ALGORITHM FOR 3D QUANTIFICATION OF ABDOMINAL AORTIC SHAGGINESS BASED ON LUMEN MORPHOLOGY ANALYSIS USING CTA IMAGES

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ALGORITHM FOR 3D QUANTIFICATION OF ABDOMINAL AORTIC SHAGGINESS BASED ON LUMEN MORPHOLOGY ANALYSIS USING CTA IMAGES. / Fedotova, Ya V.; Amelina, E. V.; Mullyadzhanov, R. I. и др.

в: Journal of Applied Mechanics and Technical Physics, Том 65, № 3, 06.2024, стр. 573-581.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

BibTeX

@article{dab93bca53594fe9988ba3ace9c6ba4d,

title = "ALGORITHM FOR 3D QUANTIFICATION OF ABDOMINAL AORTIC SHAGGINESS BASED ON LUMEN MORPHOLOGY ANALYSIS USING CTA IMAGES",

abstract = "Abstract: A method is proposed for three-dimensional quantification of the shagginess of a pathologically altered aorta with account for a three-dimensional lumen morphology. An algorithm for assessing local shagginess is developed and implemented, and an integral criterion for shagginess in the anatomical region is proposed. The algorithm is tested on data from two patients with a shaggy and a smooth lumen. The results obtained in this study are in good agreement with visual assessment performed by expert surgeons and are also confirmed by clinical outcomes during surgery.",

keywords = "CTA images, centerline, ideal surface, parallel transport algorithm, shaggy aorta, three-dimensional morphology analysis, thromboembolic complications",

author = "Fedotova, {Ya V.} and Amelina, {E. V.} and Mullyadzhanov, {R. I.} and Karpenko, {A. A.}",

note = "This work was financially supported by the Russian Science Foundation (Project Code 21-15-00091).",

year = "2024",

month = jun,

doi = "10.1134/S0021894424030192",

language = "English",

volume = "65",

pages = "573--581",

journal = "Journal of Applied Mechanics and Technical Physics",

issn = "0021-8944",

publisher = "Maik Nauka-Interperiodica Publishing",

number = "3",

}

RIS

TY - JOUR

T1 - ALGORITHM FOR 3D QUANTIFICATION OF ABDOMINAL AORTIC SHAGGINESS BASED ON LUMEN MORPHOLOGY ANALYSIS USING CTA IMAGES

AU - Fedotova, Ya V.

AU - Amelina, E. V.

AU - Mullyadzhanov, R. I.

AU - Karpenko, A. A.

N1 - This work was financially supported by the Russian Science Foundation (Project Code 21-15-00091).

PY - 2024/6

Y1 - 2024/6

N2 - Abstract: A method is proposed for three-dimensional quantification of the shagginess of a pathologically altered aorta with account for a three-dimensional lumen morphology. An algorithm for assessing local shagginess is developed and implemented, and an integral criterion for shagginess in the anatomical region is proposed. The algorithm is tested on data from two patients with a shaggy and a smooth lumen. The results obtained in this study are in good agreement with visual assessment performed by expert surgeons and are also confirmed by clinical outcomes during surgery.

AB - Abstract: A method is proposed for three-dimensional quantification of the shagginess of a pathologically altered aorta with account for a three-dimensional lumen morphology. An algorithm for assessing local shagginess is developed and implemented, and an integral criterion for shagginess in the anatomical region is proposed. The algorithm is tested on data from two patients with a shaggy and a smooth lumen. The results obtained in this study are in good agreement with visual assessment performed by expert surgeons and are also confirmed by clinical outcomes during surgery.

KW - CTA images

KW - centerline

KW - ideal surface

KW - parallel transport algorithm

KW - shaggy aorta

KW - three-dimensional morphology analysis

KW - thromboembolic complications

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85211322741&origin=inward&txGid=e24e614153efa143402fd4cbb932e474

UR - https://www.mendeley.com/catalogue/0db46374-5d61-3d52-a34d-f7159e5c0cf0/

U2 - 10.1134/S0021894424030192

DO - 10.1134/S0021894424030192

M3 - Article

VL - 65

SP - 573

EP - 581

JO - Journal of Applied Mechanics and Technical Physics

JF - Journal of Applied Mechanics and Technical Physics

SN - 0021-8944

IS - 3

ER -

ID: 61285699