Creating nasal cycle simulations by processing MRI and CT scan data with image morphing algorithms

The nasal cycle, characterized by alternating congestion and decongestion of the nasal passages, plays a vital role in nasal function. Predicting the nasal cycle using data from medical imaging modalities, such as magnetic resonance imaging (MRI) and computed tomography (CT), can help elucidate its...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 34026 - 16
Hauptverfasser:	Vithanage, Isira A. W., Ginat, Daniel Thomas, Dixon, Angela R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 30.09.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	631/114/1564 631/114/2397 639/766/930/12 Accuracy Adult Algorithms Bone Computed tomography Female Geometry Humanities and Social Sciences Humans Image morphing Image processing Image processing algorithms Image Processing, Computer-Assisted - methods Information processing Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Morphology multidisciplinary Nasal airway morphology Nasal Cavity - diagnostic imaging Nasal Cavity - physiology Nasal cycle Nose Path planning Patients Predictions Respiratory tract Review boards Science Science (multidisciplinary) Temporal variations Tomography, X-Ray Computed - methods Turbinates - diagnostic imaging Nasal cycle Nasal airway morphology Path planning Image morphing Image processing algorithms
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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