All conference submissions

The beam output of linacs producing ultra-high dose rates for FLASH radiotherapy (FLASH linacs) can exhibit significant and sometimes unpredictable variations in response to beam parameter adjustments, differing even among identi...

To perform an integrated, translational feasibility assessment of patient-specific flexible bolus fabricated using the Formlabs 4BL stereolithography (SLA) platform with BioMed Flex 50A resin. The study aimed to interrogate geome...

Recent Phase 3 trial literature provides evidence for IMPT as the standard-of-care treatment for oropharyngeal cancer. Proton dynamic arc therapy (DynamicArc) potentially offers further refinement of IMPT. The goal of this work w...

Recent advances in cone-beam CT (CBCT) technology, such as large field of view and advanced iterative reconstruction algorithms, offer potential for using these on-board imagers for adaptive radiation therapy (ART). This study qu...

The clinical utility of low field MRI is limited by inherently low signal-to-noise ratio (SNR). Effective feature modeling plays a vital role in image denoising yet modeling long-range feature dependencies are computationally exp...

This study develops an integrated framework combining three-dimensional deformable image registration with reactive oxygen species ([ROS]rx) modeling for comprehensive dosimetry in pleural photodynamic therapy (PDT). We aim to ad...

Tumor-treating-fields (TTFields) therapy uses alternating electric fields delivered via transducer arrays placed regionally close to the tumor site to non-invasively inhibit tumor growth. Although important insights into the mech...

Accurate dose prediction with deep learning technique in proton beam therapy (PBT) remains challenging due to steep dose gradients inherent to particle beams. Conventional models with pixel-wise loss functions yield over-smoothed...

To test the feasibility of connectome-informed single-isocenter multi-target SRS planning, incorporating an individual’s functional networks and major white-matter pathways as avoidance structures while maintaining target coverag...

To evaluate consensus-based guardrails for improving the robustness of an in-house deep learning Long Short-Term Memory (LSTM) respiratory phase prediction model used for respiratory-gated radiotherapy. Consensus filter configura...

Radiotherapy dose calculation is typically based on a computed tomography (CT) scan and requires a conversion of CT numbers to the relevant physical parameter, mass density (MD) or relative electron density (RED) for photon thera...

Computed tomography ventilation imaging (CTVI) allows generating ventilation maps from CT data. CTVI provides spatially resolved information on regional lung function that can support functional avoidance and adaptive treatment s...

In the preclinical phase of radiopharmaceutical development, minipigs are frequently used to evaluate radiation-induced toxicity prior to human translation. Among normal organs, the kidney is a critical dose-limiting organ due to...

Ultra-sparse-view cone-beam CT (CBCT) acquisition reduces imaging dose in image-guided radiotherapy; however, extreme angular sparsity introduces severe streak artifacts and structural inconsistency that challenge conventional an...

The goal of this study was to investigate whether measuring arterial transit time (AT) using the last digital subtraction angiography (DSA) in patients with persistent type II endoleaks (T2E) after repair of an abdominal aortic a...

Iterative and deep learning image reconstruction (IR and DLIR) are valuable for reducing dose in modern CT but have the effect of reducing lesion edge sharpness. If sharpness loss becomes contrast dependent at some threshold, the...

Dynamic contrast enhanced CT (DCE-CT) is a functional imaging method used to measure vascular perfusion with high resolution and clinical value. DCE cone beam CT (DCE-CBCT) has been prevented by low image quality and lengthy acqu...

Portal hypertension (PH) is currently diagnosed by the hepatic venous pressure gradient (HVPG). Subharmonic imaging (SHI) is a contrast-enhanced ultrasound (CEUS) imaging technique receiving at half the transmit frequency resulti...

To determine the time enhancement characteristics of a blood-pool novel lipid nanoemulsion computed tomography (CT) contrast agent by determining the time to peak contrast enhancement of the heart, liver, lungs, and spleen.

Radiotherapy planning for liver tumours remains challenging due to low tumour conspicuity and respiratory motion. This study explores the conditions under which dynamic contrast enhanced (DCE)-CT can be used to enhance tumour del...

Magnetic resonance imaging (MRI) offers superior soft tissue contrast without ionizing radiation, but computed tomography is necessary for electron density information in radiation therapy treatment planning. This study evaluated...

To develop a convolutional neural network (CNN) to detect coronary artery calcium (CAC) on non-gated (free heartbeat and free breathing) simulation CT scans and evaluate the robustness of models trained on different datasets, inc...

Mobile CT and CBCT systems improve flexibility and reduce patient transport burden in HDR gynecologic brachytherapy. However, competition for imaging resources remains a practical limitation. This work evaluates the Varian Ethos...

Physiologically based pharmacokinetic (PBPK) models used in radiopharmaceutical therapy (RPT) and theranostic digital twins are rapidly increasing in size and mechanistic detail, often containing tens to hundreds of parameters. W...