TY - JOUR

T1 - Методы построения сечений аорты и вычисления их характеристик по снимкам компьютерной томографии

AU - Блеканов, Иван Станиславович

AU - Ларин, Евгений Сергеевич

AU - Ежов, Федор Валерьевич

AU - Коваленко, Лев Алексеевич

AU - Пугин, Кирилл Витальевич

AU - Ким, Глеб Ирламович

PY - 2025

Y1 - 2025

N2 - This work is devoted to the development of methods for processing computed tomography (CT) images of the aorta in the context of automating the process of aneurysm diagnosis and dissection. This direction is extremely relevant because it allows to significantly facilitate the work of a cardiac surgeon in the diagnosis of thoracic aortic aneurysm and abdominal aortic aneurysm and, accordingly, to reduce the time required to make the correct diagnosis. In this article, methods are proposed to obtain aortic parameters (slice area, border length, and diameters) necessary for diagnosis from the original CT images. In particular, descriptions of the developed algorithms based on classical approaches of computer graphics are given. They are designed to construct a digital 3D-model of the aorta, its pathline, slices orthogonal to the pathline and measurements of aortic parameters from the slices. An experiment was conducted to test and evaluate the quality of the proposed methods (by 12 indicators) on a data set prepared by the specialists of the Pirogov Clinic of High Medical Technologies at Saint Petersburg State University. The experiment showed that the proposed methods have a rather high accuracy: the deviation of the results of the considered method from the expected expert results of a cardiac surgeon was about 6 % in measuring the border length, about 7 % in estimating the larger diameter, about 14 % in estimating the smaller diameter, and about 16 % in estimating the area.

AB - This work is devoted to the development of methods for processing computed tomography (CT) images of the aorta in the context of automating the process of aneurysm diagnosis and dissection. This direction is extremely relevant because it allows to significantly facilitate the work of a cardiac surgeon in the diagnosis of thoracic aortic aneurysm and abdominal aortic aneurysm and, accordingly, to reduce the time required to make the correct diagnosis. In this article, methods are proposed to obtain aortic parameters (slice area, border length, and diameters) necessary for diagnosis from the original CT images. In particular, descriptions of the developed algorithms based on classical approaches of computer graphics are given. They are designed to construct a digital 3D-model of the aorta, its pathline, slices orthogonal to the pathline and measurements of aortic parameters from the slices. An experiment was conducted to test and evaluate the quality of the proposed methods (by 12 indicators) on a data set prepared by the specialists of the Pirogov Clinic of High Medical Technologies at Saint Petersburg State University. The experiment showed that the proposed methods have a rather high accuracy: the deviation of the results of the considered method from the expected expert results of a cardiac surgeon was about 6 % in measuring the border length, about 7 % in estimating the larger diameter, about 14 % in estimating the smaller diameter, and about 16 % in estimating the area.

KW - algorithms

KW - aortic cross-sections

KW - computed tomography image processing

KW - computer vision in medicine

KW - section characteristics calculation

UR - https://applmathjournal.spbu.ru/article/view/20398

UR - https://www.mendeley.com/catalogue/0212605c-3e32-34cc-bf27-3e2056f13da2/

U2 - 10.21638/spbu10.2025.207

DO - 10.21638/spbu10.2025.207

M3 - статья

VL - 21

SP - 255

EP - 276

JO - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ

JF - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ

SN - 1811-9905

IS - 2

ER -