Deep learning based synthetic‐CT generation in radiotherapy and PET: a review
Abstract Recently, deep learning (DL)‐based methods for the generation of synthetic
computed tomography (sCT) have received significant research attention as an alternative to …
computed tomography (sCT) have received significant research attention as an alternative to …
A review of breast tomosynthesis. Part I. The image acquisition process
I Sechopoulos - Medical physics, 2013 - Wiley Online Library
Mammography is a very well‐established imaging modality for the early detection and
diagnosis of breast cancer. However, since the introduction of digital imaging to the realm of …
diagnosis of breast cancer. However, since the introduction of digital imaging to the realm of …
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model …
A Barragán-Montero, A Bibal… - Physics in Medicine …, 2022 - iopscience.iop.org
The interest in machine learning (ML) has grown tremendously in recent years, partly due to
the performance leap that occurred with new techniques of deep learning, convolutional …
the performance leap that occurred with new techniques of deep learning, convolutional …
A general framework and review of scatter correction methods in x‐ray cone‐beam computerized tomography. Part 1: scatter compensation approaches
EP Rührnschopf, K Klingenbeck - Medical physics, 2011 - Wiley Online Library
Since scattered radiation in cone‐beam volume CT implies severe degradation of CT
images by quantification errors, artifacts, and noise increase, scatter suppression is one of …
images by quantification errors, artifacts, and noise increase, scatter suppression is one of …
Compressed sensing based cone‐beam computed tomography reconstruction with a first‐order method a
Purpose: This article considers the problem of reconstructing cone‐beam computed
tomography (CBCT) images from a set of undersampled and potentially noisy projection …
tomography (CBCT) images from a set of undersampled and potentially noisy projection …
Iterative image‐domain decomposition for dual‐energy CT
Purpose: Dual energy CT (DECT) imaging plays an important role in advanced imaging
applications due to its capability of material decomposition. Direct decomposition via matrix …
applications due to its capability of material decomposition. Direct decomposition via matrix …
Scatter correction for cone‐beam CT in radiation therapy
Cone‐beam CT (CBCT) is being increasingly used in modern radiation therapy for patient
setup and adaptive replanning. However, due to the large volume of x‐ray illumination …
setup and adaptive replanning. However, due to the large volume of x‐ray illumination …
A practical cone-beam CT scatter correction method with optimized Monte Carlo simulations for image-guided radiation therapy
Cone-beam CT (CBCT) has become the standard image guidance tool for patient setup in
image-guided radiation therapy. However, due to its large illumination field, scattered …
image-guided radiation therapy. However, due to its large illumination field, scattered …
[HTML][HTML] Applications of linac-mounted kilovoltage Cone-beam Computed Tomography in modern radiation therapy: A review
K Srinivasan, M Mohammadi… - Polish journal of …, 2014 - ncbi.nlm.nih.gov
The use of Cone-beam Computed Tomography (CBCT) in radiotherapy is increasing due to
the widespread implementation of kilovoltage systems on the currently available linear …
the widespread implementation of kilovoltage systems on the currently available linear …
Shading correction for on‐board cone‐beam CT in radiation therapy using planning MDCT images
Purpose: Applications of cone‐beam CT (CBCT) to image‐guided radiation therapy (IGRT)
are hampered by shading artifacts in the reconstructed images. These artifacts are mainly …
are hampered by shading artifacts in the reconstructed images. These artifacts are mainly …