Literature DB >> 8227583

Computer-assisted coregistration of multislice SPECT and MR brain images by fixed external fiducials.

R T Malison1, E G Miller, R Greene, G McCarthy, D S Charney, R B Innis.   

Abstract

We have developed and validated in a phantom a method of computer-assisted coregistration using multislice SPECT and MR images. Reusable fiducial markers were fabricated from nylon-based plastic and consist of two parts: a base that remains fixed to the skin with adhesive between scans and a removable, spherical cavity insert that can be filled with contrast agents appropriate for multiple imaging modalities. Markers external and internal to a three-dimensional brain phantom provided a means of quantifying the method's accuracy. A computer algorithm was used to derive transformation matrices for image sets by minimizing the root mean squared deviations obtained for multiple permutations (n = 10) of increasing numbers (range 3-11) of external SPECT/MRI point pairs. As defined by the average +/- SEM mean residual deviations of noncoregistered internal fiducials, the minimal accuracy was 2.4 +/- 0.3 mm (no marker > 3.6 mm) for three coregistration points and did not improve beyond seven to eight fiducials (2.2 +/- 0.1 mm; no marker > 3.2 mm). The method's true accuracy is likely to be better than estimates of minimal accuracy, however, since such measures reflect surmountable random errors in fiducial location. With use of identical MRI (or SPECT) data sets, measures of intraoperator (0.5 +/- 0.1 and 0.5 +/- 0.1 mm, respectively) and interoperator (0.5 +/- 0.3 and 0.8 +/- 0.1 mm) reliability were also obtained, establishing the method as highly reproducible and objective. Preliminary results in a human subject suggest its feasibility for clinical studies.

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Year:  1993        PMID: 8227583     DOI: 10.1097/00004728-199311000-00018

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  4 in total

1.  A hybrid strategy to integrate surface-based and mutual-information-based methods for co-registering brain SPECT and MR images.

Authors:  Yuan-Lin Liao; Yung-Nien Sun; Wan-Yuo Guo; Yuan-Hwa Chou; Jen-Chuen Hsieh; Yu-Te Wu
Journal:  Med Biol Eng Comput       Date:  2010-12-30       Impact factor: 2.602

2.  Comparison of [123I]beta-CIT and [123I]IPCIT as single-photon emission tomography radiotracers for the dopamine transporter in nonhuman primates.

Authors:  B E Scanley; M S al-Tikriti; M S Gandelman; M Laruelle; Y Zea-Ponce; R M Baldwin; S S Zoghbi; P B Hoffer; D S Charney; S Wang
Journal:  Eur J Nucl Med       Date:  1995-01

3.  Single photon emission computed tomographic imaging demonstrates loss of striatal dopamine transporters in Parkinson disease.

Authors:  R B Innis; J P Seibyl; B E Scanley; M Laruelle; A Abi-Dargham; E Wallace; R M Baldwin; Y Zea-Ponce; S Zoghbi; S Wang
Journal:  Proc Natl Acad Sci U S A       Date:  1993-12-15       Impact factor: 11.205

4.  Automatic Marker-free Longitudinal Infrared Image Registration by Shape Context Based Matching and Competitive Winner-guided Optimal Corresponding.

Authors:  Chia-Yen Lee; Hao-Jen Wang; Jhih-Hao Lai; Yeun-Chung Chang; Chiun-Sheng Huang
Journal:  Sci Rep       Date:  2017-02-01       Impact factor: 4.379

  4 in total

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