Abstract Purpose This study evaluates the technical feasibility of adapting a surface monitoring system, designed for conventional four‐dimensional computed tomography (4DCT), to an intelligent, breathing‐adapted 4DCT and examines its potential expand currently limited range supported surrogate systems. Methods In experimental phantom setting, we compared breathing curve quality impact on generation between camera our clinical infrared (IR) using research‐grade IR coupled with radiation...

Magnetic Resonance Imaging (MRI)-only workflow eliminates the MRI-computed tomography (CT) registration inaccuracy, which degrades radiotherapy (RT) treatment accuracy. For an MRI-only MRI sequences need to be converted synthetic-CT (sCT). The purpose of this study was evaluate a commercially available artificial intelligence (AI)-based sCT generation for dose calculation and 2D/2D kV-image daily positioning brain RT workflow.T1-VIBE DIXON acquired at 1.5 T 26 patients in setup sCTs...

4D CT imaging is an integral part of radiotherapy workflows. However, data often contain motion artifacts that mitigate treatment planning. Recently, breathing-adapted (i4DCT) was introduced into clinical practice, promising artifact reduction in in-silico and phantom studies. Here, we present image quality comparison study, pooling patient from two centers: a new i4DCT conventional spiral cohort.

Auxiliary devices such as immobilization systems should be considered in synthetic CT (sCT)-based treatment planning (TP) for MRI-only brain radiotherapy (RT). A method auxiliary device definition the sCT is introduced, and its dosimetric impact on sCT-based TP addressed.T1-VIBE DIXON was acquired an RT setup. Ten datasets were retrospectively used generation. Silicone markers to determine devices' relative position. An structure template (AST) created system placed manually MRI. Various...

Abstract Background Failure mode and effects analysis (FMEA) is a valuable tool for radiotherapy risk assessment, yet its outputs might be unreliable due to failures not being identified or lack of accurate error rates. Purpose A novel incident reporting system (IRS) linked an FMEA database was tested evaluated. The study investigated whether the suitable validating previously performed it could provide rates support expert occurrence ratings failure modes. Methods Twenty‐three...

Four-dimensional computed tomography (4DCT) scans are standardly used for radiotherapy planning of tumors subject to respiratory motion. Based on online analysis and automatic adaption scan parameters the patient's individual breathing pattern, a new breathing-controlled 4DCT (i4DCT) algorithm attempts counteract irregular thus prevent artifacts. The aim this study was perform an initial quality assurance i4DCT.To validate i4DCT algorithm, phantom measurements were performed evaluate...

A novel, mobile 3-in-1 X-ray system featuring radiography, fluoroscopy, and cone-beam computed tomography (CBCT) has been launched for brachytherapy recently. Currently, there is no quality assurance (QA) procedure explicitly applicable to this equipped with innovative technologies such as dynamic jaws motorized lasers. We developed a dedicated QA and, based on its performance duration of 6 months, provide an assessment the device's stability over time.With procedure, we assessed system's...

Abstract 4D CT imaging is a cornerstone of radiotherapy treatment. Clinical data are, however, often affected by severe artifacts. The artifacts are mainly caused breathing irregularity and retrospective correlation phase information acquired projection data, which leads to insufficient coverage allow for proper reconstruction images. recently introduced approach i4DCT (intelligent sequence scanning) aims overcome this problem signal-driven tube control. present motion phantom study...

CBCT imaging with field of views (FOVs) exceeding the size scans acquired in conventional geometry, i.e. opposing source and detector, is high clinical importance for many medical fields. A novel approach enlarged FOV scanning one full-scan (EnFOV360) or two short-scans (EnFOV180) using an O-arm system arises from non-isocentric based on independent detector rotations.The presentation, description, experimental validation this techniques EnFOV360 EnFOV180 forms scope work.We describe...

Four-dimensional computed tomography (4DCT) has become an essential part of radiotherapy planning but is often affected by artifacts. A new breathing controlled 4DCT (i4DCT) algorithm been introduced. This study aims to present the first clinical data and evaluate achieved image quality, projection coverage beam-on time.The analysis included i4DCT for 129 scans patients with thoracic tumors. Projection time were evaluated. Additionally, quality was exemplarily discussed rated ten experts a...

Background and purpose4D Computed Tomography (4DCT) technology captures the location movement of tumors nearby organs at risk over time. In this study, a multi-institutional multi-vendor 4DCT audit was initiated to assess accuracy current imaging protocols.Materials methodsTwelve centers, including thirteen scanners performed acquisition dynamic thorax phantom using institution's own protocol with in-house breathing monitoring system. Five regular three irregular patterns were used. Image...

Background and purposeEven with most breathing-controlled four-dimensional computed tomography (4DCT) algorithms image artifacts caused by single significant longer breathing still occur, resulting in negative consequences for radiotherapy. Our study presents first phantom examinations of a new optimized raw data selection binning algorithm, aiming to improve quality geometric accuracy without additional dose exposure.Materials methodsTo validate the approach, measurements were performed...

In radiotherapy, the image quality of four-dimensional computed tomography (4DCT) is often degraded by artifacts resulting from breathing irregularities. Quality assurance mostly employ simplistic phantoms, not fully representing complexities and dynamics in patients. 3D-printing allows for design highly customized phantoms. This study aims to validate proof-of-concept a realistic dynamic thorax phantom its 4DCT application.

This study aimed to develop and validate a comprehensive, reproducible automatic 4DCT Quality Assurance (QA) workflow (QAMotion) that evaluates image accuracy across various regular irregular breathing patterns. Volume amplitude deviations, CT number accuracy, spatial integrity were used as evaluation metrics. For repeatability tests, tolerances respected with mean deviation < 10 HU, volume 2% diameter 2 mm except for curves which an up 6 was measured. QAMotion able flag artefacts our...

Abstract Purpose Respiratory‐guided computed tomography (CT) typically employs breathing motion surrogates to feed image reconstruction or visual coaching. Our study aimed assess the impact of table movements and sag on curves recorded in four‐dimensional (4D) CT deep‐inspiration breath‐hold (DIBH) CT. Methods For curve measurements, static dynamic phantom scenarios were used. Breathing using three different surrogate systems due weights up 130 kg was analyzed compared a non‐weighted...

Abstract Background Radiotherapy (RT) is an important treatment modality for patients with brain malignancies. Traditionally, computed tomography (CT) images are used RT planning whereas magnetic resonance imaging (MRI) tumor delineation. Therefore, MRI and CT need to be registered, which error prone process. The purpose of this clinical study investigate the feasibility a deep learning-based MRI-only workflow radiotherapy, that eliminates registration uncertainty through calculation...