medvisМедицинская визуализацияMedical Visualization1607-07632408-9516RDS-Media Ltd.10.24835/1607-0763-2020-3-107-113medvis-954Research ArticleГРУДНАЯ КЛЕТКАTHORAXВозможности применения модель-базированных итеративных реконструкций при компьютерной томографии легкихPossibilities of applying model-based iterative reconstructions in computed tomography of the lungshttps://orcid.org/0000-0003-4952-2347СилинА. Ю.SilinA. Yu.

Силин Антон Юрьевич – врач-рентгенолог высшей квалификационной категории, руководитель отделения лучевой диагностики; научный сотрудник

111033 Москва, Волочаевская ул., 15, к. 1, Российская Федерация;

125124 Москва, ул. Расковой, д. 16/26, стр. 1, Российская Федерация

Anton Yu. Silin – Radiologist of the Highest Qualification Category, Head of Radiology Department; Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies

15-1, Volochaevskaya str., Moscow, 111033, Russian Federation;

16-26-1, Raskovoy str., Moscow, 125124, Russian Federation

silin@yamed.ruhttps://orcid.org/0000-0003-0781-9898ГруздевИ. С.GruzdevI. S.

Груздев Иван Сергеевич – аспирант отделения рентгенологии и магнитно-резонансных методов исследования

117997 Москва, ул. Большая Серпуховская, д. 27, Российская Федерация

Ivan S. Gruzdev – graduate student of Radiology Department

27, Bol'shaya Serpukhovskaia str., Moscow, 117997, Russian Federation

https://orcid.org/0000-0002-7077-7320БерковичГ. В.BerkovichG. V.

Беркович Глеб Владимирович – заведующий кабинетом рентгеновской компьютерной томографии

197341 Санкт-Петербург, ул. Аккуратова, д. 2, Российская Федерация

Gleb V. Berkovich – Head of the CT office

2, Akkuratova str., St. Petersburg, 197341, Russian Federation

https://orcid.org/0000-0001-5151-4579НиколаевА. Е.NikolaevA. E.

Николаев Александр Евгеньевич – младший научный сотрудник отдела развития качества радиологии

125124 Москва, ул. Расковой, д. 16/26, стр. 1, Российская Федерация

Aleksandr E. Nikolaev – junior researcher of Department of Radiology Quality Development

16-26-1, Raskovoy str., Moscow, 125124, Russian Federation

https://orcid.org/0000-0001-6545-6170МорозовС. П.MorozovS. P.

Морозов Сергей Павлович – доктор медицинских наук, профессор, директор

125124 Москва, ул. Расковой, д. 16/26, стр. 1, Российская Федерация

Sergey P. Morozov – Medical doctor, Professor, Director

16-26-1, Raskovoy str., Moscow, 125124, Russian Federation

ООО “Клинический госпиталь на Яузе”; ГБУЗ “Научно-практический клинический центр диагностики и телемедицинских технологий Департамента здравоохранения города Москвы”РоссияClinical hospital on Yauza; Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of MoscowRussian FederationФГБУ “НМИЦ хирургии имени А.В. Вишневского” Минздрава РоссииРоссияA.V. Vishnevsky National Medical Research Center of SurgeryRussian FederationФГБУ “НМИЦ имени В.А. Алмазова” Минздрава РоссииРоссияAlmazov National Medical Research CentreRussian FederationГБУЗ “Научно-практический клинический центр диагностики и телемедицинских технологий Департамента здравоохранения города Москвы”РоссияResearch and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Health Care of MoscowRussian Federation202009102020243107113Copyright © Силин А.Ю., Груздев И.С., Беркович Г.В., Николаев А.Е., Морозов С.П., 20202020Силин А.Ю., Груздев И.С., Беркович Г.В., Николаев А.Е., Морозов С.П.Silin A.Y., Gruzdev I.S., Berkovich G.V., Nikolaev A.E., Morozov S.P.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://medvis.rdsmedia.ru/jour/article/view/954Цель исследования

Цель исследования: литературный обзор возможностей применения модельной итеративной реконструкции (МИР) при компьютерной томографии (КТ) для улучшения качества изображения, в том числе при низкодозовых протоколах сканирования.

Материал и методы

Материал и методы. Проведен анализ публикаций, посвященных применению МИР для снижения дозы облучения и улучшения качества изображений при КТ-диагностике патологии легких с акцентом на значение достигнутой дозы облучения.

Результаты

Результаты. Применение МИР позволяет устранять цифровой шум с медицинских изображений, улучшая их качество. Это свойство позволяет значительно снижать лучевую нагрузку при низкодозных протоколах без потери диагностического качества. В среднем использование МИР позволяет снизить дозу облучения на 70% по сравнению со стандартным протоколом, не повышая шумность КТ-изображений и сохраняя соотношение контраст/шум. Предыдущие исследования показали положительный опыт использования МИР в программах скрининга рака легкого и мониторинге онкологических пациентов.

Заключение

Заключение. Внедрение МИР в клиническую практику может оптимизировать лучевую нагрузку на популяцию, не снижая качество КТ-изображений, однако пороговые значения дозы облучения для достижения удовлетворительного качества изображения остаются неизученными.

Aim

Aim: A literature review of the possibilities of applying model iterative reconstruction (MIR) in computed tomography to improve image quality, including in low-dose scanning protocols.

Materials and methods

Materials and methods. The analysis of publications devoted to the application of MIR to reduce the radiation dose and improve the quality of images in CT diagnostics of lung pathology with an emphasis on the value of the achieved radiation dose was carried out.

Results

Results. The use of MIR eliminates digital noise from medical images, improving their quality. This feature can significantly reduce radiation exposure with low-dose protocols without loss of diagnostic quality. On average, application of MIR allows to reduce the radiation dose by 70% compared to a standard protocol, without increasing the noise level of CT images and maintaining the contrast-to-noise ratio. Previous studies have shown positive experience with the use of MIR in lung cancer screening programs and monitoring of cancer patients.

Conclusion

Conclusion. The introduction of MIR in clinical practice can optimize the radiation exposure on the population without reducing the quality of CT images, however, the threshold dose to achieve a satisfactory image quality remains unexplored.

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The authors declare that there are no conflicts of interest present.