Does Iterative Reconstruction Improve Image Quality and Reduce Dose in Computed Tomography?

Qiu, Dejian; Seeram, Euclid

doi:10.17140/roj-1-108

Cited by 15 publications

(7 citation statements)

References 51 publications

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“…The changes introduced include several reconstruction algorithms that play a part in regulating dose and image quality. In one systematic review, iterative reconstruction (IR) has been shown to surpass filtered-back projection (FBP) which was commonly used in reducing radiation dose and enhancing image quality [59]. However, it is uncertain which types of reconstruction methods institutions are using and who is using what [59].…”

Section: Discussionmentioning

confidence: 99%

A systematic review on the current status of adult diagnostic reference levels in head, chest and abdominopelvic Computed Tomography

et al. 2020

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Computed tomography (CT) is a routinely employed diagnostic tool for the detection and diagnosis of disease processes. Despite the primary focus of radiation dose reduction and improvements in CT scanners, radiation dose exposure remains an ever-increasing concern. Scanning protocol optimisation relative to body weight and scanner manufacturer still lags behind the diagnostic reference levels (DRLs) that are set on an international scale. The aim of this systematic review is to evaluate the current status of adult DRLs in head, chest and abdominopelvic CT over time on a global scale. A search was carried out in early 2019 using the Medline, PubMed, EMBASE, SCOPUS and manual databases. The reference lists of published articles were also assessed to identify further articles. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology was employed to evaluate articles for relevance. Articles were included if they assessed the DRL in head, chest and abdominopelvic scans. The search resulted in 6079 articles, of which 67 were included after a thorough screening process. The literature demonstrates a wide dose variation in reported head, chest and abdominopelvic dose length product (DLP) DRL, ranging from 700–1359, 330–707 and 550–1486 mGy·cm, respectively. Where reported, the volumed CT dose index (CTDIvol) DRL in the head, chest and abdominopelvic studies ranged from 30.4–85.5, 9–15 and 12.3–31 mGy·cm, respectively. The global means were shown to be slightly lower and significantly lower than the reported values of DLP and CTDIvol values for the American College of Radiology and European Commission, respectively. This review emphasises the need for an international standardisation for head and body DRL establishment methods, to provide a more comparable global measurement of dose variations across CT sites as well as regular monitoring of delivered radiation dose to patients.

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Section: Discussionmentioning

confidence: 99%

A systematic review on the current status of adult diagnostic reference levels in head, chest and abdominopelvic Computed Tomography

et al. 2020

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“…hal ini menunjukkan penurunan dosis yang signifikan antara penggunaan ASIR dengan FBP pada CT scan dada (Pratama Putra et al, 2020). Hal ini menunjukkan penggunaan ASIR dapat mereduksi dosis yang diterima oleh pasien sehingga meningkatkan kualitas pelayanan terhadap pasien (Qiu and Seeram, 2016). Rata-rata kualitas gambaran pada FBP lebih baik daripada penggunaan ASIR, hal ini berkaitan dengan peningkatan level ASIR yang digunakan, setiap peningkatan level ASIR akan meningkatkan nilai SNR namun menurunkan nilai CNR, ini berkaitan dengan algotima ASIR yang berfungsi menghaluskan gambaran (Lim et al, 2016).…”

Section: Hasil Dan Pembahasanunclassified

Penerapan Adaptive Statistical Itterative Reconstruction Pada Perbaikan Kualitas Citra Dan Dosis Ct Scan Chest

Bisra

Wibowo

Setiawan

2022

MRJ

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Algoritma Filtered Back Projection (FBP) telah menjadi algoritma standar untuk rekonstruksi citra dalam computed tomography (CT) selama bertahun-tahun, tetapi algoritma ini menciptakan kemungkinan artefak dan peningkatan noise gambar yang mencolok ketika dosis radiasi dikurangi secara berlebihan. Dengan kemajuan teknologi dan peningkatan kapasitas komputasi, algoritma Adaptive Statistical Iterative Reconstruction (ASIR) telah muncul kembali sebagai alternatif potensial. Tujuan dari tinjauan ini adalah untuk menetapkan apakah secara umum bahwa algoritma ASIR mengurangi dosis radiasi dan meningkatkan kualitas gambar di CT dibandingkan dengan algoritma FBP. Tinjauan sistematis literatur dari 2011 hingga 2022 dilakukan menggunakan Elsevier, Google Scholar, Pubmed, AJR, dan Science Direct, Physica Medica dan Korean Journal of Radiology. Sebanyak 11 artikel dikategorikan sebagai artikel sinopsis atau studi klinis evaluasi kinerja. Hasilnya menunjukkan bahwa penggunaan algoritma IR mengurangi noise gambar objektif, dan setidaknya mempertahankan resolusi spasial dan deteksi kontras rendah, bahkan ketika dosis dikurangi. Kesimpulannya, secara umum bahwa algoritma ASIR dapat dengan mengurangi dosis radiasi namun harus memperhatikan level ASIR dalam meningkatkan kualitas gambar di CT dibandingkan dengan algoritma FBP. Kata kunci: FBP; ASIR; gambar; dosis

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“…The acronyms, key distinctive features as well as the year of introduction of these IR algorithms have previously been described by Qiu et al . ( 2 ) and Aurumskjöld ( 3 ) . The function of IR is to improve image quality obtained primarily through reduction of noise while preserving spatial resolution and image contrast ( 4 ) .…”

Section: Introductionmentioning

confidence: 99%

“…There are two main groups of IR algorithms: the statistical/hybrid IR and model-based IR (MBIR) algorithms. The statistical/hybrid algorithms mainly reduce noise while the MBIR algorithms, in addition to their denoising properties, also correct for image degrading effects by incorporating several geometric, optic and system models ( 1 , 2 , 4 , 5 ) . The strengths and weaknesses of noise reduction strategies are discussed by Ehman et al .…”

Section: Introductionmentioning

confidence: 99%

Image Quality and Potential Dose Reduction Using Advanced Modeled Iterative Reconstruction (Admire) in Abdominal Ct - A Review

Kataria

Althén

Smedby

et al. 2021

Radiation Protection Dosimetry

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Traditional filtered back projection (FBP) reconstruction methods have served the computed tomography (CT) community well for over 40 years. With the increased use of CT during the last decades, efforts to minimise patient exposure, while maintaining sufficient or improved image quality, have led to the development of model-based iterative reconstruction (MBIR) algorithms from several vendors. The usefulness of the advanced modeled iterative reconstruction (ADMIRE) (Siemens Healthineers) MBIR in abdominal CT is reviewed and its noise suppression and/or dose reduction possibilities explored. Quantitative and qualitative methods with phantom and human subjects were used. Assessment of the quality of phantom images will not always correlate positively with those of patient images, particularly at the higher strength of the ADMIRE algorithm. With few exceptions, ADMIRE Strength 3 typically allows for substantial noise reduction compared to FBP and hence to significant (≈30%) patient dose reductions. The size of the dose reductions depends on the diagnostic task.

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Does Iterative Reconstruction Improve Image Quality and Reduce Dose in Computed Tomography?

Cited by 15 publications

References 51 publications

A systematic review on the current status of adult diagnostic reference levels in head, chest and abdominopelvic Computed Tomography

A systematic review on the current status of adult diagnostic reference levels in head, chest and abdominopelvic Computed Tomography

Penerapan Adaptive Statistical Itterative Reconstruction Pada Perbaikan Kualitas Citra Dan Dosis Ct Scan Chest

Image Quality and Potential Dose Reduction Using Advanced Modeled Iterative Reconstruction (Admire) in Abdominal Ct - A Review

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