Intra-and inter-fractional variation prediction of lung tumors using fuzzy deep learning
Tumor movements should be accurately predicted to improve delivery accuracy and reduce
unnecessary radiation exposure to healthy tissue during radiotherapy. The tumor …
unnecessary radiation exposure to healthy tissue during radiotherapy. The tumor …
Geometry calibration for a dental cone-beam CT system with an offset detector
In this work, we propose a robust offline geometry calibration method for an offset-detector-
based dental cone-beam computed tomography (CBCT) system. Although a host of …
based dental cone-beam computed tomography (CBCT) system. Although a host of …
Multimodal chest surface motion data for respiratory and cardiovascular monitoring applications
Chest surface motion is of significant importance as it contains information of respiratory and
cardiac systems together with the complex coupling between these two systems. Chest …
cardiac systems together with the complex coupling between these two systems. Chest …
Fluoroscopic 3D image generation from patient-specific PCA motion models derived from 4D-CBCT patient datasets: a feasibility study
A method for generating fluoroscopic (time-varying) volumetric images using patient-specific
motion models derived from four-dimensional cone-beam CT (4D-CBCT) images was …
motion models derived from four-dimensional cone-beam CT (4D-CBCT) images was …
Projection‐based improvement of 3D reconstructions from motion‐impaired dental cone beam CT data
Purpose Computed tomography (CT) and, in particular, cone beam CT (CBCT) have been
increasingly used as a diagnostic tool in recent years. Patient motion during acquisition is …
increasingly used as a diagnostic tool in recent years. Patient motion during acquisition is …
Two methods for reducing moving metal artifacts in cone‐beam CT
A Hahn, M Knaup, M Brehm, S Sauppe… - Medical …, 2018 - Wiley Online Library
Purpose In image‐guided radiation therapy, fiducial markers or clips are often used to
determine the position of the tumor. These markers lead to streak artifacts in cone‐beam CT …
determine the position of the tumor. These markers lead to streak artifacts in cone‐beam CT …
3D fluoroscopic image estimation using patient-specific 4DCBCT-based motion models
Abstract 3D fluoroscopic images represent volumetric patient anatomy during treatment with
high spatial and temporal resolution. 3D fluoroscopic images estimated using motion …
high spatial and temporal resolution. 3D fluoroscopic images estimated using motion …
Robust breathing signal extraction from cone beam CT projections based on adaptive and global optimization techniques
We present a study of extracting respiratory signals from cone beam computed tomography
(CBCT) projections within the framework of the Amsterdam Shroud (AS) technique. Acquired …
(CBCT) projections within the framework of the Amsterdam Shroud (AS) technique. Acquired …
Planning CT‐guided robust and fast cone‐beam CT scatter correction using a local filtration technique
Abstract Purpose Cone‐beam CT (CBCT) has been widely utilized in image‐guided
radiotherapy. Planning CT (pCT)‐aided CBCT scatter correction could further enhance …
radiotherapy. Planning CT (pCT)‐aided CBCT scatter correction could further enhance …
Machine Learning-Based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction
Goal: Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-
based imaging modality that uses reconstruction algorithms to produce time-varying …
based imaging modality that uses reconstruction algorithms to produce time-varying …