
Cone beam CT imaging for bronchoscopy: a technical review
Cone beam computed tomography (CBCT) is a well-established imaging modality with numerous proven applications across multiple clinical disciplines. More recently, CBCT has emerged as …
CBCT引导下经皮肺穿刺活检术后的常见并发症及其相关危险因素
与常规CT (conventional computerd tomography, CCT)相比,C臂锥形束CT (C-arm cone-beam CT, CBCT)引导下的经皮肺穿刺活检术 (percutaneous transthoracic lung biopsies, PTLBs)增加 …
Conventional versus cone-beam computed tomography in lung …
2024年9月1日 · CT-guided percutaneous needle biopsy has become the primary method for qualitative diagnosis of pulmonary nodules. Benefiting from its three-dimensional (3D) …
Application of four-dimensional cone beam computed tomography in lung ...
2023年4月17日 · Four-dimensional cone beam computed tomography (4D CBCT) is an on-board imaging system that acquires respiratory motion data during the frame rotation, enabling the …
Ultrafast single breath-hold cone-beam CT lung cancer imaging …
2019年6月1日 · Single breath-hold cone-beam-CT (CBCT) could reduce motion artifacts and improve treatment precision. Thus, gantry speed was accelerated to 18°/s, limiting acquisition …
Percutaneous Transthoracic Lung Biopsy: Comparison Between …
2015年8月1日 · In this study, we demonstrated that CBCT guidance with real-time imaging was a highly accurate diagnostic method for biopsy of lung nodules, with reduced procedure time …
Feature-targeted deep learning framework for pulmonary …
To address this issue, we propose a novel feature-targeted deep learning framework which generates ultra-quality pulmonary imaging from CBCT of lung cancer patients via a multi-task …
CBCT-based synthetic CT image generation using a diffusion
2024年8月1日 · Purpose: While CBCT is critical to IGRT, CBCT image quality can be compromised by severe stripe and scattering artifacts. Tumor movement secondary to …
Cone-beam CT-guided radiotherapy in the management of lung …
2015年12月5日 · In this study, we evaluated intrathoracic changes detected by cone-beam CT (CBCT) in lung cancer patients during RT. Methods and materials: A total of 71 lung cancer …
A 4D-CBCT correction network based on contrastive learning for …
2024年2月9日 · 4D-CBCT and 4D computed tomography (CT) of 20 patients with locally advanced non-small cell lung cancer were used to paired train the deep-learning model. The …
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