Results 161 to 170 of about 931,369 (334)

Semi‐automated hippocampal avoidance whole‐brain radiotherapy planning

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Hippocampal avoidance whole‐brain radiotherapy (HA‐WBRT) is designed to spare cognitive function by reducing radiation dose to the hippocampus during the treatment of brain metastases. Current manual planning methods can be time‐consuming and may vary in quality, necessitating the development of automated approaches to streamline ...
Dong Joo Rhee, Subha Perni, Kelly J. Perrin, Kevin E. Casey, Alexandra O. Leone, Callistus M. Nguyen, Laurence E. Court, He Wang, Xin Wang, Eun Young Han   +9 more
wiley   +1 more source

Dynamically evolving segment anything model with continuous learning for medical image segmentation [PDF]

arXiv
Medical image segmentation is essential for clinical diagnosis, surgical planning, and treatment monitoring. Traditional approaches typically strive to tackle all medical image segmentation scenarios via one-time learning. However, in practical applications, the diversity of scenarios and tasks in medical image segmentation continues to expand ...
arxiv  

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

Temporal prediction of video sequences using an image warping technique based on color segmentation [PDF]

, 1997
N. Herodotou, A.N. Venetsanopoulos
openalex   +1 more source

Fast, automated optimization of virtual monoenergetic images with the dual‐energy image synthesizer for cone‐beam CT

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Dual‐energy cone‐beam CT (DE‐CBCT) has become subject of recent interest due to the ability to produce virtual monoenergetic images (VMIs) with improved soft‐tissue contrast and reduced nonuniformity artifacts. However, efficient production and optimization of VMIs remains an under‐explored part of DE‐CBCT's application.
Andrew Keeler, Jason Luce, Mathias Lehmann, John C. Roeske, Hyejoo Kang   +4 more
wiley   +1 more source

Volumetric Segmentation of Range Images of 3D Objects Using Superquadric Models

, 1993
Alok Gupta, R. Bajcsy
openalex   +1 more source

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

Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Methods have been developed that apply image processing to 4DCTs to generate 4DCT‐ventilation/perfusion lung imaging. Traditional methods for 4DCT‐ventilation rely on Hounsfield‐Unit (HU) density‐change methods and suffer from poor numerical robustness while not providing 4DCT‐perfusion data.
Ehsan Golkar, Taindra Neupane, Lydia Wilson, Jennifer Kwak, Richard Castillo, Edward Castillo, Yevgeniy Vinogradskiy   +6 more
wiley   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

Fuzzy clustering based transition region extraction for image segmentation

Engineering Science and Technology, an International Journal, 2018
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