Complementation‐reinforced network for integrated reconstruction and segmentation of pulmonary gas MRI with high acceleration

Background Hyperpolarized (HP) gas MRI enables the clear visualization of lung structure and function. Clinically relevant biomarkers, such as ventilated defect percentage (VDP) derived from this modality can quantify lung ventilation function. However, long imaging time leads to image quality degra...

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Vydané v:	Medical physics (Lancaster) Ročník 51; číslo 1; s. 378 - 393
Hlavní autori:	Li, Zimeng, Xiao, Sa, Wang, Cheng, Li, Haidong, Zhao, Xiuchao, Zhou, Qian, Rao, Qiuchen, Fang, Yuan, Xie, Junshuai, Shi, Lei, Ye, Chaohui, Zhou, Xin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.01.2024
Predmet:	Humans hyperpolarized gas MRI Image Processing, Computer-Assisted - methods image reconstruction Lung - diagnostic imaging lung segmentation Magnetic Resonance Imaging - methods multi‐task learning Respiration Signal-To-Noise Ratio ventilation defects multi-task learning lung segmentation image reconstruction ventilation defects hyperpolarized gas MRI
ISSN:	0094-2405, 2473-4209, 2473-4209
On-line prístup:	Získať plný text
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