The future of CT: deep learning reconstruction

CM McLeavy, MH Chunara, RJ Gravell, A Rauf… - Clinical radiology, 2021 - Elsevier
There have been substantial advances in computed tomography (CT) technology since its
introduction in the 1970s. More recently, these advances have focused on image …

Dose reduction in pediatric abdominal CT: use of iterative reconstruction techniques across different CT platforms

RDA Khawaja, S Singh, A Otrakji, A Padole, R Lim… - Pediatric …, 2015 - Springer
Dose reduction in children undergoing CT scanning is an important priority for the radiology
community and public at large. Drawbacks of radiation reduction are increased image noise …

Can deep learning improve image quality of low-dose CT: a prospective study in interstitial lung disease

R Zhao, X Sui, R Qin, H Du, L Song, D Tian, J Wang… - European …, 2022 - Springer
Objectives To investigate whether deep learning reconstruction (DLR) could keep image
quality and reduce radiation dose in interstitial lung disease (ILD) patients compared with …

Image comparative assessment using iterative reconstructions: clinical comparison of low-dose abdominal/pelvic computed tomography between adaptive statistical …

V Vardhanabhuti, RD Riordan, GR Mitchell… - Investigative …, 2014 - journals.lww.com
Objectives The objective of this study was to compare image quality (objective and
subjective parameters) and confidence in lesion detection between 3 image reconstruction …

Non-contrast CT at comparable dose to an abdominal radiograph in patients with acute renal colic; impact of iterative reconstruction on image quality and diagnostic …

PD McLaughlin, KP Murphy, SA Hayes, K Carey… - Insights into …, 2014 - Springer
Objectives The aim was to assess the performance of low-dose non-contrast CT of the
urinary tract (LD-CT) acquired at radiation exposures close to that of abdominal radiography …

Reduced radiation dose with model-based iterative reconstruction versus standard dose with adaptive statistical iterative reconstruction in abdominal CT for diagnosis …

M Fontarensky, A Alfidja, R Perignon, A Schoenig… - Radiology, 2015 - pubs.rsna.org
Purpose To evaluate the accuracy of reduced-dose abdominal computed tomographic (CT)
imaging by using a new generation model-based iterative reconstruction (MBIR) to diagnose …

Prospective trial of the detection of urolithiasis on ultralow dose (sub mSv) noncontrast computerized tomography: direct comparison against routine low dose …

BD Pooler, MG Lubner, DH Kim, EM Ryckman… - The Journal of …, 2014 - auajournals.org
Purpose: In this prospective trial we compared ultralow dose computerized tomography
reconstruction algorithms and routine low dose computerized tomography for detecting …

Use of Model-Based Iterative Reconstruction (MBIR) in reduced-dose CT for routine follow-up of patients with malignant lymphoma: dose savings, image quality and …

E Hérin, F Gardavaud, M Chiaradia, P Beaussart… - European …, 2015 - Springer
Objectives To evaluate both in vivo and in phantom studies, dose reduction, and image
quality of body CT reconstructed with model-based iterative reconstruction (MBIR) …

Usefulness of low-dose nonenhanced computed tomography with iterative reconstruction for evaluation of urolithiasis: diagnostic performance and agreement …

JK Kwon, IH Chang, YT Moon, JB Lee, HJ Park… - Urology, 2015 - Elsevier
Objective To evaluate the efficacy of low-dose nonenhanced computed tomography (LDCT)
with iterative reconstruction (IR) technique for urologists to detect urolithiasis by comparing …

Knowledge-based iterative model reconstruction (IMR) algorithm in ultralow-dose CT for evaluation of urolithiasis: evaluation of radiation dose reduction, image …

SB Park, YS Kim, JB Lee, HJ Park - Abdominal imaging, 2015 - Springer
Purpose To evaluate the efficacy of a knowledge-based iterative model reconstruction (IMR)
algorithm for reducing image noise in ultralow-dose (ULD) CT for urolithiasis. Materials and …