NDLI: Dynamic iterative beam hardening correction (DIBHC) for an optimized assessment of cardiac perfusion in ECG-correlated CT

Content Provider	IEEE Xplore Digital Library
Author	Stenner, P. Schmidt, B. Raupach, R. Allmendinger, T. Flohr, T. Kachelriess, M.
Copyright Year	2009
Description	Author affiliation: Siemens AG, Healthcare Sector, Siemensstr. 1, 91031 Forchheim, Germany (Schmidt, B.; Raupach, R.; Allmendinger, T.; Flohr, T.) \|\| Institute of Medical Physics, Henkestr. 91, 91052 Erlangen, Germany (Stenner, P.; Kachelriess, M.)
Abstract	In cardiac perfusion examinations large concentrations of iodine in the ventricle cause beam hardening artifacts that lead to incorrect perfusion parameters. Beam hardening corrections are either implemented as simple precorrections which cannot account for higher order beam hardening effects, or as iterative approaches that are based on segmenting the original image into material distribution images. Conventional segmentation algorithms fail to clearly distinguish between iodine and bone. Our new algorithm, DIBHC, calculates the time- dependent iodine distribution by analyzing the voxel changes of a cardiac perfusion examination (typically N ≈ 30 ECG- correlated scans distributed over a total scan time T ≈ 20 s). These voxel dynamics are due to changes in contrast agent. This prior information allows to precisely distinguish between bone and iodine and is key to DIBHC where each iteration consists of a multi-material (soft tissue, bone, iodine) polychromatic forward projection, a rawdata comparison and a filtered backprojection. Simulations with a semi-anthropomorphic dynamic phantom and clinical scans using a dual source CT scanner (2 × 128 slices, 100 kV, 160 mAs, 0.28 s) have been carried out. The uncorrected images suffer from beam hardening artifacts that appear as dark bands connecting large concentrations of iodine in the ventricle and bony structures. The CT-values of the affected tissue are typically underestimated by up to 20 HU. One iteration of DIBHC greatly reduces these artifacts yielding CT-value deviations of only 1 HU for the simulations and improvements of up to 56 HU for the measurements. DIBHC greatly reduces the beam hardening artifacts induced by the contrast agent dynamics (and those due to bone) now allowing for an improved calculation of perfusion parameters that are essential for quantifying myocardial perfusion.
Starting Page	3523
Ending Page	3530
File Size	1070737
Page Count	8
File Format	PDF
ISBN	9781424439614
ISSN	10957863
DOI	10.1109/NSSMIC.2009.5401806
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bones Computed tomography Image segmentation Iterative algorithms Iterative methods Algorithm design and analysis Biological tissues Information filtering Information filters Imaging phantoms beam hardening cardiac CT quantitative perfusion analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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