Search Submissions 🔎

Results for "global noise": 14 found

A Comparative Evaluation of CT Global Noise Calculation Methods for Upcoming CMS Image Quality Measure

Authors: Gary Y. Ge, Charles Mike Weaver, Jie Zhang

Affiliation: University of Kentucky

Abstract Preview: Purpose: The recently introduced CMS regulation on CT dose and image quality mandates the use of global noise as the metric for image quality assessment. The regulation cites two methods for calculati...

AI-Driven Early Detection of Digital Radiography Performance Degradation: A Predictive Quality Control Approach

Authors: Giovanni Iacca, Gloria Miori, Laura Orsingher, Daniele Ravanelli, Annalisa Trianni

Affiliation: Department of Information Engineering and Computer Science, University of Trento, Medical Physics Department, S.Chiara Hospital, APSS

Abstract Preview: Purpose: This study aims to leverage artificial intelligence (AI) to predict and identify performance degradation in Digital Radiography (DR) systems, enabling proactive maintenance and minimizing cli...

Analysis of Inter-Organ Noise Variability for Clinical CT Images across 3133 Image Series

Authors: Lavsen Dahal, Francesco Ria, Ehsan Samei, Justin B. Solomon, Liesbeth Vancoillie, Yakun Zhang

Affiliation: Duke University, Carilion Clinic, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System

Abstract Preview: Purpose: Clinical diagnostic task-based optimization of CT procedures require precise and organ-specific assessments. This study investigates inter-organ noise variability to highlight the limitations...

Contrastive Learning and Hybrid CNN-Transformer Model for Unpaired MR Image Synthesis in Acute Cerebral Infarction

Authors: Kota Hirose, Daisuke Kawahara, Jokichi Kawazoe, Yuji Murakami

Affiliation: Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima University

Abstract Preview: Purpose: Synthesizing medical images can address the lack of or unscanned medical images, reducing scanner time and costs. However, paired image scarcity remains a challenge for image synthesis. We pr...

Deep Learning-Based Metric Vs Global Noise for CT Image Quality Assessment

Authors: Gary Y. Ge, Abdullah-Al-Zubaer Imran, Kazi Ramisa Rifa, Charles Mike Weaver, Jie Zhang

Affiliation: University of Kentucky

Abstract Preview: Purpose: With renewed attention on CT radiation dose management following CMS approval of new dose measures, establishing image quality–based target doses for every protocol has become essential. Whil...

Does the Method Matter? How in Hominum, In Vivo, in silico, and in Phantasma Measures Compare and Contrast Is Assessing the Utility of Photon Counting CT?

Authors: Ehsan Abadi, Njood Alsaihati, Steven T. Bache, Mridul Bhattarai, Cindy Marie McCabe, Francesco Ria, Ehsan Samei

Affiliation: Duke University, Center for Virtual Imaging Trials, Duke University, Duke University Health System, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System

Abstract Preview: Purpose: To compare and contrast alternative methods including reader (in hominum), phantom (in phantasma), in vivo, and in silico methods deployed to assess the performance of photon counting (PCCT) ...

Enhancing Synthetic Pelvic CT Images from CBCT Using Vision Transformer with Adaptive Fourier Neural Operators

Authors: Rashmi Bhaskara, Oluwaseyi Oderinde

Affiliation: Purdue University

Abstract Preview: Purpose: This study proposes a novel approach to overcoming CBCT image quality limitations by developing an improved synthetic CT (sCT) generation method based on a CycleGAN architecture using Vision ...

Generating 3D Brain in Volume (BRAVO) Images Using Attention-Gated Conditional Gan (AGC-GAN)

Authors: Nan Li, Shouping Xu, Gaolong Zhang, Xuerong Zhang

Affiliation: Department of Radiation Oncology, HeBei YiZhou proton center, School of Physics, Beihang University, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract Preview: Purpose:
The 3D BRAVO sequence is an advanced magnetic resonance (MR) technique that allows for image reconstruction at any angle. It offers 1 mm gapless scanning and has a high signal-to-noise rat...

Impact of Computed Tomography Noise Reference Levels in a Pediatric Hospital

Authors: Samuel L. Brady, Joseph G. Meier

Affiliation: Cincinnati Childrens Hospital Med Ctr

Abstract Preview: Purpose:
To establish noise reference levels for our pediatric hospital.
Methods:
Water equivalent diameter (Dw) and image noise was automatically measured by using a global noise algorithm i...

Inconsistencies in Methods for CMS Size-Adjusted Dose Measure

Authors: Alexander Alsalihi, Gary Y. Ge, Charles Mike Weaver, Jie Zhang

Affiliation: University of Kentucky

Abstract Preview: Purpose: The upcoming CMS regulation, titled “Excessive Radiation Dose or Inadequate Image Quality for Diagnostic Computed Tomography (CT) in Adults”, employs two measures, size-adjusted DLP (SAD) and...

Routine Quality Monitoring in Abdominal CT Using Global Noise Reference Levels in a 4-Parameter Protocol Summary Plot

Authors: Joke Binst, Hilde TC Bosmans, Niki Fitousi, Bram Miseur, Dimitar Petrov, Kwinten Torfs, Janne Vignero

Affiliation: Qaelum NV, Department of radiology, UZLeuven, Department of imaging and pathology, KULeuven

Abstract Preview: Purpose: Routine quality monitoring in CT abdomen is crucial for ensuring optimal image quality and patient safety, but the simultaneous evaluation of all aspects of importance is challenging. The pur...

Signal-to-Noise Ratio Estimation from Polynomial Fitting of Acr MRI Phantom Images

Authors: Alex Lindgren-Ruby, Jeffrey M. Moirano, Joseph Everett Wishart

Affiliation: University of Washington

Abstract Preview: Purpose:
To evaluate polynomial fitting of signal intensity for signal-to-noise ratio (SNR) estimation from weekly QC ACR MRI phantom images and compare against other SNR estimation methods as well...

Structure-Based Diffusion Model for CT Synthesis from MR Images for Radiotherapy Treatment Planning

Authors: Samuel Kadoury, Redha Touati

Affiliation: Polytechnique Montréal

Abstract Preview: Purpose:
Generating synthetic CT images from MR acquisitions for radiotherapy planning allows to integrate soft tissue contrast alongside density information stemming from CT, thus improving tumor ...

Ukan Architecture for Voxel-Level Dose Prediction in Radiotherapy

Authors: Lu Jiang, Ke Sheng

Affiliation: Department of Radiation Oncology, University of California at San Francisco, Department of Radiation Oncology, University of California, San Francisco

Abstract Preview: Purpose:
Conventional radiotherapy treatment planning is guided by a set of generic objectives that are unspecific to patient anatomy. Treatment planning thus heavily relies on the planner’s experi...