Results 111 to 120 of about 40,437 (189)
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang+2 more
wiley +1 more source
Moment Aberration Projection for Nonregular Fractional Factorial Designs
Hongquan Xu, L. Deng
semanticscholar +1 more source
Abstract Background The aim of this study was to thoroughly analyze the reproducibility of radiomics feature extraction across three Image Biomarker Standardization Initiative (IBSI)‐compliant platforms using a digital phantom for benchmarking. It uncovers high consistency among common features while also pointing out the necessity for standardization ...
Han‐Back Shin+5 more
wiley +1 more source
Energy dependence of the GAFCHROMIC LD‐V1 in the diagnostic radiographic modalities
Abstract The GAFCHROMIC LD‐V1 radiochromic film is widely used in dosimetry because it can provide high‐resolution two‐dimensional dose distributions without processing. This study aimed to evaluate the response characteristics at different effective energies, from the low‐energy range of mammography to the high‐energy range of computed tomography. Net
Tatsuhiro Gotanda+9 more
wiley +1 more source
The burden of burnout: Understanding its prevalence and organizational drivers in medical physics
Abstract Background Burnout is a work‐related syndrome characterized by increased levels of emotional exhaustion (EE) and depersonalization (DP) along with decreased levels of personal achievement. In the healthcare setting, higher burnout levels have been associated with negative impacts on personnel, an increased risk of errors, and a decrease in the
Deborah Schofield+4 more
wiley +1 more source
Abstract Purpose The aim of this work was to report on the optimization, commissioning, and validation of a beam model using a commercial independent dose verification software RadCalc version 7.2 (Lifeline Software Inc, Tyler, TX, USA), along with 4 years of experience employing RadCalc for offline and online monitor unit (MU) verification on the ...
Urszula Jelen+3 more
wiley +1 more source
Localization accuracy of 6‐second CBCT for lung IGRT with various breathing patterns
Abstract Purpose The 6‐second cone beam computed tomography (CBCT) acquisition of the Ethos HyperSight (Varian Medical Systems, Inc. Palo Alto, CA, USA) on‐board imaging system offers benefits, but could be too fast to accurately capture an average target position in a free‐breathing lung cancer patient. This study aimed to ascertain whether a 6‐second
Jihye Koo+5 more
wiley +1 more source
Abstract Purpose Histotripsy is a focal tumor therapy that utilizes focused ultrasound (US) to mechanically destroy tissue. To overcome visualization limitations of diagnostic US‐guidance, C‐arm cone beam CT (CBCT)‐guided histotripsy is being developed, for which a mobile C‐arm could increase accessibility. CBCT‐guided histotripsy uses a phantom with a
Grace M. Minesinger+5 more
wiley +1 more source
Impact of respiratory motion on dose distribution in SIB‐SBRT for lung cancer
Abstract Purpose Respiratory motion is a major source of dose uncertainty in lung cancer radiotherapy. The dose distribution of simultaneous integrated boost‐stereotactic body radiotherapy (SIB‐SBRT) is inhomogeneous and is significantly impacted by respiratory motion for lung cancer. The effect of respiratory motion on SIB‐SBRT was investigated with a
Lingling Liu+7 more
wiley +1 more source