Results 171 to 180 of about 841,129 (301)

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

AI and machine learning in paediatric spine deformity surgery. [PDF]

Bone Jt Open
Khan M, Ahuja K, Tsirikos AI.
europepmc   +1 more source

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan, Alexandra Quinn, Patrick Horsley, Joseph Chan, Maegan Stewart, Regina Bromley, Jeremy Booth   +6 more
wiley   +1 more source

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source

Deep Learning Models for Multi-Part Morphological Segmentation and Evaluation of Live Unstained Human Sperm. [PDF]

Sensors (Basel)
Lei P, Saadat M, Hassani MG, Shu C.
europepmc   +1 more source

Imagery-37: a virtual lab for computer assisted education on digital image processing

Industrial Data, 2008
Imagery is a Virtual Lab for computer-assisted traning on Digital Image Processing(DIP), currently including 37 modules. Thhis software allows the user in the effects on real images; it may be used in the classroom, in the laboratory or at home. Imagery not only operates on images included by its creator(the author of this report), but also on those ...
openaire   +1 more source

Diagnostic image‐based treatment planning for online adaptive ultra‐hypofractionated prostate cancer radiotherapy with MR‐Linac

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose A new workflow was investigated for Elekta Unity MR‐Linac by removing the computed tomography (CT)‐simulation step and using diagnostic CT (DCT) for reference plan generation. Materials and methods Ten patients with ultra‐hypofractionated prostate cancer treated with magnetic resonance imaging (MRI)‐guided adaptive radiotherapy were ...
Yuan Xu, Ningning Lu, Qiao Li, Kuo Men, Xinming Zhao, Jianrong Dai   +5 more
wiley   +1 more source

A review of novel methods to assist digital planning and execution of osteotomy for upper limb deformities. [PDF]

Biomed Eng Online
Yuichi Y, Kohyama S, Ikumi A, Yanagisawa Y, Nakatani T, Morita J, Ogawa T.   +6 more
europepmc   +1 more source

Evaluation of dosimetric and spatial accuracy of a virtual cone technique for radiosurgery using linac‐integrated CBCT‐based polymer gel dosimetry

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study evaluates the dosimetric and geometric precision of a virtual cone technique using CBCT‐based polymer gel dosimetry, enabling radiation delivery, and imaging readout within an identical spatial coordinate system. Methods We created a C# script for a virtual cone technique that generates a treatment plan with 10 gantry arcs ...
Tenzin Kunkyab, Michael Lamey, Andrew Jirasek, Michael Kudla, Nathan Becker, Benjamin Mou, Derek Hyde   +6 more
wiley   +1 more source

Computer-assisted brain tumor type discrimination using magnetic resonance imaging features

Biomedical Engineering Letters, 2017
S. Iqbal, •. M. Usman, Ghani Khan, T. Saba, A. Rehman   +4 more
semanticscholar   +1 more source