Results 31 to 40 of about 457,590 (279)
Technical Innovations & Patient Support in Radiation Oncology, 2020 Objectives: The study aimed to assess the suitability of deformable image registration (DIR) software to generate synthetic CT (sCT) scans for dose verification during radiotherapy to the head and neck.
Lisa K Hay +11 more
doaj +1 more source
Synthetic CT generation from CBCT images via deep learning
Medical Physics, 2020 PurposeCone‐beam computed tomography (CBCT) scanning is used daily or weekly (i.e., on‐treatment CBCT) for accurate patient setup in image‐guided radiotherapy. However, inaccuracy of CT numbers prevents CBCT from performing advanced tasks such as dose calculation and treatment planning. Motivated by the promising performance of deep learning in medical
Liyuan, Chen +4 more
openaire +3 more sources
Patient-specific stopping power calibration for proton therapy planning based on single-detector proton radiography. [PDF]
, 2015 A simple robust optimizer has been developed that can produce patient-specific calibration curves to convert x-ray computed tomography (CT) numbers to relative stopping powers (HU-RSPs) for proton therapy treatment planning.
Bentefour, EH +5 more
core +1 more source
A fully automatic CAD-CTC system based on curvature analysis for standard and low-dose CT data [PDF]
, 2008 Computed tomography colonography (CTC) is a rapidly evolving noninvasive medical investigation that is viewed by radiologists as a potential screening technique for the detection of colorectal polyps.
Chowdhury, Tarik A. +2 more
core +1 more source
A Novel Synthetic CT Generation Method Using Multitask Maximum Entropy Clustering
IEEE Access, 2019 Due to the risk of radiation from computed tomography (CT) scanning on the human body, the number of CT scans that can be performed on an individual each year is limited. However, CT images play a very important role in medical diagnosis. Therefore, this
Yizhang Jiang +4 more
doaj +1 more source
Development of a synthetic phantom for the selection of optimal scanning parameters in CAD-CT colonography [PDF]
, 2006 The aim of this paper is to present the development of a synthetic phantom that can be used for the selection of optimal scanning parameters in computed tomography (CT) colonography. In this paper we attempt to evaluate the influence of the main scanning
Acar +64 more
core +1 more source
CT synthesis from MRI with an improved multi-scale learning network
Frontiers in Physics, 2023 Introduction: Using MRI to synthesize CT and substitute its function in radiation therapy has drawn wide research interests. Currently, deep learning models have become the first choice for MRI—CT synthesis because of their ability to study complex non ...
Yan Li, Sisi Xu, Yao Lu, Zhenyu Qi
doaj +1 more source
Advances in generating sCT images from brain MR images based on deep learning
生物医学转化Radiotherapy is a crucial modality in the treatment of malignant tumors. Precision radiotherapy planning typically requires the integration of computed tomography (CT) and magnetic resonance imaging (MRI).
Yang Zhihui, Li Hao, Li Fengsen
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Physics and Imaging in Radiation Oncology, 2023 Background and purpose: Adaptive radiotherapy (ART) decision-making benefits from dosimetric information to supplement image inspection when assessing the significance of anatomical changes.
Caitlin Allen +3 more
doaj +1 more source
Comparison of synthetic membranes in the development of an in vitro feeding system for Dermanyssus gallinae [PDF]
, 2010 Although artificial feeding models for the poultry red mite (Dermanyssus gallinae) most frequently use biological membranes consisting of day-old chick skin, there are ethical considerations associated with the use of skin.
D.W.J. Harrington +8 more
core +1 more source