Results 121 to 130 of about 7,037,660 (293)

Commissioning evaluation of a deviceless 4DCT scanner

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The utilization of four‐dimensional computed tomography (4DCT) for radiation therapy has not seen major advances to the method of data binning since shortly after inception. Recently there is increased interest in the utilization of an alternative binning method rather than more established techniques.
Hunter Tillery, Cheyann Windsor, Christopher Aguilera   +2 more
wiley   +1 more source

Impact of bulk density assignment of bone on MRI‐based abdominal region radiotherapy planning for MR‐linac workflow

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The purpose of the present study was to evaluate the impact of bone relative electron density (rED) assignment on radiotherapy planning for the abdominal region. Methods Twenty patients who received abdominal radiotherapy using MR‐Linac and underwent magnetic resonance imaging (MRI) and computed tomography (CT) simulation were analyzed.
Kota Abe, Masato Tsuneda, Yukio Fujita, Yukinao Abe, Takashi Uno   +4 more
wiley   +1 more source

Characterization of a prototype rapid kilovoltage x‐ray image guidance system designed for a linear accelerator radiation therapy unit

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study evaluates a novel cone‐beam computed tomography (CBCT) imaging solution integrated onto a conventional C‐arm linear accelerator (linac) with increased gantry speed. The purpose is to assess the impact of improved imaging hardware and reconstruction algorithms on image quality.
Theodore Arsenault, Jonathan Arrue, Kenneth Gregg, Atallah Baydoun, Atefeh Rezai, Christian Langmack, Lauren Henke, Daniel E. Spratt, Rojano Kashani, Alex Price   +9 more
wiley   +1 more source

Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation [PDF]

arXiv
In response to the worldwide COVID-19 pandemic, advanced automated technologies have emerged as valuable tools to aid healthcare professionals in managing an increased workload by improving radiology report generation and prognostic analysis. This study proposes Multi-modality Regional Alignment Network (MRANet), an explainable model for radiology ...
arxiv  

Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off‐the‐shelf features: A dual‐dataset study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen, Yanyan Cheng, Lijun Chen, Banghua Yang   +3 more
wiley   +1 more source

Towards Virtual Clinical Trials of Radiology AI with Conditional Generative Modeling [PDF]

arXiv
Artificial intelligence (AI) is poised to transform healthcare by enabling personalized and efficient care through data-driven insights. Although radiology is at the forefront of AI adoption, in practice, the potential of AI models is often overshadowed by severe failures to generalize: AI models can have performance degradation of up to 20% when ...
arxiv  

Monte Carlo modeling of radiation dose from radiation therapy with superficial x‐rays

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Superficial x‐rays (50–100 kVp) are used for treating non‐melanoma skin cancer and intraoperative radiation therapy (IORT). At these energies, the photoelectric effect significantly increases absorbed dose to bone compared to soft tissue.
Reham Barghash, Tiffany W. Martin, Amber R. Prebble, Del Leary   +3 more
wiley   +1 more source

Occupational risks of radiology technicians in care for patients with multiple trauma

O Mundo da Saúde, 2016
This study aimed to identify and give visibility to the main occupational hazards of radiology technicians, associated with the care of multiple trauma patient with a hospital department of conventional radiology.
Tiago Jorge Anderson, Alessandra Mendes de Barros, Fernanda Hannah da Silva Copelli, Juliana Almeida Coelho de Melo   +3 more
doaj  

RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training [PDF]

arXiv
The integration of artificial intelligence (AI) with radiology marks a transformative era in medicine. Vision foundation models have been adopted to enhance radiologic imaging analysis. However, the distinct complexities of radiologic 2D and 3D radiologic data pose unique challenges that existing models, pre-trained on general non-medical images, fail ...
arxiv  

Effects of simultaneous multislice acceleration on the stability of radiomics features in parametric maps of IVIM and DKI in uterine cervical cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The aim of this study was to investigate the influence of the simultaneous multislice acceleration (SMS) technique as well as two‐dimensional (2D) and three‐dimensional (3D) tumor segmentations on radiomics features (RFs) within the parametric maps of cervical cancer, which were computed by intravoxel incoherent motion (IVIM) and ...
Shuangquan Ai, Wei Peng, Rong Hou, Huiting Zhang, Robert Grimm, Zilong Yuan, Yulin Liu   +6 more
wiley   +1 more source