Skip to main content

Guoqiang Cui

Assistant Professor of Radiation Oncology
Radiation Oncology
3404 Wake Forest Road, Lower Level, Mob 7, Rm 0116, Raleigh, NC 27609
Duke Cancer Center Raleigh, Radiation Oncology, Lower Leve, Raleigh, NC 27609

Scholarly Works - Conferences


Evaluation of Two Automated Treatment Planning Techniques for Multiple Brain Metastases Using A Single Isocenter

Conference INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS · November 1, 2020 Link to item Cite

TU‐E‐108‐03: Optimization of the Beam‐On Latency of An Elekta Linac in the Delivery of Gated VMAT

Conference Medical Physics · January 1, 2013 Purpose: To optimize the beam‐on latency of an Elekta linac in delivering gated VMAT. Methods: Step‐wise optimization was performed using a pre‐clinical gating interface developed by Elekta. Phantom studies were performed where surface motion was simulated ... Full text Cite

SU‐E‐T‐343: Respiratory‐Gated Volumetric Modulated Arc Therapy for Lung SBRT with an Elekta Digital Accelerator: A Pre‐Clinical Evaluation

Conference Medical Physics · January 1, 2012 Purpose: To evaluate the machine‐delivery capabilities and dosimetric accuracy of respiratory‐gated VMAT delivered with an Elekta digital accelerator. Method and Materials: Three lung patients previously treated with SBRT using un‐gated 6 MV VMAT were used ... Full text Cite

TU‐E‐BRC‐09: An Automated Scoring Method for Motion Artifacts in Cine Four‐Dimensional Computed Tomography Images

Conference Medical Physics · January 1, 2011 Purpose: The aim of this work is to develop an automated method to objectively score the severity of image artifacts in four‐dimensional (4D) computed tomography (CT). Methods: We developed a metric based on the difference of the two‐dimensional normalized ... Full text Cite

SU‐GG‐I‐122: An Automated Scoring Method to Quantitatively Evaluate Imaging Artifacts in 4D‐CT Images

Conference Medical Physics · January 1, 2010 Purpose: To develop an automated scoring method based on normalized cross correlation to evaluate imaging artifacts due to respiratory motion in four‐dimensional‐computed tomography (4D‐CT) images. Method and Materials: Imaging artifacts in 4D CT have been ... Full text Cite