Literature DB >> 24943136

Prospective evaluation of prior image constrained compressed sensing (PICCS) algorithm in abdominal CT: a comparison of reduced dose with standard dose imaging.

Meghan G Lubner1, Perry J Pickhardt, David H Kim, Jie Tang, Alejandro Munoz del Rio, Guang-Hong Chen.   

Abstract

PURPOSE: To prospectively study CT dose reduction using the "prior image constrained compressed sensing" (PICCS) reconstruction technique.
METHODS: Immediately following routine standard dose (SD) abdominal MDCT, 50 patients (mean age, 57.7 years; mean BMI, 28.8) underwent a second reduced dose (RD) scan (targeted dose reduction, 70%-90%). DLP, CTDIvol, and SSDE were compared. Several reconstruction algorithms (FBP, ASIR, and PICCS) were applied to the RD series. SD images with FBP served as reference standard. Two blinded readers evaluated each series for subjective image quality and focal lesion detection.
RESULTS: Mean DLP, CTDIvol, and SSDE for RD series were 140.3 mGy cm (median 79.4), 3.7 mGy (median 1.8), and 4.2 mGy (median 2.3) compared with 493.7 mGy cm (median 345.8), 12.9 mGy (median 7.9 mGy), and 14.6 mGy (median 10.1) for SD series, respectively. Mean effective patient diameter was 30.1 cm (median 30), which translates to a mean SSDE reduction of 72% (P < 0.001). RD-PICCS image quality score was 2.8 ± 0.5, improved over the RD-FBP (1.7 ± 0.7) and RD-ASIR (1.9 ± 0.8) (P < 0.001), but lower than SD (3.5 ± 0.5) (P < 0.001). Readers detected 81% (184/228) of focal lesions on RD-PICCS series, vs. 67% (153/228) and 65% (149/228) for RD-FBP and RD-ASIR, respectively. Mean image noise was significantly reduced on RD-PICCS series (13.9 HU) compared with RD-FBP (57.2) and RD-ASIR (44.1) (P < 0.001).
CONCLUSION: PICCS allows for marked dose reduction at abdominal CT with improved image quality and diagnostic performance over reduced dose FBP and ASIR. Further study is needed to determine indication-specific dose reduction levels that preserve acceptable diagnostic accuracy relative to higher dose protocols.

Entities:  

Mesh:

Year:  2015        PMID: 24943136      PMCID: PMC4272343          DOI: 10.1007/s00261-014-0178-x

Source DB:  PubMed          Journal:  Abdom Imaging        ISSN: 0942-8925


  35 in total

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  3 in total

1.  Observer performance for adaptive, image-based denoising and filtered back projection compared to scanner-based iterative reconstruction for lower dose CT enterography.

Authors:  Joel G Fletcher; Amy K Hara; Jeff L Fidler; Alvin C Silva; John M Barlow; Rickey E Carter; Adam Bartley; Maria Shiung; David R Holmes; Nicolas K Weber; David H Bruining; Lifeng Yu; Cynthia H McCollough
Journal:  Abdom Imaging       Date:  2015-06

2.  Sub-milliSievert (sub-mSv) CT colonography: a prospective comparison of image quality and polyp conspicuity at reduced-dose versus standard-dose imaging.

Authors:  Meghan G Lubner; B Dustin Pooler; Douglas R Kitchin; Jie Tang; Ke Li; David H Kim; Alejandro Munoz del Rio; Guang-Hong Chen; Perry J Pickhardt
Journal:  Eur Radiol       Date:  2015-04-23       Impact factor: 5.315

3.  Reconstruction of three-dimensional tomographic patient models for radiation dose modulation in CT from two scout views using deep learning.

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  3 in total

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