All conference submissions

Catheter displacement in multi-fraction HDR-brachytherapy is a recognized yet poorly quantified concern. This study evaluates the magnitude of these deviations and their impact on biologically-equivalent-dose (EQD2) metrics.

The Stop-Scan-Adapt (SSA) feature introduced with the MRIdian A3i upgrade enables intra-fractional adaptation during online MR-guided adaptive radiotherapy (ART) through re-optimization without patient repositioning. While SSA ef...

Current LDR brachytherapy seeds contain internal radiopaque markers to enable visibility with radio-graphic imaging. However, this high-Z material introduces artifacts on CT that degrade image quality and may affect seed localiza...

Neck CT protocols often present challenges for objective lesion detectability tasks. We systematically assessed lesion detectability in clinical scans to identify quality gaps and dose utilization inefficiencies.

Radiofrequency (RF) power deposition during MRI can cause patient warming, leading to discomfort and potential motion artifacts. Convective heat removal within the magnet bore is provided by the built-in ventilation fan; however,...

Restriction Spectrum Imaging (RSI) is a multi-compartment diffusion MRI model developed to enhance sensitivity to restricted diffusion associated with tumoral tissue, addressing known limitations of the apparent diffusion coeffic...

Accurate assessment of locally advanced rectal cancer (LARC) following neoadjuvant chemoradiotherapy (nCRT) is critical for treatment stratification. However, manual Tumor Regression Grade (TRG) suffers from inter-observer variab...

Cardiac radioablation is one of the most demanding applications in radiation oncology, requiring high-dose conformity and steep dose gradients. Conventional C-arm systems, such as Varian TrueBeam (Varian – a Siemens Healthineers...

To evaluate a novel dual-mode handheld gamma camera (RAVIN, M3D Inc.) utilizing coded aperture and Compton imaging for clinical radiopharmaceutical applications.

To evaluate signal-to-noise ratio (SNR) estimates from polynomial fitting of the ACR MRI phantom signal intensity using accelerated imaging techniques and AI-assisted reconstruction and compare against accepted SNR measurement me...

To evaluate a commercial deep learning denoising algorithm (ClariCT.AI) through quantitative phantom measurements and clinical image assessment.

To evaluate the performance of a commercial deep-learning denoising algorithm (ClariCT.AI) for noise reduction and contrast-to-noise ratio (CNR) improvement in abdominal CT images with small hepatic cysts and lesions.

This study is to quantify geometric distortion magnitude and evaluate vendor-provided distortion correction performance across four Siemens and GE MRI scanners operating at 1.5T, 3T, and 7T.

Quantitative 99mTc-sestamibi SPECT/CT is routinely used to distinguish benign kidney tumors from renal cell carcinoma. Standard clinical acquisitions typically use 360° orbits. However, a 180° posterior orbit can reduce scan time...

To characterize the dependence of relative electron density (RED) to Hounsfield unit (HU) calibration accuracy on acquisition and reconstruction settings on the Varian Ethos HyperSight CBCT to assess implications for adaptive rad...

Vertical patient off-centering is a common positioning error known to alter automatic exposure control (AEC) behavior and increase variability in both radiation output and image quality. The purpose of this study is to systematic...

In radiation oncology, advanced imaging tools such as dual-energy computed tomography (DECT) offer the potential for improved tumor delineation and reduced proton range uncertainty. Such technologies are often introduced into cli...

This work seeks to extend the quantitative methods developed for glucose-d2 to HDO production from glucose-d7 as a potential avenue for improving of metabolic monitoring using deuterium MR.

Dose summation for re-irradiation requires a transformation of the dose from the previous plan on CT data set CT1 onto a new plan on CT data set CT2. The dose transformation corresponds to the CT1-CT2 image transformation. Theref...

To develop and validate a deep learning framework for high-accuracy pseudo-CT synthesis from rapid, multi-parametric Magnetic Resonance Fingerprinting (MRF) for liver radiotherapy. This work addresses the technical challenge of t...

To evaluate the relationship between quantitative MRI relaxation parameters (T1, T2, T*2, and T'2) at 3T and hypoxia level in three-dimensional (3D) cancer cell spheroids under controlled in-vitro conditions, using western blot m...

In mobile C-arm guided interventions, reducing the radiation dose to the operator’s hands and patient’s Organ-at-Risk (OAR) is critical. Conventional collimators provide total occlusion, often sacrificing peripheral anatomical co...

Root Cause Analysis (RCA) is resource-intensive and prone to subjective bias. While Radiation Oncology Incident Learning System (RO-ILS) collects vast data, extracting insights from unstructured narratives remains a bottleneck. L...

Real-time, high-precision monitoring of tumor anatomy and microenvironment remains a critical unmet need in radiotherapy. Recent experimental studies have demonstrated that 511 keV photon pairs produced during positron annihilati...