Abdominal synthetic CT generation for MR-only radiotherapy using structure-conserving loss and transformer-based cycle-GAN
PurposeRecent deep-learning based synthetic computed tomography (sCT) generation using magnetic resonance (MR) images have shown promising results. However, generating sCT for the abdominal region poses challenges due to the patient motion, including respiration and peristalsis. To address these cha...
Saved in:
| Main Authors: | Chanwoong Lee, Young Hun Yoon, Jiwon Sung, Jun Won Kim, Yeona Cho, Jihun Kim, Jaehee Chun, Jin Sung Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
|
| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1478148/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of in-house software to process real-time cine magnetic resonance images acquired during 1.5 T MR-guided radiation therapy
by: Jiwon Sung, et al.
Published: (2025-08-01) -
Preliminary experience using MR-guided adaptive radiotherapy in head and neck cancer
by: Caiden Atienza, et al.
Published: (2024-11-01) -
Treatment of Non-Hodgkin Lymphoma Involving Head and Neck Sites with a 1.5 T MR-Linac: Preliminary Results from a Prospective Observational Study
by: Andrea Emanuele Guerini, et al.
Published: (2025-03-01) -
Geometric and dosimetric evaluation of CTV contour adaptations by radiation therapists for adaptive prostate radiotherapy on a 0.35 T MR-Linac
by: Boaz Kalkhoven, et al.
Published: (2025-03-01) -
Steps towards overcoming challenges in clinical practice at 1.5T MR-Linac for lung cancer adaptive radiotherapy
by: Min Liu, et al.
Published: (2025-07-01)