CT dose optimization for the detection of pulmonary arteriovenous malformation (PAVM): A phantom study

Autor: Salim Si-Mohamed, Joël Greffier, Philippe Douek, Loic Boussel, A. Vlassenbroek, A. Vuillod, S. Dupuis-Girod, Sara Boccalini, Jean Paul Beregi
Přispěvatelé: Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Hospices Civils de Lyon (HCL), Hôpital Femme Mère Enfant [CHU - HCL] (HFME), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), CCSD, Accord Elsevier, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2019
Předmět:
MESH: Radiation Dosage
Multidetector computed tomography (CT)
Image quality
Pulmonary arteriovenous malformation (PAVM)
[INFO.INFO-IM] Computer Science [cs]/Medical Imaging
Ultra-low dose (ULD) protocol
Hybrid iterative reconstruction
MESH: Algorithms
Iterative reconstruction
Radiation Dosage
[SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract
Imaging phantom
030218 nuclear medicine & medical imaging
Arteriovenous Malformations
03 medical and health sciences
0302 clinical medicine
MESH: Radiographic Image Interpretation
Computer-Assisted
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Medicine
MESH: Arteriovenous Malformations
Humans
Radiology
Nuclear Medicine and imaging
Pulmonary arteriovenous malformation
Protocol (science)
MESH: Humans
Radiological and Ultrasound Technology
business.industry
Phantoms
Imaging
Hereditary hemorrhagic
General Medicine
MESH: Phantoms
Imaging
Telangiectasia
030220 oncology & carcinogenesis
Image enhancement
[SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract
Radiographic Image Interpretation
Computer-Assisted
Anthropomorphic phantom
Nuclear medicine
business
MESH: Tomography
X-Ray Computed
Tomography
X-Ray Computed
Smoothing
Algorithms
Zdroj: Diagnostic and Interventional Imaging
Diagnostic and Interventional Imaging, Elsevier, 2020, 101 (5), pp.289-297. ⟨10.1016/j.diii.2019.12.009⟩
Diagnostic and Interventional Imaging, 2020, 101 (5), pp.289-297. ⟨10.1016/j.diii.2019.12.009⟩
ISSN: 2211-5684
DOI: 10.1016/j.diii.2019.12.009⟩
Popis: Purpose To determine the lowest suitable dose level for the detection of pulmonary arteriovenous malformation (PAVM) using a task-based image quality assessment. Material and methods A phantom was scanned using the standard chest protocol (STD) and 4 other ultra-low dose protocols (ULD) using various kVp. Raw data were reconstructed using level 5 of the hybrid iterative reconstruction algorithm (iDose4) for the STD protocol, and level 6 of iDose4 and levels 1 to 3 of model-based iterative reconstruction (IMR) for the ULD protocols. Both quantitative criteria and qualitative analysis were used to compare protocols. Noise-power-spectrum and Task-based transfer function were computed using imQuest software. The detectability-index (d’) was computed for the detection of PAVM. A subjective analysis was performed by 2 chest radiologists to validate the image-quality obtained on the anthropomorphic phantom for all protocols. Results Similar d’ values were found for ULD-140 using iDose4 6 compared to STD protocol. Greater d’ values were found for all ULD protocols using IMR compared to STD. Subjective image quality was rated as acceptable to excellent for ULD-140 and ULD-120 for all reconstruction types, for ULD-100 and ULD-80 using IMR2, and for ULD-100 using IMR1. Image smoothing was poor for IMR3 for ULD-100 and ULD-80. Finally, the ULD-80 protocol reconstructed with IMR2 was chosen for the detection of PAVM. With this protocol, the dose (CTDIvol of 0.3 mGy) was reduced by 91% compared with the STD protocol. Conclusion A dose level as low as 0.3 mGy reconstructed with IMR2 provides an image quality suitable for the detection of PAVM.
Databáze: OpenAIRE
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