from HMV mode have a good quality and have ability to identify different tissue components clearly. HMV imaging mode overcomes drawbacks of position verification from both kV and MV level imaging mode as well as keeping advantages of kV and MV imaging mode. The result indicates that HMV is a good position verification mode in radiotherapy.