Deep learning-based fine-grained assessment of aneurysm wall characteristics using 4D-CT angiography

Deep learning-based fine-grained assessment of aneurysm wall characteristics using 4D-CT angiography

Purpose This study proposes a novel deep learning-based approach for aneurysm wall characteristics, including thin-walled (TW) and hyperplastic-remodeling (HR) regions. Materials and Methods We analyzed fifty-two unruptured cerebral aneurysms employing 4D-computed tomography angiography (4D-CTA) and...

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Bibliographic Details
Main Authors: Teerawat Kumrai, Takuya Maekawa, Yixuan Chen, Yoshie Sugiyama, Masatoshi Takagaki, Shigeo Yamashiro, Katsumi Takizawa, Tsutomu Ichinose, Fujimaro Ishida, Haruhiko Kishima
Format: Article
Language:English
Published: PeerJ Inc. 2025-05-01
Series:PeerJ
Subjects:
Aneurysm wall characteristics assessment
4D-CT angiography
CNN-LSTM-based regression model
Online Access:https://peerj.com/articles/19393.pdf
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https://peerj.com/articles/19393.pdf

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