Chih‐Wei Chang
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View article: A physics‐informed deep learning model for MRI brain motion correction
A physics‐informed deep learning model for MRI brain motion correction Open
Background Magnetic resonance imaging (MRI) is an essential brain imaging tool, but its long acquisition times make it highly susceptible to motion artifacts that can degrade diagnostic quality. Purpose This work aims to develop and evalua…
View article: Res-MoCoDiff: residual-guided diffusion models for motion artifact correction in brain MRI
Res-MoCoDiff: residual-guided diffusion models for motion artifact correction in brain MRI Open
Objective. Motion artifacts (ARTs) in brain magnetic resonance imaging (MRI), mainly from rigid head motion, degrade image quality and hinder downstream applications. Conventional methods to mitigate these ARTs, including repeated acquisit…
View article: A Preliminary Study on Deep Learning-Based Plan Quality Prediction in Gamma Knife Radiosurgery for Brain Metastases
A Preliminary Study on Deep Learning-Based Plan Quality Prediction in Gamma Knife Radiosurgery for Brain Metastases Open
Background/Objectives: GK plan quality is strongly affected by lesion size and shape, and the same evaluation metrics may not be directly comparable across patients with different anatomies. This study proposes a deep learning-based method…
View article: Res-MoCoDiff: Residual-guided diffusion models for motion artifact correction in brain MRI.
Res-MoCoDiff: Residual-guided diffusion models for motion artifact correction in brain MRI. Open
Res-MoCoDiff offers a robust and efficient solution for correcting MRI motion artifacts, preserving fine structural details while significantly reducing computational overhead. Its speed and restoration fidelity underscore its potential fo…
View article: The effect of interfractional variation on delivered dose with ultrahypofractionated pencil beam scanning proton therapy for localized prostate cancer
The effect of interfractional variation on delivered dose with ultrahypofractionated pencil beam scanning proton therapy for localized prostate cancer Open
Purpose/objectives Proton stereotactic body radiotherapy (SBRT) using the pencil beam scanning (PBS) technique is increasingly used for localized prostate cancer (PCa) due to its potential for superior normal tissue sparing. However, inter…
View article: Current progress of digital twin construction using medical imaging
Current progress of digital twin construction using medical imaging Open
Medical imaging is fundamental to digital twin technology, enabling patient‐specific virtual models of anatomy and physiology. By integrating high‐resolution modalities (Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Positron …
View article: DINOv3 with Test-Time Training for Medical Image Registration
DINOv3 with Test-Time Training for Medical Image Registration Open
Prior medical image registration approaches, particularly learning-based methods, often require large amounts of training data, which constrains clinical adoption. To overcome this limitation, we propose a training-free pipeline that relie…
View article: Large‐scale convolutional neural network for clinical target and multi‐organ segmentation in gynecologic brachytherapy via multi‐stage learning
Large‐scale convolutional neural network for clinical target and multi‐organ segmentation in gynecologic brachytherapy via multi‐stage learning Open
Background Accurate segmentation of high‐risk clinical target volume (HRCTV) and organs‐at‐risk (OARs) is crucial for optimizing gynecologic brachytherapy treatment planning. However, performing this segmentation on Computed Tomography (CT…
View article: Comparison of proton and photon therapy in stereotactic arrhythmia radioablation for ventricular tachycardia
Comparison of proton and photon therapy in stereotactic arrhythmia radioablation for ventricular tachycardia Open
Proton therapy for STAR demonstrated significant potential for OARs sparing compared to photon therapy for VT, while maintaining equivalent target coverage. These findings highlight the potential of proton therapy to improve outcomes for V…
View article: Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation
Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation Open
CLIP models pretrained on natural images with billion-scale image-text pairs have demonstrated impressive capabilities in zero-shot classification, cross-modal retrieval, and open-ended visual answering. However, transferring this success …
View article: Optimization-based image reconstruction regularized with inter-spectral structural similarity for limited-angle dual-energy cone-beam CT
Optimization-based image reconstruction regularized with inter-spectral structural similarity for limited-angle dual-energy cone-beam CT Open
Objective . Limited-angle dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achieve fast and low-dose DE imaging on current CBCT scanners without hardware modification. However, its clinical implementations are …
View article: Limited-Angle CBCT Reconstruction via Geometry-Integrated Cycle-domain Denoising Diffusion Probabilistic Models
Limited-Angle CBCT Reconstruction via Geometry-Integrated Cycle-domain Denoising Diffusion Probabilistic Models Open
Cone-beam CT (CBCT) is widely used in clinical radiotherapy for image-guided treatment, improving setup accuracy, adaptive planning, and motion management. However, slow gantry rotation limits performance by introducing motion artifacts, b…
View article: A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Open
Purpose: Accurate segmentation of clinical target volumes (CTV) and organs-at-risk is crucial for optimizing gynecologic brachytherapy (GYN-BT) treatment planning. However, anatomical variability, low soft-tissue contrast in CT imaging, an…
View article: Stereotactic Arrhythmia Radioablation for Refractory Ventricular Tachycardia: A Narrative Review and Exploratory Pooled Analysis of Clinical Outcomes and Toxicity.
Stereotactic Arrhythmia Radioablation for Refractory Ventricular Tachycardia: A Narrative Review and Exploratory Pooled Analysis of Clinical Outcomes and Toxicity. Open
STAR is a promising salvage therapy with favorable acute safety and efficacy. Outcome heterogeneity and inconsistent reporting highlight the need for standardized definitions, dosimetric protocols, and longer-term follow-up. Prospective tr…
View article: Initial Effects of Dynamic Tape on Foot Arch Height Under Cyclic Loading: A Pilot Study Among University Students
Initial Effects of Dynamic Tape on Foot Arch Height Under Cyclic Loading: A Pilot Study Among University Students Open
Background: Dynamic tape is one of the options for supporting the foot arch in the management of arch-related disorders. However, its mechanical effects on the foot arch remain unclear, particularly under cyclic loading. This study aims to…
View article: High-Resolution Mass Spectrometry for Identification, Quantification, and Risk Assessment of 40 PFAS Migrating from Microwave Popcorn Bags
High-Resolution Mass Spectrometry for Identification, Quantification, and Risk Assessment of 40 PFAS Migrating from Microwave Popcorn Bags Open
Perfluoroalkyl and polyfluoroalkyl substances (PFASs) are widely utilized in food contact materials (FCMs) due to their water- and oil-repellent properties, yet their potential migration into food raises significant health concerns. This s…
View article: Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging
Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging Open
Vision foundation models (VFMs) are pre-trained on extensive image datasets to learn general representations for diverse types of data. These models can subsequently be fine-tuned for specific downstream tasks, significantly boosting perfo…
View article: A Comparative Dosimetric Study of Proton and Photon Therapy in Stereotactic Arrhythmia Radioablation for Ventricular Tachycardia.
A Comparative Dosimetric Study of Proton and Photon Therapy in Stereotactic Arrhythmia Radioablation for Ventricular Tachycardia. Open
Proton therapy for STAR demonstrates significant dosimetric advantages in sparing the heart and other critical OARs compared to photon therapy for VT, while maintaining equivalent target coverage. These findings highlight the potential of …
View article: The Power of Negative Zero: Datatype Customization for Quantized Large Language Models
The Power of Negative Zero: Datatype Customization for Quantized Large Language Models Open
Large language models (LLMs) have demonstrated remarkable performance across various machine learning tasks, quickly becoming one of the most prevalent AI workloads. Yet the substantial memory requirement of LLMs significantly hinders thei…
View article: Exploration of an adaptive proton therapy strategy using CBCT with the concept of digital twins
Exploration of an adaptive proton therapy strategy using CBCT with the concept of digital twins Open
Objective. This study aims to develop a digital twin (DT) framework to achieve adaptive proton prostate stereotactic body radiation therapy (SBRT) with fast treatment plan selection and patient-specific clinical target volume (CTV) setup u…
View article: Unsupervised Bayesian generation of synthetic CT from CBCT using patient‐specific score‐based prior
Unsupervised Bayesian generation of synthetic CT from CBCT using patient‐specific score‐based prior Open
Background Cone‐beam computed tomography (CBCT) scans, performed fractionally (e.g., daily or weekly), are widely utilized for patient alignment in the image‐guided radiotherapy (IGRT) process, thereby making it a potential imaging modalit…
View article: Current Progress of Digital Twin Construction Using Medical Imaging
Current Progress of Digital Twin Construction Using Medical Imaging Open
Medical imaging has played a pivotal role in advancing and refining digital twin technology, allowing for the development of highly personalized virtual models that represent human anatomy and physiological functions. A key component in co…
View article: Exploring dual energy CT synthesis in CBCT-based adaptive radiotherapy and proton therapy: application of denoising diffusion probabilistic models
Exploring dual energy CT synthesis in CBCT-based adaptive radiotherapy and proton therapy: application of denoising diffusion probabilistic models Open
Background. Adaptive radiotherapy (ART) requires precise tissue characterization to optimize treatment plans and enhance the efficacy of radiation delivery while minimizing exposure to organs at risk. Traditional imaging techniques such as…
View article: Optimization-Based Image Reconstruction Regularized with Inter-Spectral Structural Similarity for Limited-Angle Dual-Energy Cone-Beam CT
Optimization-Based Image Reconstruction Regularized with Inter-Spectral Structural Similarity for Limited-Angle Dual-Energy Cone-Beam CT Open
Background: Limited-angle (LA) dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achieve fast and low-dose DE imaging on current CBCT scanners without hardware modification. However, its clinical implementations…
View article: Artificial intelligence‐based motion tracking in cancer radiotherapy: A review
Artificial intelligence‐based motion tracking in cancer radiotherapy: A review Open
Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring organs at risk (OARs). Increasingly complex treatment techniques such as volumetric modulated arc therapy (VMAT), stereotactic radiosurgery (SRS), stereo…
View article: Deep Learning-Based Fast Volumetric Image Generation for Image-Guided Proton Radiotherapy
Deep Learning-Based Fast Volumetric Image Generation for Image-Guided Proton Radiotherapy Open
Very fast imaging techniques can enhance the precision of image-guided radiation therapy, which can be useful for external beam radiation therapy. This work aims to develop a deep learning (DL)-based image-guide framework to enable fast vo…