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Errors in Quantitative Image Analysis due to Platform-dependent Image Scaling

Institution:
1Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
2Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
3Oregon Health & Science University, Portland, OR, USA.
4Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.
5Stanford University, Stanford, CA, USA.
6University of Washington, Seattle, WA, USA.
7University of Pittsburgh, Pittsburgh, PA, USA.
8Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.
9Massachusetts General Hospital, Boston, MA, USA.
Publication Date:
Feb-2014
Journal:
Transl Oncol.
Volume Number:
7
Issue Number:
1
Pages:
65-71
Citation:
Transl Oncol. 2014 Feb; 7(1): 65-71.
PubMed ID:
24772209
PMCID:
PMC3998685
Appears in Collections:
Prostate Group, NA-MIC, NAC, SLICER, SPL
Sponsors:
R01 CA136892/CA/NCI NIH HHS/United States
U01 CA140204/CA/NCI NIH HHS/United States
U01 CA140230/CA/NCI NIH HHS/United States
U01 CA142555/CA/NCI NIH HHS/United States
U01 CA142565/CA/NCI NIH HHS/United States
U01 CA148131/CA/NCI NIH HHS/United States
U01 CA151235/CA/NCI NIH HHS/United States
U01 CA154601/CA/NCI NIH HHS/United States
U01 CA154602/CA/NCI NIH HHS/United States
U01 CA166104/CA/NCI NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
U01 CA151261/CA/NCI NIH HHS/United States
P01 CA085878/CA/NCI NIH HHS/United States
U01 CA172320/CA/NCI NIH HHS/United States
P41 EB015902/EB/NIBIB NIH HHS/United States
S10 OD012240/OD/NIH HHS/United States
Generated Citation:
Chenevert T.L., Malyarenko D.I., Newitt D., Li X., Jayatilake M., Tudorica A., Fedorov A., Kikinis R., Liu T.T., Muzi M., Oborski M.J., Laymon C.M., Li X., Thomas Y., Kalpathy-Cramer J., Mountz J.M., Kinahan P.E., Rubin D.L., Fennessy F.M., Huang W., Hylton N., Ross B.D. Errors in Quantitative Image Analysis due to Platform-dependent Image Scaling. Transl Oncol. 2014 Feb; 7(1): 65-71. PMID: 24772209. PMCID: PMC3998685.
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PURPOSE: To evaluate the ability of various software (SW) tools used for quantitative image analysis to properly account for source-specific image scaling employed by magnetic resonance imaging manufacturers. METHODS: A series of gadoteridol-doped distilled water solutions (0%, 0.5%, 1%, and 2% volume concentrations) was prepared for manual substitution into one (of three) phantom compartments to create “variable signal,” whereas the other two compartments (containing mineral oil and 0.25% gadoteriol) were held unchanged. Pseudodynamic images were acquired over multiple series using four scanners such that the histogram of pixel intensities varied enough to provoke variable image scaling from series to series. Additional diffusion-weighted images were acquired of an ice-water phantom to generate scanner-specific apparent diffusion coefficient (ADC) maps. The resulting pseudodynamic images and ADC maps were analyzed by eight centers of the Quantitative Imaging Network using 16 different SW tools to measure compartment-specific region-of-interest intensity. RESULTS: Images generated by one of the scanners appeared to have additional intensity scaling that was not accounted for by the majority of tested quantitative image analysis SW tools. Incorrect image scaling leads to intensity measurement bias near 100%, compared to nonscaled images. CONCLUSION: Corrective actions for image scaling are suggested for manufacturers and quantitative imaging community.