Background And Purpose: Magnetic resonance imaging (MRI)-Linac systems combine simultaneous MRI with radiation delivery, allowing treatments to be guided by anatomically detailed, real-time images. However, MRI can be degraded by geometric distortions that cause uncertainty between imaged and actual anatomy. In this work, we develop and integrate a real-time distortion correction method that enables accurate real-time adaptive radiotherapy.
Materials And Methods: The method was based on the pre-treatment calculation of distortion and the rapid correction of intrafraction images. A motion phantom was set up in an MRI-Linac at isocentre ( ), the edge ( ) and just outside ( ) the imaging volume. The target was irradiated and tracked during real-time adaptive radiotherapy with and without the distortion correction. The geometric tracking error and latency were derived from the measurements of the beam and target positions in the EPID images.
Results: Without distortion correction, the mean geometric tracking error was 1.3 mm at and 3.1 mm at . When distortion correction was applied, the error was reduced to 1.0 mm at and 1.1 mm at . The corrected error was similar to an error of 0.9 mm at where the target was unaffected by distortion indicating that this method has accurately accounted for distortion during tracking. The latency was 319 ± 12 ms without distortion correction and 335 ± 34 ms with distortion correction.
Conclusions: We have demonstrated a real-time distortion correction method that maintains accurate radiation delivery to the target, even at treatment locations with large distortion.
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http://dx.doi.org/10.1016/j.phro.2023.100414 | DOI Listing |
BMC Oral Health
January 2025
Department of Conservative Dentistry, College of Dentistry, Kyung Hee University, 26-6, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02453, Republic of Korea.
Background: This study aims to compare design, phase transformation behavior, and torsional resistance of the ProGlider (PG) and ProTaper ultimate slider (PUS) and to compare the performance of two files in the glide-path preparation of a double-curved artificial canal.
Methods: Scanning electron microscopy, micro-computed tomography, and differential scanning calorimetry were used to characterize the samples. A torsional resistance test was performed to obtain ultimate strength and distortion angle.
Ultrasonics
January 2025
School of Biological Science and Medical Engineering, Beihang University, Beijing, China. Electronic address:
Transcranial focused ultrasound (tFUS) has been gaining increased attention as a non-invasive modality for treating brain diseases. However, accurately focusing on brain structures remains a challenge as the ultrasound is severely distorted by the presence of the skull. In this article, we propose a promising distortion correction method based on spherical wave expansions.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Mechanical, Aerospace & Civil Engineering, University of Sheffield, Sheffield S1 3JD, UK.
Stress wave dispersion can result in the loss or distortion of critical high-frequency data during high-strain-rate material tests or blast loading experiments. The purpose of this work is to demonstrate the benefits of correcting stress wave dispersion in split-Hopkinson pressure bar experiments under various testing situations. To do this, an innovative computational algorithm, SHPB_Processing.
View Article and Find Full Text PDFNat Commun
January 2025
School of Chemistry and Molecular Engineering, Nanjing Tech University, 211816, Nanjing, China.
Microsc Res Tech
January 2025
School of Electrical & Control Engineering, Shenyang Jianzhu University, Shenyang, China.
The atomic force microscope (AFM) image will be inclined and bent due to the tilt angle between the probe and the sample surface. When the least squares fitting method is used to correct the horizontal distortion of the AFM image, the shape structure that is lower or higher than the sample base will affect the final fitting correction result. In view of the limitations of existing methods and the diversity of AFM images, an AFM image level distortion correction method based on automatic feature marking is proposed.
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