Three-dimensional registration and analysis for brain SPECT images

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Tc-99m HMPAO is a typical tracer used in the analysis of cerebral blood flow. Single photon emission computed tomography (SPECT) brain imaging utilizing Tc-99m HMPAO is thus a popular method to assess brain function. An image analysis system for SPECT images that performs a series of image processing procedures including three-dimensional (3-D) image registration, brain extraction, and intensity normalization, is presented here to map all the 3-D brain data to the same space. Afterward, the aligned images undertake a standard statistical analysis, the paired t test, to detect the areas that have significant deviations between the two sets of images. The statistical t map is then represented with a color plot for each brain slice to indicate the activation foci. The registration results are evaluated on the designed phantom images, the acquired clinical images, and by visual inspection. The experimental studies reveal that the subvoxel accuracy is achieved and the consistency is also maintained. Besides, the resulting statistic maps are found very helpful to doctors for lesion evaluation and localization in the clinical diagnosis of schizophrenic patients.

Original languageEnglish
Pages (from-to)2715-2719
Number of pages5
JournalIEEE Nuclear Science Symposium Conference Record
Volume5
Publication statusPublished - 2004 Dec 1
Event2004 Nuclear Science Symposium, Medical Imaging Conference, Symposium on Nuclear Power Systems and the 14th International Workshop on Room Temperature Semiconductor X- and Gamma- Ray Detectors - Rome, Italy
Duration: 2004 Oct 162004 Oct 22

Fingerprint

Single-Photon Emission-Computed Tomography
brain
tomography
Technetium Tc 99m Exametazime
Brain
photons
Cerebrovascular Circulation
Three-Dimensional Imaging
Neuroimaging
Color
blood flow
image analysis
statistical analysis
lesions
tracers
image processing
inspection
plots
statistics
activation

All Science Journal Classification (ASJC) codes

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

Cite this

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title = "Three-dimensional registration and analysis for brain SPECT images",
abstract = "Tc-99m HMPAO is a typical tracer used in the analysis of cerebral blood flow. Single photon emission computed tomography (SPECT) brain imaging utilizing Tc-99m HMPAO is thus a popular method to assess brain function. An image analysis system for SPECT images that performs a series of image processing procedures including three-dimensional (3-D) image registration, brain extraction, and intensity normalization, is presented here to map all the 3-D brain data to the same space. Afterward, the aligned images undertake a standard statistical analysis, the paired t test, to detect the areas that have significant deviations between the two sets of images. The statistical t map is then represented with a color plot for each brain slice to indicate the activation foci. The registration results are evaluated on the designed phantom images, the acquired clinical images, and by visual inspection. The experimental studies reveal that the subvoxel accuracy is achieved and the consistency is also maintained. Besides, the resulting statistic maps are found very helpful to doctors for lesion evaluation and localization in the clinical diagnosis of schizophrenic patients.",
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Three-dimensional registration and analysis for brain SPECT images. / Liao, Yuan Lin; Sun, Yung-Nien; Chiu, Nan-Tsing.

In: IEEE Nuclear Science Symposium Conference Record, Vol. 5, 01.12.2004, p. 2715-2719.

Research output: Contribution to journalConference article

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AU - Liao, Yuan Lin

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AU - Chiu, Nan-Tsing

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AB - Tc-99m HMPAO is a typical tracer used in the analysis of cerebral blood flow. Single photon emission computed tomography (SPECT) brain imaging utilizing Tc-99m HMPAO is thus a popular method to assess brain function. An image analysis system for SPECT images that performs a series of image processing procedures including three-dimensional (3-D) image registration, brain extraction, and intensity normalization, is presented here to map all the 3-D brain data to the same space. Afterward, the aligned images undertake a standard statistical analysis, the paired t test, to detect the areas that have significant deviations between the two sets of images. The statistical t map is then represented with a color plot for each brain slice to indicate the activation foci. The registration results are evaluated on the designed phantom images, the acquired clinical images, and by visual inspection. The experimental studies reveal that the subvoxel accuracy is achieved and the consistency is also maintained. Besides, the resulting statistic maps are found very helpful to doctors for lesion evaluation and localization in the clinical diagnosis of schizophrenic patients.

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