Results 81 to 90 of about 485,553 (219)

Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith   +8 more
wiley   +1 more source

Improving dose delivery in non‐coplanar cranial SRS: Stereoscopic x‐ray‐guided mitigation of table walkout errors

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Purpose Linear accelerator (LINAC)‐based single‐isocenter multi‐target (SIMT) treatment has streamlined the cranial stereotactic radiosurgery (SRS) workflow. Though efficient, SIMT delivery adds additional challenges that should be considered, including increased sensitivity to rotational errors for off‐isocenter targets.
Yohan A. Walter   +4 more
wiley   +1 more source

Implementation of needle‐tracking technology for real‐time transrectal ultrasound‐guided interstitial gynecological HDR brachytherapy: A feasibility study

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To investigate the feasibility of adapting a commercial prostate biopsy system for transrectal ultrasound (TRUS)‐guided hybrid gynecological (GYN) high‐dose‐rate (HDR) brachytherapy (BT). Leveraging 3D‐TRUS and MR image fusion, the prototype system aims to improve real‐time needle placement accuracy.
Lindsey H. Bloom   +8 more
wiley   +1 more source

Accounting for TLD response to CBCT protocols in external beam radiotherapy dose monitoring

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose LiF thermoluminescent dosimeters (TLDs) are commonly used in radiation therapy to verify the delivered dose. Examples include dose verification for complicated treatment setups or cardiovascular implantable electronic devices (CIEDs). TLDs may be present for both the pre‐treatment imaging kilovoltage (kV) beam and the megavoltage (MV ...
Andrew J. White   +5 more
wiley   +1 more source

DICOM attribute manipulation tool: Easily change frame of reference, series instance, and SOP instance UID

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose In radiation oncology, the integration and registration of multiple imaging modalities is a crucial aspect of the diagnosis and treatment planning process. These images are often inherently registered, a useful feature in most cases, but possibly a hindrance when registration modifications are required.
Brian M. Anderson, Casey Bojechko
wiley   +1 more source

An investigation into the feasibility and efficacy of stereotactic radiosurgery for 1–3 cm single brain lesions on the ring‐mounted Halcyon LINAC

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose An evaluation of the accuracy, safety, and efficiency of the Halcyon ring delivery system (RDS) for stereotactic radiosurgery (SRS) treatment to relatively small (1–3 cm) brain lesions. Methods After completing the extensive in‐house quality assurance checks including Winston–Lutz test and independent dose verification via MD Anderson ...
Kate Hazelwood   +5 more
wiley   +1 more source

Robotic ultrasound and ultrasonic robot

open access: yesEndoscopic Ultrasound, 2019
Jintao Guo   +5 more
openaire   +3 more sources

Robots and gender

open access: yesGender and the Genome, 2017
This article provides an overview of the current research on gender in human-robot interaction (HRI) including a discussion of the effects of gender characteristics in robotics design (robot gender), gender differences on interaction with robots (human gender), and some interaction effects between the two.
openaire   +2 more sources

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
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

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