Assessment of Filtered Back Projection, Adaptive Statistical, and Model-Based Iterative Reconstruction for Reduced Dose Abdominal Computed Tomography

Journal of Computer Assisted Tomography
Atul PadoleMannudeep K Kalra

Abstract

To compare standard of care and reduced dose (RD) abdominal computed tomography (CT) images reconstructed with filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), model-based iterative reconstruction (MBIR) techniques. In an Institutional Review Board-approved, prospective clinical study, 28 patients (mean age 59 ± 13 years ), undergoing clinically indicated routine abdominal CT on a 64-channel multi-detector CT scanner, gave written informed consent for acquisition of an additional RD (<1 milli-Sievert) abdomen CT series. Sinogram data of RD series were reconstructed with FBP, ASIR, and MBIR and compared with FBP images of standard dose abdomen CT. Two radiologists performed randomized, independent, and blinded comparison for lesion detection, lesion margin, visibility of normal structures, and diagnostic confidence. Mean CT dose index volume was 10 ± 3.4 mGy and 1.3 ± 0.3 mGy for standard and RD CT, respectively. There were 73 "true positive" lesions detected on standard of care CT. Nine lesions (<8 mm in size) were missed on RD abdominal CT images which included liver lesions, liver cysts, kidney cysts, and paracolonic abscess. These lesions were missed regardless of patient size and types o...Continue Reading

References

Jan 9, 2004·Journal of Thoracic Imaging·Michael M MaherJoanne Shepard
Jan 24, 2004·Radiology·Mannudeep K KalraSanjay Saini
Dec 18, 2010·Radiology·Hedvig HricakLouis K Wagner
Nov 26, 2013·Radiologic Clinics of North America·Sarabjeet SinghSubba R Digumarthy

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Citations

Nov 7, 2016·Pediatric Radiology·Gabrielle C ColleranJeanne S Chow
Mar 1, 2018·Journal of Medical Imaging·Abhishek MidyaAmber L Simpson
Aug 17, 2018·Experimental and Therapeutic Medicine·Yanfeng XuYanxu Che
Mar 26, 2016·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Louis SibilleVincent Boudousq

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