Diagnostic image quality and dose reduction using niobium filtration for cephalometric radiography.

Introduction: The use of computed tomography (CT) imaging as a diagnostic modality is increasing rapidly and CT is the dominant contributor to diagnostic medical radiation exposure. The aim of this project was to reduce the effective radiation dose to patients undergoing cranial CT examination, while maintaining diagnostic image quality. Methods: Data from a total of 1003, 132 and 27 patients were examined for three protocols: CT head, CT angiography (CTA), and CT perfusion (CTP), respectively. Following installation of adaptive iterative dose reduction (AIDR) 3D software, tube current was lowered in consecutive cycles, in a stepwise manner and effective radiation doses measured at each step. Results: Baseline effective radiation doses for CT head, CTA and CTP were 1.80, 3.60 and 3.96 mSv, at currents of 300, 280 and 130–150 mA, respectively. Using AIDR 3D and final reduced currents of 160, 190 and 70–100 mA for CT head, CTA and CTP gave effective doses of 1.29, 3.18 and 2.76 mSv, respectively. Conclusion: We demonstrated that satisfactory reductions in the effective radiation dose for CT head (28.3%), CTA (11.6%) and CTP (30.1%) can be achieved without sacrificing diagnostic image quality. We have also shown that iterative reconstruction techniques such as AIDR 3D can be effectively used to help reduce effective radiation dose. The dose reductions were performed within a short period and can be easily achievable, even in busy departments.

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Novel X‐ray imaging technology enables significant patient dose reduction in interventional cardiology while maintaining diagnostic image quality

Catheterization and Cardiovascular Interventions ◽

10.1002/ccd.25913 ◽

2015 ◽

Vol 86 (5) ◽

Cited By ~ 28

Author(s):

Liesbeth Eloot ◽

Hubert Thierens ◽

Yves Taeymans ◽

Benny Drieghe ◽

Jan De Pooter ◽

...

Keyword(s):

Image Quality ◽

Dose Reduction ◽

Interventional Cardiology ◽

Patient Dose ◽

Diagnostic Image Quality ◽

Diagnostic Image ◽

Imaging Technology ◽

X Ray ◽

X Ray Imaging ◽

Patient Dose Reduction

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Adaptive statistical iterative reconstruction use for radiation dose reduction in pediatric lower-extremity CT: impact on diagnostic image quality

Skeletal Radiology ◽

10.1007/s00256-017-2840-1 ◽

2017 ◽

Vol 47 (6) ◽

pp. 785-793 ◽

Cited By ~ 2

Author(s):

Amisha Shah ◽

Mitchell Rees ◽

Erica Kar ◽

Kimberly Bolton ◽

Vincent Lee ◽

...

Keyword(s):

Image Quality ◽

Radiation Dose ◽

Lower Extremity ◽

Dose Reduction ◽

Iterative Reconstruction ◽

Radiation Dose Reduction ◽

Diagnostic Image Quality ◽

Adaptive Statistical Iterative Reconstruction ◽

Diagnostic Image ◽

Statistical Iterative Reconstruction

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COMPARISON OF ADAPTIVE STATISTICAL ITERATIVE RECONSTRUCTION (ASIR™) AND MODEL-BASED ITERATIVE RECONSTRUCTION (VEO™) FOR PAEDIATRIC ABDOMINAL CT EXAMINATIONS: AN OBSERVER PERFORMANCE STUDY OF DIAGNOSTIC IMAGE QUALITY

Radiation Protection Dosimetry ◽

10.1093/rpd/ncv557 ◽

2016 ◽

Vol 169 (1-4) ◽

pp. 107-114 ◽

Cited By ~ 1

Author(s):

Maria Hultenmo ◽

Håkan Caisander ◽

Karsten Mack ◽

Anne Thilander-Klang

Keyword(s):

Image Quality ◽

Iterative Reconstruction ◽

Observer Performance ◽

Diagnostic Image Quality ◽

Performance Study ◽

Adaptive Statistical Iterative Reconstruction ◽

Abdominal Ct ◽

Diagnostic Image ◽

Model Based ◽

Statistical Iterative Reconstruction

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Enhancing Patient Experience With Internet Protocol Addressable Digital LED Lighting in Imaging Environments: A Phase I Study (Preprint)

10.2196/preprints.11839 ◽

2018 ◽

Author(s):

Melanie U Knopp ◽

Katherine Binzel ◽

Chadwick L Wright ◽

Jun Zhang ◽

Michael V Knopp

Keyword(s):

Image Quality ◽

Patient Experience ◽

Patient Comfort ◽

Patient Specific ◽

Diagnostic Image Quality ◽

Imaging Studies ◽

Diagnostic Image ◽

Clinical Imaging ◽

Ambient Lighting ◽

Led Lights

BACKGROUND Conventional approaches to improve the quality of clinical patient imaging studies focus predominantly on updating or replacing imaging equipment; however, it is often not considered that patients can also highly influence the diagnostic quality of clinical imaging studies. Patient-specific artifacts can limit the diagnostic image quality, especially when patients are uncomfortable, anxious, or agitated. Imaging facility or environmental conditions can also influence the patient’s comfort and willingness to participate in diagnostic imaging studies, especially when performed in visually unesthetic, anxiety-inducing, and technology-intensive imaging centers. When given the opportunity to change a single aspect of the environmental or imaging facility experience, patients feel much more in control of the otherwise unfamiliar and uncomfortable setting. Incorporating commercial, easily adaptable, ambient lighting products within clinical imaging environments allows patients to individually customize their environment for a more personalized and comfortable experience. OBJECTIVE The aim of this pilot study was to use a customizable colored light-emitting diode (LED) lighting system within a clinical imaging environment and demonstrate the feasibility and initial findings of enabling healthy subjects to customize the ambient lighting and color. Improving the patient experience within clinical imaging environments with patient-preferred ambient lighting and color may improve overall patient comfort, compliance, and participation in the imaging study and indirectly contribute to improving diagnostic image quality. METHODS We installed consumer-based internet protocol addressable LED lights using the ZigBee standard in different PET/CT scan rooms within a clinical imaging environment. We recruited healthy volunteers (n=35) to generate pilot data in order to develop a subsequent clinical trial. The visual perception assessment procedure utilized questionnaires with preprogrammed light/color settings and further assessed how subjects preferred ambient light and color within a clinical imaging setting. RESULTS Technical implementation using programmable LED lights was performed without any hardware or electrical modifications to the existing clinical imaging environment. Subject testing revealed substantial variabilities in color perception; however, clear trends in subject color preference were noted. In terms of the color hue of the imaging environment, 43% (15/35) found blue and 31% (11/35) found yellow to be the most relaxing. Conversely, 69% (24/35) found red, 17% (6/35) found yellow, and 11% (4/35) found green to be the least relaxing. CONCLUSIONS With the majority of subjects indicating that colored lighting within a clinical imaging environment would contribute to an improved patient experience, we predict that enabling patients to customize environmental factors like lighting and color to individual preferences will improve patient comfort and patient satisfaction. Improved patient comfort in clinical imaging environments may also help to minimize patient-specific imaging artifacts that can otherwise limit diagnostic image quality. CLINICALTRIAL ClinicalTrials.gov NCT03456895; https://clinicaltrials.gov/ct2/show/NCT03456895

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