MRI‐PET Registration with Automated Algorithm

@article{Woods1993MRIPETRW,
  title={MRI‐PET Registration with Automated Algorithm},
  author={R. Woods and J. Mazziotta and and Simon R. Cherry},
  journal={Journal of Computer Assisted Tomography},
  year={1993},
  volume={17},
  pages={536–546}
}
Objective We have previously reported an automated method for within-modality (e.g., PET-to-PET) image alignment. We now describe modifications to this method that allow for cross-modality registration of MRI and PET brain images obtained from a single subject. Methods This method does not require fiducial markers and the user is not required to identify common structures on the two image sets. To align the images, the algorithm seeks to minimize the standard deviation of the PET pixel values… Expand

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References

SHOWING 1-10 OF 13 REFERENCES
Accurate Three‐Dimensional Registration of CT, PET, and/or MR Images of the Brain
TLDR
A surface matching technique has been developed to register multiple imaging scans of the brain in three dimensions, with accuracy on the order of the image pixel sizes, which provides a novel quantitative method to address the fundamental problem of relating structure to function in the brain. Expand
Implementation and evaluation of a calculated attenuation correction for PET
  • S. Siegel, M. Dahlbom
  • Physics
  • Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference
  • 1991
A highly reliable and consistent method for automated calculated attenuation correction for PET (positron emission tomography) was developed. The method was tested in nearly 300 brain studies andExpand
The principal axes transformation--a method for image registration.
TLDR
It was found that random errors in determining the brain contour are well tolerated and registration by the principal axes transformation can be accomplished with typical errors in the range of approximately 1 mm. Expand
Multimodality imaging of brain structures for stereotactic surgery.
TLDR
An image analysis system was developed for stereotactic neurosurgery that allows the simultaneous display of brain images from different imaging devices obtained in different orientations and provides exceptional advantages over previous imaging procedures for stereOTactic surgery. Expand
A software system for interactive and quantitative visualization of multidimensional biomedical images.
  • R. Robb, D. Hanson
  • Computer Science, Medicine
  • Australasian physical & engineering sciences in medicine
  • 1991
TLDR
ANALYZE offers the potential to accurately and reproducibly examine, from images, the structure and function of any cell, tissue, limb, organ or organ system of the body, much like a surgeon or pathologist might do in real life, but entirely non-invasively, without pain or destruction of tissue. Expand
Rapid automated ai. , rithm for aligning and reslicing PET imaaes
  • J Comput Assist Tomogr
  • 1992
Rapid automated airithm hm for aligning and reslicing PET imaaes
  • J Comput Assist Tomogr
  • 1992
PET system calibration and corrections for quantitative and spatially accurate ima & es
  • IEEE Trans Nucl Sci
  • 1989
PET system calibration and corrections for quantitative and spatially accurate ima&es
  • IEEE Trans Nucl Sci
  • 1989
Numerical recipes ift C. The art of sci~ntific computiftg
  • Numerical recipes ift C. The art of sci~ntific computiftg
  • 1988
...
1
2
...