A5004905667- Advanced Radiotherapy Techniques
- Medical Image Segmentation Techniques
- Augmented Reality Applications
- Surgical Simulation and Training
- Hepatocellular Carcinoma Treatment and Prognosis
- Radiation Therapy and Dosimetry
- Pancreatic and Hepatic Oncology Research
- Traditional Chinese Medicine Studies
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging and Analysis
- Advanced X-ray and CT Imaging
- AI in cancer detection
- EEG and Brain-Computer Interfaces
Norwegian University of Science and Technology
2022-2025
Abstract Objective. Four-dimensional cone-beam computed tomography (4D CBCT) has unique advantages in moving target localization, tracking and therapeutic dose accumulation adaptive radiotherapy. However, the severe fringe artifacts noise degradation caused by 4D CBCT reconstruction restrict its clinical application. We propose a novel deep unsupervised learning model to generate high-quality from poor-quality CBCT. Approach. The proposed uses contrastive loss function preserve anatomical...
<title>Abstract</title> Couinaud's liver segment classification has served as the standard basis for surgery planning nearly seven decades. While providing a systematic framework by dividing into eight segments, its reliance on fixed planar boundaries may not always align with individual anatomical variations. In this study, we propose new method classifying functional segments. By integrating patient-specific morphology, 3D vascular system, and user-defined landmarks, our approach offers...
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Objective: This study introduces a novel method for defining virtual resections in liver cancer surgery, aimed at enhancing the adaptability of parenchyma-sparing resection (PSR) plans. By comparing these with traditional anatomical (AR) plans, we explore potential optimization surgical planning. Methods: Leveraging contours and spline surface approximations directly from liver's surface, our aligns closely actual procedures, offering more realistic representation curved paths. technique,...
<title>Abstract</title> Couinaud’s liver segment classification has been the standard for surgeryplanning nearly seven decades. However, its reliance on fixedplanar boundaries does notalways align with individual anatomical variations. This study aims to propose a new methodfor classifying functional segments that incorporates patient-specific morphology,3D vascular systems, and user-defined landmarks. Methods. We developed an adaptable clas-sification approach integrates involves:(1)...