
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 an important imaging tool for bronchoscopists, primarily used during transbronchial biopsy of peripheral pulmonary lesions (PPLS).
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)增加了实时成像系统,具有扫描快、实时引导、三维重建、辐射剂量小等优点,因其高成功率、高准确率 …
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) reconstruction capability, cone-beam CT (CBCT) technology has also been widely adopted.
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 generation of four-dimensional images before, during, and after treatment [4].
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 time to 10–20 s. Image quality, dosimetry and registration …
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 compared to CCT.
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 customized feature-to-feature perceptual loss function and a feature-guided CycleGAN.
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 respiratory motion also decreases CBCT resolution. In order to improve the image quality of CBCT, we propose a Lung Diffusion Model (L-DM) framework.
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 patients treated with fractionated CBCT-guided RT were evaluated.
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 lung tumors were located in the right upper lobe, right lower lobe, left upper lobe, and left lower lobe, or in the mediastinum.
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