Results 141 to 150 of about 7,706,916 (368)

Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal, Austen Maniscalco, Justin Visak, Michael Dohopolski, Dominic Moon, Vladimir Avkshtol, Dan Nguyen, Steve Jiang, David Sher, Mu‐ Han Lin   +9 more
wiley   +1 more source

SPECTRAL SUBTRACTION METHOD OF SPEECH ENHANCEMENT USING ADAPTIVE ESTIMATION OF NOISE WITH PDE METHOD AS A PREPROCESSING TECHNIQUE [PDF]

ICTACT Journal on Communication Technology, 2010
Speech Enhancement can be used as a preprocessing technique in any of the speech communication systems. Speech communication involves a speaker, listener and communication device.
D. Deepa, A. Shanmugam
doaj  

Dose rate correction of a diode array for universal wedge field dosimetric verification

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To study the performance of MapCHECK 3 (MC3) in measuring universal wedge fields and propose a dose rate correction strategy to improve MC3 measurement accuracy. Materials and methods Universal wedge fields with different wedge angles and field sizes were measured at different depths using MC3.
Linyi Shen, Mengyang Li, Guiyuan Li, Xinyuan Chen, Shouping Xu, Jianrong Dai, Yuan Tian   +6 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

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

Development of a generic focal spot measurement method suitable for bore‐type linacs

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose In linear accelerators, deviations in the x‐ray focal spot position significantly affect the accuracy of radiation therapy. However, as the focal spot position in bore‐type linac systems such as the Radixact system, cannot be assessed using conventional methods, a new evaluation method is required.
Hidetoshi Shimizu, Kazuharu Nishitani, Tomoki Kitagawa, Koji Sasaki, Takahiro Aoyama, Takeshi Kodaira   +5 more
wiley   +1 more source

Improved Wasserstein conditional generative adversarial network speech enhancement

EURASIP Journal on Wireless Communications and Networking, 2018
The speech enhancement based on the generative adversarial network has achieved excellent results with large quantities of data, but performance in the low-data regime and tasks like unseen data learning still lag behind.
Shan Qin, Ting Jiang
doaj   +1 more source

Studies in Signal Processing Techniques for Speech Enhancement: A comparative study [PDF]

Speech enhancement is very essential to suppress the background noise and to increase speech intelligibility and reduce fatigue in hearing. There exist many simple speech enhancement algorithms like spectral subtraction to complex algorithms like ...
Narasimhan, SV, Shivamurti, M
core  

Surface dose analysis and dosimetric comparison of Halcyon versus Truebeam in breast cancer radiotherapy: An OSL dosimetry study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Breast cancer is a neoplastic disease with high prevalence among women. Radiotherapy is one of the principal treatment modalities for this disease, but it poses significant challenges. This study aimed to compare and evaluate the technical and dosimetric performance of conventional C‐arm linac systems and a new design, Halcyon, in the ...
Mustafa Çağlar, Kudret Akçay, Esra Serin, Dursun Eşitmez, Mehmet Sıddık Cebe, Navid Kheradmand, Ömer Yazıcı, Dilek Ünal, Evrim Metcalfe   +8 more
wiley   +1 more source

Speech Enhancement Based on Dictionary Learning and Low-Rank Matrix Decomposition

IEEE Access, 2019
In this paper, a new speech enhancement method is proposed based on dictionary learning and low-rank matrix decomposition with the objective to improve speech quality and intelligibility.
Yunyun Ji, Wei-Ping Zhu, Benoit Champagne   +2 more
doaj   +1 more source