Quantification of Artifacts and Image Distortions in 1.5 Tesla Magnetic Resonance Images of a Commercial Multi-Channel Vaginal Cylinder Brachytherapy Applicator Set

Copyright: © Journal of Biomedical Physics and Engineering..

Background: The BEBIG Portio multi-channel applicator provides better target dose coverage and sparing organs-at-risk compared to a single-channel cylinder. However, artifacts and distortions of Portio in magnetic resonance images (MRI) have not yet been reported.

Objective: We aimed to quantify the artifacts and distortions in its 1.5-Tesla MR images before clinical use.

Material and Methods: In this experimental study, we employed a gelatin-filled phantom to conduct our measurements. T2-weighted (T2W) images were examined for artifacts and distortions. Computed tomography (CT) images were used as a reference to assess image distortions. Artifact severity was measured by recording the full-width-at-half-maximum (FWHM) image pixel values at various positions along the length of the applicator/channels. CT and MRI-based applicator reconstruction accuracy were then compared, and signal-to-noise ratio (SNR) and contrast were also determined for the applicator images.

Results: The applicator distortion level for the Portio applicator was less than the image spatial resolution (0.5±0.5 pixels). The average FWHM for the tandem applicator images was 5.23±0.39 mm, while it was 3.21±0.37 mm for all channels (compared to their actual diameters of 5.0 mm and 3.0 mm, respectively). The average applicator reconstruction difference between CT and MR images was 0.75±0.30 mm overall source dwell positions. The image SNR and contrast were both acceptable.

Conclusion: These findings indicate that the Portio applicator has a satisfactory low level of artifacts and image distortions in 1.5-Tesla, T2W images. It may, therefore, be a promising option for MRI-guided multi-channel vaginal brachytherapy.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:13

Enthalten in:

Journal of biomedical physics & engineering - 13(2023), 6 vom: 22. Dez., Seite 523-534

Sprache:

Englisch

Beteiligte Personen:

Kanani, Abolfazl [VerfasserIn]
Fatemi-Ardakani, Ali [VerfasserIn]
Owrangi, Amir M [VerfasserIn]
Yazdi, Mehran [VerfasserIn]
Baghbani, Hadi [VerfasserIn]
Mosleh-Shirazi, Mohammad Amin [VerfasserIn]

Links:

Volltext

Themen:

Brachytherapy
Endometrial Cancer
Gynecolgical
Image Processing
Journal Article
Magnetic Resonance Imaging
Portio Applicator
Radiotherapy

Anmerkungen:

Date Revised 28.12.2023

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.31661/jbpe.v0i0.2309-1665

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM366396161