Уменьшение дозы облучения пациента при томографическом исследовании путём применения оптимизированного алгоритма обратного проецирования; Перспективы развития фундаментальных наук; Т. 1 : Физика

Detalles Bibliográficos
Parent link:Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XIV Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 25-28 апреля 2017 г./ Национальный исследовательский Томский политехнический университет (ТПУ) ; под ред. И. А. Курзиной, Г. А. Вороновой.— , 2017
Т. 1 : Физика.— 2017.— [С. 252-254]
Autor Principal: Оздиев А. Х. Али Хосенович
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра общей физики (ОФ)
Outros autores: Крючков Ю. Ю. Юрий Юрьевич (научный руководитель)
Summary:Заглавие с экрана
X-Ray tomography is one of widespread methods of medical diagnostics. Due to its opportunity to visualize inside structure of scanned object it allows to diagnose, for example, cancer cells. Modern medical tomographic setups have lots of advantages such as high resolution, which allows to visualize objects of very small size, high level of reproducibility, which allows to verify obtained results, simplicity of utilization etc. There is certain amount of improvements still can be applied. One of most significant challenges is reducing of radiation dose. Diagnostics of complex structures sometimes requires more time of measurements. That means that dose will increase with time. This work proposes optimized filtered backprojection algorithm as solution for the problem of radiation dose level.
Idioma:ruso
Publicado: 2017
Subjects:
Acceso en liña:http://earchive.tpu.ru/handle/11683/41461
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=622689
Descripción
Summary:Заглавие с экрана
X-Ray tomography is one of widespread methods of medical diagnostics. Due to its opportunity to visualize inside structure of scanned object it allows to diagnose, for example, cancer cells. Modern medical tomographic setups have lots of advantages such as high resolution, which allows to visualize objects of very small size, high level of reproducibility, which allows to verify obtained results, simplicity of utilization etc. There is certain amount of improvements still can be applied. One of most significant challenges is reducing of radiation dose. Diagnostics of complex structures sometimes requires more time of measurements. That means that dose will increase with time. This work proposes optimized filtered backprojection algorithm as solution for the problem of radiation dose level.