A comparative study of attenuation correction algorithms in single photon emission computed tomography (SPECT)

Murase, Kenya; Itoh, Hisao; Mogami, H; Ishine, Masahiro; Kawamura, Masashi; A, Iio; Hamamoto, Ken

doi:10.1007/bf00256016

Cited by 26 publications

(10 citation statements)

References 4 publications

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“…Furthermore, the images of the rods filled with water containing iodine contrast medium tended to become negative (Fig. 2d), because the reconstructed values in regions with an attenuation coefficient greater than that used for correction become smaller than the actual radioactivity levels when using the conventional methods of attenuation correction (Murase et al 1987). In the present study, if the reconstructed value was negative, it was set at zero.…”

Section: Resultsmentioning

confidence: 92%

“…In fact, a simple correction technique which uses effective bone and tissue attenuation coefficients has already been developed (Kemp et al 1990), but it requires an estimate of the patient's skull thickness. On the other hand, the need for an accurate description of the body contours has been recognized as a severe problem with any of the attenuation correction methods (Murase et al 1987). This is most readily apparent in studies of the head, where the contours may vary significantly between slices.…”

Section: Discussionmentioning

confidence: 98%

“…The major factors which degrade the quality and accuracy of SPET images are photon attenuation, geometric detector response and scatter radiation, and much effort has been spent in an attempt to solve these problems (Jaszczak et al, 1984;Murase et al 1987). …”

Section: Introductionmentioning

confidence: 99%

“…However, these methods have proved to be totally inadequate for most clinical situations, because of the non-uniform distribution of attenuation coefficients in the human body and its complicated contours (Murase et al 1987).…”

Section: Introductionmentioning

confidence: 99%

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Improvement of brain single photon emission tomography (SPET) using transmission data acquisition in a four-head SPET scanner

et al. 1993

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Attenuation coefficient maps (mu-maps) are a useful way to compensate for non-uniform attenuation when performing single photon emission tomography (SPET). A new method was developed to record single photon transmission data and a mu-map for the brain was produced using a four-head SPET scanner. Transmission data were acquired by a gamma camera opposite to a flood radioactive source attached to one of four gamma cameras in the four-head SPET scanner. Attenuation correction was performed using the iterative expectation maximization algorithm and the mu-map. Phantom studies demonstrated that this method could reconstruct the distribution of radioactivity more accurately than conventional methods, even for a severely non-uniform mu-map, and could improve the quality of SPET images. Clinical application to technetium-99m hexamethyl-propylene amine oxime (HMPAO) brain SPET also demonstrated the usefulness of this method. Thus, this method appears to be promising for improvement in the image quality and quantitative accuracy of brain SPET.

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Section: Resultsmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improvement of brain single photon emission tomography (SPET) using transmission data acquisition in a four-head SPET scanner

et al. 1993

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“…Scatter correction was performed using the TEW method (12) (subwindow; Butterworth cutoff frequency, 0.07 cycles/cm). For cases using FBP reconstruction, attenuation correction (13,14) was performed using the iterative Chang method with a linear attenuation coefficient of 0.15 cm 21 . In the OSEM method, we performed embedded processing of an attenuation map (m-map) within the detection probability.…”

Section: Performance Index Criteriamentioning

confidence: 99%

A 3-Dimensional Mathematic Cylinder Phantom for the Evaluation of the Fundamental Performance of SPECT

Onishi

Motomura²,

Takahashi³

et al. 2010

Journal of Nuclear Medicine Technology

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Degradation of SPECT images results from various physical factors. The primary aim of this study was the development of a digital phantom for use in the characterization of factors that contribute to image degradation in clinical SPECT studies. Methods: A 3-dimensional mathematic cylinder (3D-MAC) phantom was devised and developed. The phantom (200 mm in diameter and 200 mm long) comprised 3 imbedded stacks of five 30-mm-long cylinders (diameters, 4, 10, 20, 40, and 60 mm). In simulations, the 3 stacks and the background were assigned radioisotope concentrations and attenuation coefficients. SPECT projection datasets that included Compton scattering effects, photoelectric effects, and g-camera models were generated using the electron g-shower Monte Carlo simulation program. Collimator parameters, detector resolution, total photons acquired, number of projections acquired, and radius of rotation were varied in simulations. The projection data were formatted in Digital Imaging and Communications in Medicine (DICOM) and imported to and reconstructed using commercial reconstruction software on clinical SPECT workstations. Results: Using the 3D-MAC phantom, we validated that contrast depended on size of region of interest (ROI) and was overestimated when the ROI was small. The low-energy general-purpose collimator caused a greater partial-volume effect than did the low-energy high-resolution collimator, and contrast in the cold region was higher using the filtered backprojection algorithm than using the ordered-subset expectation maximization algorithm in the SPECT images. We used imported DICOM projection data and reconstructed these data using vendor software; in addition, we validated reconstructed images. Conclusion: The devised and developed 3D-MAC SPECT phantom is useful for the characterization of various physical factors, contrasts, partialvolume effects, reconstruction algorithms, and such, that contribute to image degradation in clinical SPECT studies.

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A fully automated contour detection algorithm the preliminary step for scatter and attenuation compensation in SPECT

Younes¹,

Mas²,

Bidet³

1988

Eur J Nucl Med

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Contour detection is an important step in information extraction from nuclear medicine images. In order to perform accurate quantitative studies in single photon emission computed tomography (SPECT) a new procedure is described which can rapidly derive the best fit contour of an attenuated medium. Some authors evaluate the influence of the detected contour on the reconstructed images with various attenuation correction techniques. Most of the methods are strongly affected by inaccurately detected contours. This approach uses the Compton window to redetermine the convex contour: it seems to be simpler and more practical in clinical SPECT studies. The main advantages of this procedure are the high speed of computation, the accuracy of the contour found and the programme's automation. Results obtained using computer simulated and real phantoms or clinical studies demonstrate the reliability of the present algorithm.

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A comparative study of attenuation correction algorithms in single photon emission computed tomography (SPECT)

Cited by 26 publications

References 4 publications

Improvement of brain single photon emission tomography (SPET) using transmission data acquisition in a four-head SPET scanner

Improvement of brain single photon emission tomography (SPET) using transmission data acquisition in a four-head SPET scanner

A 3-Dimensional Mathematic Cylinder Phantom for the Evaluation of the Fundamental Performance of SPECT

A fully automated contour detection algorithm the preliminary step for scatter and attenuation compensation in SPECT

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