Results 141 to 150 of about 488,489 (323)
Measurement of CT radiation beam width with a pencil ionization chamber and radiopaque mask
Abstract Purpose This study compares fan beam CT scanner radiation beam widths measured with a pencil ionization chamber‐radiopaque mask technique with commonly used film and computed radiography (CR) measurements. Methods For a given fan beam CT scanner x‐ray beam, the ionization chamber‐mask technique determines the radiation beam width by exposing a
Rani Al‐Senan+2 more
wiley +1 more source
Fuzzy clustering based transition region extraction for image segmentation
Transition region based approaches are recent hybrid segmentation techniques well known for its simplicity and effectiveness. Here, the segmentation effectiveness depends on the robust extraction of transition regions.
Priyadarsan Parida, Nilamani Bhoi
doaj
Abstract Purpose This study compares the dosimetric accuracy of deep‐learning‐based MR synthetic CT (sCT) in brain radiotherapy between the Analytical Anisotropic Algorithm (AAA) and AcurosXB (AXB). Additionally, it proposes a novel metric to predict the dosimetric accuracy of sCT for individual post‐surgical brain cases.
Jeffrey C. F. Lui+3 more
wiley +1 more source
Region-based representations of image and video: segmentation tools for multimedia services [PDF]
Philippe Salembier, Ferran Marqués
openalex +1 more source
Abstract Background The dose‐averaged linear energy transfer (LETD) in proton therapy (PT) has in pre‐clinical studies been linked to the relative biological effectiveness (RBE) of protons. Until recently, the most common PT delivery method in prostate cancer has been double‐scattered PT, with LETD only available through dedicated Monte Carlo (MC ...
Rasmus Klitgaard+7 more
wiley +1 more source
High-precision inhomogeneous image segmentation based on adaptive parameter level set method
In the field of image segmentation, there are still some technical problems, such as the segmentation accuracy of the image with intensity inhomogeneity is not high enough.
Haiping YU, Kun MA, Xiaoli LIN, Ping SUN
doaj +1 more source
A robust automatic clustering scheme for image segmentation using wavelets [PDF]
Robert P. Porter, Nishan Canagarajah
openalex +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
Segmentation, registration, and measurement of shape variation via image object shape [PDF]
Stephen M. Pizer+4 more
openalex +1 more source
Abstract Purpose/objectives Recent technological advancements have increased efficiency for clinical deliverability of online‐adaptive‐radiotherapy (oART). Previous cone‐beam‐computed‐tomography (CBCT) generations lacked the ability to provide reliable Hounsfield‐units (HU), thus requiring oART workflows to rely on synthetic‐CT (sCT) images derived ...
Jingwei Duan+7 more
wiley +1 more source