Literature DB >> 26988356

Submillisievert CT using model-based iterative reconstruction with lung-specific setting: An initial phantom study.

Akinori Hata1, Masahiro Yanagawa2, Osamu Honda2, Tomoko Gyobu2, Ken Ueda2, Noriyuki Tomiyama2.   

Abstract

OBJECTIVE: To assess image quality of filtered back-projection (FBP) and model-based iterative reconstruction (MBIR) with a conventional setting and a new lung-specific setting on submillisievert CT.
METHODS: A lung phantom with artificial nodules was scanned with 10 mA at 120 kVp and 80 kVp (0.14 mSv and 0.05 mSv, respectively); images were reconstructed using FBP and MBIR with conventional setting (MBIRStnd) and lung-specific settings (MBIRRP20/Tx and MBIRRP20). Three observers subjectively scored overall image quality and image findings on a 5-point scale (1 = worst, 5 = best) compared with reference standard images (50 mA-FBP at 120, 100, 80 kVp). Image noise was measured objectively.
RESULTS: MBIRRP20/Tx performed significantly better than MBIRStnd for overall image quality in 80-kVp images (p < 0.01), blurring of the border between lung and chest wall in 120p-kVp images (p < 0.05) and the ventral area of 80-kVp images (p < 0.001), and clarity of small vessels in the ventral area of 80-kVp images (p = 0.037). At 120 kVp, 10 mA-MBIRRP20 and 10 mA-MBIRRP20/Tx showed similar performance to 50 mA-FBP. MBIRStnd was better for noise reduction. Except for blurring in 120 kVp-MBIRStnd, MBIRs performed better than FBP.
CONCLUSION: Although a conventional setting was advantageous in noise reduction, a lung-specific setting can provide more appropriate image quality, even on submillisievert CT. KEY POINTS: • Lung-specific submillisievert 10 mA-MBIR CT setting has similar performance to 50 mA-FBP • The new lung-specific settings improve vessel clarity and blurring of borders • The new settings may provide more appropriate images than conventional settings.

Keywords:  Image enhancement; Image processing; Lung; Multidetector computed tomography; Radiation dosage

Mesh:

Year:  2016        PMID: 26988356     DOI: 10.1007/s00330-016-4307-5

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  26 in total

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Authors:  Kimberly L Shampain; Matthew S Davenport; Richard H Cohan; Mitchell M Goodsitt; James H Ellis; Joel F Platt
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9.  Ultra-low-dose CT for left atrium and pulmonary veins imaging using new model-based iterative reconstruction algorithm.

Authors:  A D Annoni; D Andreini; G Pontone; A Formenti; M Petullà; E Consiglio; E Nobili; A Baggiano; E Conte; S Mushtaq; E Bertella; F Billi; A L Bartorelli; P Montorsi; M Pepi
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-04-24       Impact factor: 6.875

10.  Radiation dose reduction for CT lung cancer screening using ASIR and MBIR: a phantom study.

Authors:  Kelsey B Mathieu; Hua Ai; Patricia S Fox; Myrna Cobos Barco Godoy; Reginald F Munden; Patricia M de Groot; Tinsu Pan
Journal:  J Appl Clin Med Phys       Date:  2014-03-06       Impact factor: 2.102

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1.  High-pitch, 120 kVp/30 mAs, low-dose dual-source chest CT with iterative reconstruction: Prospective evaluation of radiation dose reduction and image quality compared with those of standard-pitch low-dose chest CT in healthy adult volunteers.

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Journal:  PLoS One       Date:  2019-01-24       Impact factor: 3.240

2.  Ultra-low-dose chest computed tomography for interstitial lung disease using model-based iterative reconstruction with or without the lung setting.

Authors:  Akinori Hata; Masahiro Yanagawa; Osamu Honda; Tomo Miyata; Noriyuki Tomiyama
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

3.  Image Quality and Pulmonary Nodule Detectability at Low-dose Computed Tomography (low kVp and mAs): A phantom study.

Authors:  Sepideh Iranmakani; Amir Reza Jahanshahi; Parinaz Mehnati; Tohid Mortezazadeh; Davood Khezerloo
Journal:  J Med Signals Sens       Date:  2021-12-28
  3 in total

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