title: ÐÐ»Ð¸ÑÐ½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÐºÐ¾ÑÑÐµÐºÑÐ¸Ð¸ Ð°ÑÑÐµÑÐ°ÐºÑÐ¾Ð² iMAR Ð¿ÑÐ¸ ÑÐ¾Ð¿Ð¾Ð¼ÐµÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÐÐ¢ Ð½Ð° Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¸ ÑÐ¾ÑÐ½Ð¾ÑÑÑ ÑÐ°ÑÑÑÑÐ° Ð´Ð¾Ð·Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Influence of IMAR artifact correction algorithms in topometric CT on visualization and accuracy of dose calculation
Creators: name: ÐÑÑÐ½Ð°ÑÐµÐ½ÐºÐ¾, Ð¡ÑÐ°Ð½Ð¸ÑÐ»Ð°Ð²
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð°Ñ ÑÐ¾Ð¼Ð¾Ð³ÑÐ°ÑÐ¸Ñ
Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÐºÐ¾ÑÑÐµÐºÑÐ¸Ð¸ iMAR
ÐµÐ´Ð¸Ð½Ð¸ÑÑ Ð¥Ð°ÑÐ½ÑÑÐ¸Ð»Ð´Ð°
Ð¼ÐµÑÐ°Ð»Ð»Ð¸ÑÐµÑÐºÐ¸Ðµ Ð°ÑÑÐµÑÐ°ÐºÑÑ
ÑÐºÐ°Ð½ÐµÑÐºÐ²Ð¸Ð²Ð°Ð»ÐµÐ½ÑÐ½ÑÐ¹ ÑÐ°Ð½ÑÐ¾Ð¼
ÑÐµÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð¸ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
computed tomography
iMAR correction algorithms
Hounsfield units
metal artifacts
tissue equivalent phantom
image reconstructions

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÐºÐ¾ÑÑÐµÐºÑÐ¸Ð¸ iMAR Ð½Ð° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð²Ð¾ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ ÐµÐ´Ð¸Ð½Ð¸Ñ Ð¥Ð°ÑÐ½ÑÑÐ¸Ð»Ð´Ð° Ð¾Ñ Ð¼ÐµÑÐ°Ð»Ð»Ð¸ÑÐµÑÐºÐ¸Ñ Ð°ÑÑÐµÑÐ°ÐºÑÐ¾Ð². ÐÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· ÐÐ¢-Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ ÑÐºÐ°Ð½ÐµÑÐºÐ²Ð¸Ð²Ð°Ð»ÐµÑÐ½Ð¾Ð³Ð¾ ÑÐ°Ð½ÑÐ¾Ð¼Ð° Ð¸ Ð¿Ð°ÑÐ¸ÐµÐ½ÑÐ¾Ð² Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐ¼Ð¸ Ð¼ÐµÑÐ°Ð»Ð»Ð¸ÑÐµÑÐºÐ¸Ð¼Ð¸ ÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸ÑÐ¼Ð¸. ÐÐ´Ð¸Ð½Ð¸ÑÑ Ð¥Ð°ÑÐ½ÑÑÐ¸Ð»Ð´Ð° Ð±ÑÐ»Ð¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ñ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ²Ð¾Ð±Ð¾Ð´Ð½Ð¾ ÑÐ°ÑÐ¿ÑÐ¾ÑÑÑÐ°Ð½ÑÐµÐ¼Ð¾Ð³Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ RadiAnt DICOM Viewer 2023.1 Ð¸ Ð¾ÑÐ¸Ð³Ð¸Ð½Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð¾Ñ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»Ñ ÐÐ¢ (Siemens) Syngo. ÐÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÑÐ½ ÑÑÐ°ÑÐ¸ÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð»Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ñ Ð²Ð¾Ð¿ÑÐ¾ÑÐ¾Ð²: ÑÑÐµÐ¿ÐµÐ½Ñ Ð¸ÑÐºÐ°Ð¶ÐµÐ½Ð¸Ñ Ð¸ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð²Ð¾ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ ÐµÐ´Ð¸Ð½Ð¸Ñ Ð¥Ð°ÑÐ½ÑÑÐ¸Ð»Ð´Ð° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°Ð¼Ð¸ ÐºÐ¾ÑÑÐµÐºÑÐ¸Ð¸ iMAR Ð¿ÑÐ¸ ÑÐ°Ð·Ð»Ð¸ÑÐ½Ð¾Ð¹ ÐºÐ¾Ð½ÑÐ¸Ð³ÑÑÐ°ÑÐ¸Ð¸ Ð¼ÐµÑÐ°Ð»Ð»Ð¸ÑÐµÑÐºÐ¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð² Ð² ÑÐºÐ°Ð½ÐµÑÐºÐ²Ð¸Ð²Ð°Ð»ÐµÐ½ÑÐ½Ð¾Ð¼ ÑÐ°Ð½ÑÐ¾Ð¼Ðµ, ÑÑÐµÐ¿ÐµÐ½Ñ Ð¾ÑÐºÐ»Ð¾Ð½ÐµÐ½Ð¸Ñ Ð²Ð¾ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð½ÑÑ ÐµÐ´Ð¸Ð½Ð¸Ñ Ð¥Ð°ÑÐ½ÑÑÐ¸Ð»Ð´Ð° Ð¾Ñ Ð¸ÑÑÐ¸Ð½Ð½ÑÑ Ð·Ð½Ð°ÑÐµÐ½Ð¸Ð¹ Ð´Ð»Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÑÐ¸Ð¿Ð¾Ð² ÑÐºÐ°Ð½ÐµÐ¹ Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÐºÐ¾ÑÑÐµÐºÑÐ¸Ð¸, ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² iMAR ÐÐ¢ Ð¿ÑÐ¸ ÑÑÑÑÐ°Ð½ÐµÐ½Ð¸Ð¸ Ð°ÑÑÐµÑÐ°ÐºÑÐ¾Ð² Ð¾Ñ Ð¼ÐµÑÐ°Ð»Ð»Ð¸ÑÐµÑÐºÐ¸Ñ ÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð¹ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð³Ð¾Ð»Ð¾Ð²Ñ Ð¸ Ð¿Ð¾Ð·Ð²Ð¾Ð½Ð¾ÑÐ½Ð¸ÐºÐ°,Â  Ð° ÑÐ°ÐºÐ¶Ðµ Ð¾ÑÐ¸Ð±ÐºÐ¸ Ð² ÑÐ°ÑÑÐµÑÐµ Ð´Ð¾Ð·Ñ Ð½Ð° Ð¼Ð¸ÑÐµÐ½Ñ Ð¾Ð±Ð»ÑÑÐµÐ½Ð¸Ñ Ð¸ Ð¾ÑÐ³Ð°Ð½Ñ ÑÐ¸ÑÐºÐ° Ð² Ð¿ÑÐ¸ÑÑÑÑÑÐ²Ð¸Ðµ Ð°ÑÑÐµÑÐ°ÐºÑÐ¾Ð² Ð¸ Ð¿Ð¾ÑÐ»Ðµ Ð¸Ñ ÐºÐ¾ÑÑÐµÐºÑÐ¸Ð¸. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°Ð»Ð¸, ÑÑÐ¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÑÐµÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð¸ iMAR Ð¿Ð¾ÐºÐ°Ð·Ð°Ð»Ð¸ ÑÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ðµ Ð²Ð¾ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ðµ Ð¸ÑÐºÐ°Ð¶ÐµÐ½Ð½ÑÑ Ð¼ÐµÑÐ°Ð»Ð»Ð¸ÑÐµÑÐºÐ¸Ð¼Ð¸ Ð°ÑÑÐµÑÐ°ÐºÑÐ°Ð¼Ð¸ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð¸ Ð¼Ð¾Ð³ÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑÑÑ Ð² ÑÐ¸ÑÑÐµÐ¼Ðµ Ð¿Ð»Ð°Ð½Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð»ÐµÑÐµÐ½Ð¸Ñ Ð»ÑÑÐµÐ²Ð¾Ð¹ ÑÐµÑÐ°Ð¿Ð¸Ð¸.
description: The given work is devoted to the study of iMAR algorithms on the effectiveness of Hounsfield units recovery in the area of metal artifacts.Â  CT images obtained for tissue equivalent phantom and patients with metal constructions have been analyzed. Hounsfield units were measured with the help of freely distributed software RadiAnt DICOM Viewer 2023.1 and the original software from CT manufacture (Siemens) Syngo. Statistical analysis was carried out to study the following questions: the degree of HU deviation and the effectiveness of iMAR algorithms for HU reconstruction on CT images with different configurations of metal objects in the tissue equivalent phantom, the degree of deviation of the restored Hounsfield units and theirÂ  true values for various types of tissues and correction algorithms, investigation of the effectiveness of iMAR algorithms on CT images of patients with metal constructions in the area of the head and spine, estimation of potential dosimetric errors for a target and organs at risk in the presence of artifacts and after their correction. The results showed that iMAR reconstruction algorithms showed significant recovery of images distorted by metal artifacts and can be used in the radiation therapy treatment planning system.