Fully automatic fossa ovalis segmentation from computed tomography images using deep neural network with atlas-based localization

Fully automatic fossa ovalis segmentation from computed tomography images using deep neural network with atlas-based localization

Background and objective: Information on the location of the fossa ovalis (FO) is necessary for planning interventional procedures that require an inter-atrial septal (IAS) puncture. At present, this information is obtained manually from pre-procedural medical images, which is time consuming with li...

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Bibliographic Details
Main Authors: Gakuto Aoyama, Toru Tanaka, Yukiteru Masuda, Naoki Matsuki, Ryo Ishikawa, Masahiko Asami, Kiyohide Satoh, Takuya Sakaguchi
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Fossa ovalis
Segmentation
Deep learning
Computed tomography
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914825000012
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