National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 7 of 7 Research Studies DisplayedChang X, Mazur T, Li HH, Yang D. X, Mazur T, Li HH
A method to recognize anatomical site and image acquisition view in x-ray images.
A method was developed to recognize anatomical site and image acquisition view automatically in 2D X-ray images that are used in image-guided radiation therapy. The purpose was to enable site and view dependent automation and optimization in the image processing tasks including 2D-2D image registration, 2D image contrast enhancement, and independent treatment site confirmation.
AHRQ-funded; HS022888.
Citation: Chang X, Mazur T, Li HH, Yang D. X, Mazur T, Li HH .
A method to recognize anatomical site and image acquisition view in x-ray images.
J Digit Imaging 2017 Dec;30(6):751-60. doi: 10.1007/s10278-017-9981-6..
Keywords: Diagnostic Safety and Quality, Imaging, Patient Safety
Cai B, Li H, Yang D
Performance of a multi leaf collimator system for MR-guided radiation therapy.
The purpose of this study was to investigate and characterize the performance of a Multi Leaf Collimator (MLC) designed for Cobalt-60 based MR-guided radiation therapy system in a 0.35 T magnetic field. The authors concluded that the MRIdian MLC has a good RF noise shielding design, low radiation leakage, good positioning accuracy, comparable TG effect, and can be modeled by an independent Monte Carlo calculation platform.
AHRQ-funded; HS022888.
Citation: Cai B, Li H, Yang D .
Performance of a multi leaf collimator system for MR-guided radiation therapy.
Med Phys 2017 Dec;44(12):6504-14. doi: 10.1002/mp.12571..
Keywords: Imaging, Patient Safety, Treatments
Yang D, Zhang M, Chang X
A method to detect landmark pairs accurately between intra-patient volumetric medical images.
An image processing procedure was developed in this study to detect large quantity of landmark pairs accurately in pairs of volumetric medical images. The procedure allows a semi-automatic way to generate the ground truth landmark datasets that allow quantitatively evaluation of deformable image registration algorithms for radiation therapy applications.
AHRQ-funded; HS022888.
Citation: Yang D, Zhang M, Chang X .
A method to detect landmark pairs accurately between intra-patient volumetric medical images.
Med Phys 2017 Nov;44(11):5859-72. doi: 10.1002/mp.12526..
Keywords: Imaging, Patient Safety, Diagnostic Safety and Quality
Qiu J, Harold Li H, Zhang T
Automatic x-ray image contrast enhancement based on parameter auto-optimization.
Insufficient image contrast associated with radiation therapy daily setup x-ray images could negatively affect accurate patient treatment setup. The study authors developed a method to perform automatic and user-independent contrast enhancement on 2D kilo voltage (kV) and megavoltage (MV) x-ray images. The study concluded that the proposed method is able to outperform the standard image contrast adjustment procedures that are currently used in the commercial clinical systems.
AHRQ-funded; HS022888.
Citation: Qiu J, Harold Li H, Zhang T .
Automatic x-ray image contrast enhancement based on parameter auto-optimization.
J Appl Clin Med Phys 2017 Nov;18(6):218-23. doi: 10.1002/acm2.12172..
Keywords: Diagnostic Safety and Quality, Quality of Care, Imaging, Patient Safety
Guo JW, Bennett H, Crouch BI
Reference website use patterns of poison control center specialists.
The purpose of this pilot study was to describe web reference use patterns of poison control center specialists using time tracking software. Investigators analyzed two weeks of web site use data from Utah poison control center (PCC) computers to describe patterns of reference web site use. The study demonstrated the utility of time tracking software for better understanding reference utilization in the PCC setting.
AHRQ-funded; HS021472.
Citation: Guo JW, Bennett H, Crouch BI .
Reference website use patterns of poison control center specialists.
2017 IEEE International Conference on Healthcare Informatics (ICHI) 2017 Aug:453. doi: 10.1109/ICHI.2017.40..
Keywords: Patient Safety, Imaging, Quality of Care
Maitree R, Perez-Carrillo GJG, Shimony JS
Adaptive anatomical preservation optimal denoising for radiation therapy daily MRI.
An innovative method, adaptive anatomical preservation optimal denoising (AAPOD), was developed for optimal image denoising, i.e., to maximally reduce noise while preserving the tissue boundaries. The experimental results demonstrated that AAPOD was capable of reducing noise adaptively and optimally while avoiding tissue boundary losses.
AHRQ-funded; HS022888.
Citation: Maitree R, Perez-Carrillo GJG, Shimony JS .
Adaptive anatomical preservation optimal denoising for radiation therapy daily MRI.
J Med Imaging 2017 Jul;4(3):034004. doi: 10.1117/1.jmi.4.3.034004.
.
.
Keywords: Imaging, Treatments, Cancer, Patient Safety
Liu S, Mazur TR, Li H
A method to reconstruct and apply 3D primary fluence for treatment delivery verification.
In this study, a method is reported to perform IMRT and VMAT treatment delivery verification using 3D volumetric primary beam fluences reconstructed directly from planned beam parameters and treatment delivery records. The goals of this paper are to demonstrate that 1) 3D beam fluences can be reconstructed efficiently, and 2) quality assurance (QA) based on the reconstructed 3D fluences is capable of detecting additional treatment delivery errors, particularly for VMAT plans.
AHRQ-funded; HS022888.
Citation: Liu S, Mazur TR, Li H .
A method to reconstruct and apply 3D primary fluence for treatment delivery verification.
J Appl Clin Med Phys 2017 Jan;18(1):128-38. doi: 10.1002/acm2.12017.
.
.
Keywords: Patient Safety, Imaging, Cancer: Lung Cancer, Treatments, Quality of Care