All conference submissions

Lung cancer remains one of the leading causes of cancer-related deaths worldwide and often begins with small lung nodules visible on CT scans. Early and accurate classification of these nodules is essential for timely diagnosis a...

This study aims to develop a deep learning (DL) model capable of predicting Monte Carlo (MC)-level carbon-ion dose distributions from Pencil Beam Algorithm (PBA) calculations. The objective is to achieve the high accuracy of MC s...

Metal artifacts are one of the common imaging artifacts that degrade the image quality of cone-beam CT (CBCT). Thus, several studies have investigated metal artifact reduction (MAR) techniques to restore anatomical information ar...

High-pitch helical Computed Tomography (CT) reduces radiation exposure to patients and improves robustness against motion artifacts; however, the images suffer from artifacts due to limited data sampling. Recent studies proposed...

Breast cancer is the second leading cause of cancer death among women. Fortunately, for this biologically heterogeneous disease, several molecular subtypes corresponding to distinct responses to treatments and prognoses have been...

Black-bone MRI provides improved contrast of the cortical bone than standard MRI sequences, and resembles a CT image when its contrast is inverted. Deep-learning (DL)-based synthetic-CT (sCT) techniques[1-2] often use standard se...

Conventional filtered backprojection with a fixed Ram-Lak filter in cone-beam CT (CBCT) reconstruction method often amplifies noise and streak artifacts under sparse-view acquisition, limiting image quality for image-guided radio...

Esophageal cancer is a lethal malignancy where early detection significantly improves survival. While opportunistic screening using chest CT is promising, the frequent absence of Contrast-Enhanced CT (CECT) in routine exams limit...

Glioblastoma is highly aggressive and the most prevalent brain tumor in adults. The median survival of patients is 15 months, despite the current standard of care comprising surgery, radiotherapy, and chemotherapy. Hence, new the...

The purpose of this study is to utilize clinical pathological information and preoperative ultrasound images of breast cancer to predict the risk of brain metastasis by combining radiomics and deep learning.

Modern radiation therapy increasingly requires deforming prior dose to new CT scans for re-irradiation. Current validation methods report whole-organ agreement but lack spatial specificity and corrective guidance. This study deve...

Conventional iterative closest point (ICP) algorithms capable of 3D surface registration perform best with non-deformable surfaces. Such methods are not efficient in head and neck (HN) RT, where one part of the surface is rigid (...

Head-and-neck radiotherapy inadvertently irradiates salivary glands, leading to radiation-induced xerostomia. Diffusion MRI provides sensitivity to radiation-induced microstructural tissue changes. We hypothesize that changes in...

The quantitative accuracy of MR Electrical Properties Tomography (MR-EPT) is strongly influenced by tissue heterogeneity and lesion geometry. This study systematically investigates the effects of tumor depth and tumor size on con...

Total body irradiation (TBI) is an essential component of conditioning regimens prior to hematopoietic stem cell transplantation. Recent nationwide comparisons have revealed substantial inter-institutional variability in TBI tech...

Patient-specific quality assurance (PSQA) for lateral targets on a 1.5T MR-Linac (MRL) is limited by restricted couch motion and lack of dedicated positioning aids for off-axis measurements. While lateral ArcCheck-MR configuratio...

A modernized partial‑body Total Skin Electron Therapy (TSET) frame was designed, constructed, and prepared for commissioning at UW Health Eastpark Medical Center to replace an aging wooden structure and address the absence of com...

Clinical implementation of proton arc therapy is partly hindered by the low speed of beam energy switching upstream of the nozzle. To achieve fast and multiple post-nozzle energies, we propose a novel range shifter, termed the Ch...

Image Guided Brachytherapy (IGBT) in a dedicated suite allows applicator placement, planning and treatment delivery in a single room, minimizing the patient movement during the process. The design and shielding considerations for...

Breast cancer is the second common malignancy worldwide, with small island developing states (SIDS) experiencing disproportionately higher mortality-to-incidence ratios. Breast treatment planning remains one of the most challengi...

To develop a novel composite mesh bolus (CMB) as an alternative to hand-molded bolus in chest wall radiotherapy. The CMB is a 3D-printed flexible mesh with silicone layers. Its design allows surface conformity, skin adhesion, a r...

Magnetic resonance imaging quality assurance (MRI QA) currently relies on phantoms for characterizing image quality metrics. The growing prevalence of MRI-guided radiotherapy will increase the need for efficient and robust MRI QA...

To determine the optimal thickness of an electron skin collimator that minimizes the surface dose inhomogeneity (“hot” spots), which reached up to 23% for previous prototypes, while maintaining the prior penumbral advantages.

We introduce a deterministic, analytic framework for single‑isocenter, multi‑target radiosurgery to derive the minimal geometric margin that corresponds with a user‑specified level of target coverage. The model correlates target...