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Voxel-wise uncertainty in CT substitute derived from MRI

Johansson, Adam (author)
Umeå universitet,Radiofysik
Karlsson, Mikael (author)
Umeå universitet,Radiofysik
Yu, Jun, 1962- (author)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skogsekonomi,Department of Forest Economics,SLU, Centre of Biostochastics
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Asklund, Thomas (author)
Umeå universitet,Onkologi
Nyholm, Tufve (author)
Umeå universitet,Radiofysik
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 (creator_code:org_t)
 
2012-05-22
2012
English.
In: Medical physics (Lancaster). - : American Association of Physicists in Medicine. - 0094-2405. ; 39:6, s. 3283-3290
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Purpose: In an earlier work, we demonstrated that substitutes for CT images can be derived from MR images using ultrashort echo time (UTE) sequences, conventional T2 weighted sequences, and Gaussian mixture regression (GMR). In this study, we extend this work by analyzing the uncertainties associated with the GMR model and the information contributions from the individual imaging sequences.Methods: An analytical expression for the voxel-wise conditional expected absolute deviation (EAD) in substitute CT (s-CT) images was derived. The expression depends only on MR images and can thus be calculated along with each s-CT image. The uncertainty measure was evaluated by comparing the EAD to the true mean absolute prediction deviation (MAPD) between the s-CT and CT images for 14 patients. Further, the influence of the different MR images included in the GMR model on the generated s-CTs was investigated by removing one or more images and evaluating the MAPD for a spectrum of predicted radiological densities.Results: The largest EAD was predicted at air-soft tissue and bone-soft tissue interfaces. The EAD agreed with the MAPD in both these regions and in regions with lower EADs, such as the brain. Two of the MR images included in the GMR model were found to be mutually redundant for the purpose of s-CT generation.Conclusions: The presented uncertainty estimation method accurately predicts the voxel-wise MAPD in s-CT images. Also, the non-UTE sequence previously used in the model was found to be redundant.

Subject headings

NATURVETENSKAP  -- Fysik (hsv//swe)
NATURAL SCIENCES  -- Physical Sciences (hsv//eng)
NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Image Processing (hsv//eng)

Keyword

magnetic resonance imaging
computed tomography substitute
ultrashort echo time
quality assurance
Gaussian mixture
dose calculation
attenuation correction

Publication and Content Type

ref (subject category)
art (subject category)

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