{"title":"微波成像中基于旋转的ART算法图像重建","authors":"Rian Gilang Prabowo, Ria Aprilliyani, Basari","doi":"10.1109/PIERS-FALL.2017.8293364","DOIUrl":null,"url":null,"abstract":"The increase of the number of people who die due to tumors is basically able to be prevented by early detection methods. One of the detection methods is by using an imaging technique systems. In this paper, we study microwave imaging system for detection the location of suspicious tumor, due to its advantageous properties such as non-invasive method without any ionization drawback. This paper investigates a tomography method in order to reconstruct an image from the acquired data. To acquire the data, we develop a data acquisition system by using rotational technique without any translational acquisition method. By this rotational technique, scan time will be faster and simpler in comparison with translational and rotational method. The proposed imaging system utilizes two pieces of 3 GHz dipole antennas with a cylindrical phantom that is put in the center as a targeted object. The data acquisition system uses a portable signal generator and spectrum analyzer from Signal Hound™ products, so we do not need vector network analyzer for developing this system. Then, an Algebraic Reconstruction Technique (ART) algorithm is used to reconstruct the desired image from the acquired data. The simulated and measured analyses are conducted with some resolution images from 16 × 16 pixel up to 64 × 64 pixel.","PeriodicalId":39469,"journal":{"name":"Advances in Engineering Education","volume":"90 1","pages":"1474-1478"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rotation-based image reconstruction by using ART algorithm in microwave imaging\",\"authors\":\"Rian Gilang Prabowo, Ria Aprilliyani, Basari\",\"doi\":\"10.1109/PIERS-FALL.2017.8293364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increase of the number of people who die due to tumors is basically able to be prevented by early detection methods. One of the detection methods is by using an imaging technique systems. In this paper, we study microwave imaging system for detection the location of suspicious tumor, due to its advantageous properties such as non-invasive method without any ionization drawback. This paper investigates a tomography method in order to reconstruct an image from the acquired data. To acquire the data, we develop a data acquisition system by using rotational technique without any translational acquisition method. By this rotational technique, scan time will be faster and simpler in comparison with translational and rotational method. The proposed imaging system utilizes two pieces of 3 GHz dipole antennas with a cylindrical phantom that is put in the center as a targeted object. The data acquisition system uses a portable signal generator and spectrum analyzer from Signal Hound™ products, so we do not need vector network analyzer for developing this system. Then, an Algebraic Reconstruction Technique (ART) algorithm is used to reconstruct the desired image from the acquired data. The simulated and measured analyses are conducted with some resolution images from 16 × 16 pixel up to 64 × 64 pixel.\",\"PeriodicalId\":39469,\"journal\":{\"name\":\"Advances in Engineering Education\",\"volume\":\"90 1\",\"pages\":\"1474-1478\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Engineering Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIERS-FALL.2017.8293364\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIERS-FALL.2017.8293364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
Rotation-based image reconstruction by using ART algorithm in microwave imaging
The increase of the number of people who die due to tumors is basically able to be prevented by early detection methods. One of the detection methods is by using an imaging technique systems. In this paper, we study microwave imaging system for detection the location of suspicious tumor, due to its advantageous properties such as non-invasive method without any ionization drawback. This paper investigates a tomography method in order to reconstruct an image from the acquired data. To acquire the data, we develop a data acquisition system by using rotational technique without any translational acquisition method. By this rotational technique, scan time will be faster and simpler in comparison with translational and rotational method. The proposed imaging system utilizes two pieces of 3 GHz dipole antennas with a cylindrical phantom that is put in the center as a targeted object. The data acquisition system uses a portable signal generator and spectrum analyzer from Signal Hound™ products, so we do not need vector network analyzer for developing this system. Then, an Algebraic Reconstruction Technique (ART) algorithm is used to reconstruct the desired image from the acquired data. The simulated and measured analyses are conducted with some resolution images from 16 × 16 pixel up to 64 × 64 pixel.
期刊介绍:
The journal publishes articles on a wide variety of topics related to documented advances in engineering education practice. Topics may include but are not limited to innovations in course and curriculum design, teaching, and assessment both within and outside of the classroom that have led to improved student learning.