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T G Turkington

Publications and source records attributed to T G Turkington.

29 records · Page 2Linked to original sources

A 3D model of non-uniform attenuation and detector response for efficient iterative reconstruction in SPECT.

A 3D physical model for iterative reconstruction in SPECT has been developed and applied to experimental data. The model incorporates non-uniform attenuation using reconstructed transmission CT data and distance-dependent detector response based on response function measurements over a range of distances from the detector. The 3D model has been implemented in a computationally efficient manner with practical memory requirements. The features of the model that provide efficiency are described including a new region-dependent reconstruction (RDR) technique. With RDR, filtered backprojection is used to reconstruct areas of the image of minimal clinical importance, and the result is used to supplement the iterative reconstruction of the clinically important areas of the image. The 3D model was incorporated into the maximum likelihood-expectation maximization (ML-EM) reconstruction algorithm and tested in three phantom studies--a point source, a uniform cylinder, and an anthropomorphic thorax--and a patient 9Tc(m) sestamibi study. Reconstructed images with the 3D method exhibited excellent noise and resolution characteristics. With the sestamibi data, the RDR technique produced essentially the conventional ML-EM estimate in the cardiac region with substantial time savings.

Algorithms↗

Volume and activity quantitation with iodine-123 SPECT.

UNLABELLED: The goals of this study were to investigate the effect of septal penetration on 123I SPECT activity quantitation using low-energy, high-resolution collimators, and to evaluate a semi-automatic method for measuring volume and activity of 123I distribution with SPECT. METHODS: Data were acquired from experimental phantoms containing spheres filled with a high-purity 123I solution. The penetration study compared the reconstructed activity of a 3.4-cm diameter sphere with and without the presence of surrounding activity. In the study of volume and activity quantitation, three different size spheres (diameters of 1.8 cm, 2.8 cm and 3.4 cm) were imaged in three different sphere-to-background (S:B) 123I concentration ratios (2.5, 5 and 10) with low-energy collimators. The filtered backprojection reconstruction method was used with compensation for scatter, attenuation and detector response. Volume and activity measurements were obtained from the SPECT image using a semiautomatic gradient technique which estimates the location of the sphere/boundary in three dimensions. RESULTS: With the low-energy collimator, there was only a small (< 2%) increase in the measured activity of the sphere when surrounding activity was present. The measured volume for the two largest spheres was within 5% of the true volume for all S:B ratios. The activity measurement of these spheres was consistently underestimated by 20%-25% but suggested that the accuracy could be improved with calibration. For the smallest sphere, the volume was grossly overestimated and only at the 10 S:B ratio was the activity measured reasonably accurately (< 20%). CONCLUSIONS: The low-energy collimators used in this study are suitable for quantitative 123I SPECT. Accurate SPECT volume and activity quantitation of 123I distribution can be achieved by semiautomatic means at clinical count densities for objects as small as 2.8 cm in diameter and reasonable activity quantitation is possible for smaller objects with an S:B ratio of at least 10.

Humans↗

Performance characteristics of a whole-body PET scanner.

METHODS: This study characterizes the performance of a newly developed whole-body PET scanner (Advance, General Electric Medical Systems, Milwaukee, WI). The scanner consists of 12,096 bismuth germinate crystals (4.0 mm transaxial by 8.1 mm axial by 30 mm radial) in 18 rings, giving 35 two-dimensional image planes through an axial field of view of 15.2 cm. The rings are separated by retractable tungsten septa. Intrinsic spatial resolution, scatter fraction, sensitivity, high count rate performance and image quality are evaluated. RESULTS: Transaxial resolution (in FWHM) is 3.8 mm at the center and increases to 5.0 mm tangential and 7.3 mm radial at R = 20 cm. Average axial resolution decreases from 4.0 mm FWHM at the center to 6.6 mm at R = 20 cm. Scatter fraction is 9.4% and 10.2% for direct and cross slices, respectively. With septa out, the average scatter fraction is 34%. Total system sensitivity for true events (in kcps/(microCi/cc)) is 223 with septa in and 1200 with septa out. Dead-time losses of 50% correspond to a radioactivity concentration of 4.9 (0.81) microCi/cc and a true event count rate of 489 (480) kcps with septa in (out). Noise-equivalent count rate (NECR) for the system as a whole shows a maximum of 261 (159) kcps at a radioactivity concentration of 4.1 (0.65) microCi/cc with septa in (out). NECR is insensitive to changes in lower gamma-energy discrimination between 250-350 keV. CONCLUSIONS: The results show the performance of the newly designed PET scanner to be well suited for clinical and research applications.

Brain↗

An evaluation of lesion detectability with cone-beam, fanbeam and parallel-beam collimation in SPECT by continuous ROC study.

UNLABELLED: To evaluate lesion detectability for clinical evaluation of cone-beam (CB), fanbeam (FB) and parallel-beam (PB) collimator sensitivity, experimentally acquired phantom data were used to assess the advantage of CB collimation over conventional collimation. METHODS: Lesion detectability with CB, FB and PB collimation in SPECT was compared using a three-dimensional brain phantom and continuous receiver operating characteristic (CROC) analysis. A simulated cold lesion was located near the posterior portion of the thalamus. High count density scans of this phantom were acquired with CB, FB and PB collimators with similar resolution. These projections were scaled to count levels which reflected the measured sensitivities of the three collimators. Computer-generated Poisson noise was added to the projections to produce uncorrelated data sets. Images were reconstructed using a filtered backprojection algorithm. All reconstructions used a Hann filter with multiplicative attenuation correction. Each of seven trained observers viewed 288 sets of images and indicated the certainty of perceiving a cold lesion at a specified location by a rating of 0-100. Each image set contained four adjacent slices centered on the lesion to minimize partial volume effects. The program LABROC4 was used to fit CROC curves to individual observers' ratings. A t-test for paired data was performed on the individual areas. RESULTS: The average areas (standard deviations) under CROC curves for CB, FB and PB were 0.89 (0.03), 0.83 (0.05) and 0.76 (0.04), respectively. The differences of the areas were statistically significant with all two-tailed p values < 0.02. CONCLUSION: These results demonstrate that cold lesions in the posterior portion of the thalamus are best detected by images obtained using CB followed by FB and PB collimation.

Brain↗

The utility of SPECT lung perfusion scans in minimizing and assessing the physiologic consequences of thoracic irradiation.

PURPOSE: Three-dimensional single photon emission computed tomography lung perfusion scans (SPECT) provide a unique quantitative 3-dimensional map of the distribution of functioning pulmonary vascular/alveolar subunits, information not provided by other imaging modalities. This report describes our initial experience utilizing these scans to assist in the design of radiation treatment beams and to assess changes in regional lung function following irradiation. METHODS AND MATERIALS: Patients were immobilized and scanned in the treatment position with appropriate fiducial markers. Four millicuries of technetium 99M microaggregated albumin were injected and SPECT images of the lung were generated. Pre-treatment SPECT images were used to help design radiation beams to minimize irradiation of functioning lung. Pre- and post-treatment scans were compared to assess changes in regional function. These changes in function were then correlated with the regional radiation dose. RESULTS: Pre-radiotherapy SPECT scans were obtained in 18 patients (11 with lung cancer). Marked variations in regional function were frequently noted. In patients with primary lung tumors, these variations were not necessarily immediately adjacent to the tumor volume. In general, patients with poor pulmonary function pre-treatment, in whom one would like to spare as much normal lung as possible, had the most non-uniform distribution throughout the lung of functioning vascular/alveolar subunits. In these cases, pre-treatment scans were most useful in designing radiation portals to minimize irradiation of functioning lung. SPECT scans were also used to detect changes in regional lung function secondary to radiotherapy in four patients. With doses in excess of 40 Gy, reductions in regional function were noted 1-6 months following completion of radiotherapy. These reductions were not necessarily accompanied by reductions in conventional pulmonary function tests, which are assessments of whole lung function and may not reflect regional lung injury if the volume affected is small. CONCLUSIONS: SPECT lung scans provide an excellent means of assessing regional lung function, superior to that obtainable with planar images. The functional data provided by the SPECT images is useful in designing "optimal" radiation treatment beams and in assessing the effect of radiotherapy on regional lung functions. Efforts are continuing in our laboratory to develop a dose response curve for regional lung damage using the tools of SPECT scanning and 3-dimensional dose calculations.

Aged↗

Measuring astatine-211 distributions with SPECT.

We have investigated standard SPECT techniques (rotating gamma cameras, multi-hole collimators, and filtered backprojection reconstruction) for imaging astatine-211 distributions. Since 211At emits alpha particles, this nuclide has potential for use in radiotherapy. The capability of imaging this nuclide would allow in vivo evaluation of the distribution and stability of potential 211At-labelled radiotherapeutic agents. 211At decay yields x-rays in the 77-92 keV range in addition to 500-900 keV gamma rays. This study evaluates the feasibility of SPECT imaging using the x-ray emissions of 211At. We have evaluated several collimators, with the determination that the medium-energy collimators we used are suitable, with 7% penetration (uncollimated counts versus collimated counts). Several phantoms were imaged and attenuation coefficients were measured (narrow-beam mu = 0.182 cm-1 for 77-80 keV x-rays in water). Reconstructed images demonstrate qualitative capabilities and a simple quantitative study demonstrates good correction for attenuation and scatter (approximately 10% error), at low count densities, at least for the phantom geometries used in this study.

Astatine↗

Normal brain F-18 FDG-PET and MRI anatomy.

Image registration techniques will become increasingly important in correlative multimodality imaging. In the case of PET, a structural imaging study can be invaluable in correlating structure metabolism relationships. A registered brain atlas of PET and MRI has been developed by the authors that allows clinicians, residents, fellows, and others to refer to a structural abnormality on MRI or metabolic abnormality on PET and correlate it neuro-anatomically.

Brain↗

Accuracy of registration of PET, SPECT and MR images of a brain phantom.

Accuracy of a surface-fitting algorithm for three-dimensional image registration of single photon emission computed tomography (SPECT), positron emission tomography (PET), and magnetic resonance (MR) images was tested using a three-dimensional, water-fillable brain phantom. Multislice or volume image sets were acquired for each modality. Small fiducial markers were attached to assess accuracy of surface fitting and provide an alternate fitting technique. A maximum gradient technique was found to work well for SPECT and PET edge detection. Transformation parameters for translation, rotation and scaling were determined by surface fit to match each SPECT and PET scan with MR images. Using the markers, overall translation errors were found to be < 2 mm in each direction and rotational errors < 2 degrees in every case. Errors for specific internal regions were also determined to be < 2 mm for most regions, with only a few fits resulting in errors > 3 mm for some cortical regions. Results indicate surface fitting to be sufficiently accurate for visual comparison of registered images and for enhanced SPECT and PET region of interest (ROI) determination and image reconstruction.

Algorithms↗

Simultaneous compensation for attenuation, scatter and detector response for SPECT reconstruction in three dimensions.

A three-dimensional reconstruction method for simultaneous compensation of attenuation, scatter and distance-dependent detector response for single photon emission computed tomography is described and tested by experimental studies. The method determines the attenuation factors recursively along each projection ray starting at the intersected source voxel closest to the detector. The method substracts the scatter energy window data from the primary energy window data for scatter compensation. The detector response is modelled to be spatially invariant at a constant distance from the detector. The method convolves source distribution with the modelled response function to compensate for the smoothed by use of a non-uniform entropy prior to searching for the maximum a posteriori probability solution. The method was tested using projections acquired from a chest phantom by a three-headed detector system with parallel hole collimators. An improvement was shown in image noise, recognition of object sizes and shapes, and quantification of concentration ratios.

Image Processing, Computer-Assisted↗

Estimation of myocardial blood flow for longitudinal studies with 13N-labeled ammonia and positron emission tomography.

BACKGROUND: Although several modeling strategies have been developed and validated for quantification of myocardial blood flow (MBF) from 13N-labeled ammonia positron emission tomographic data, a comparison of noise characteristics of the various techniques in serial studies is lacking. METHODS AND RESULTS: Dynamic 13N-labeled ammonia positron emission tomographic imaging was performed at baseline and after pharmacologic stress in (1) single studies of four dogs with concomitant measurement of microsphere blood flow and (2) initial and follow-up studies of eight normal volunteers. Data were obtained from short-axis images for the blood pool and myocardial regions corresponding to the three arterial vascular territories. Indexes of MBF were obtained by four distinct techniques: (1) University of California, Los Angeles, two-compartment model, (2) Michigan two-compartment model, and (3) a one-compartment model with variable blood volume term. Coronary flow reserve (CFR) was measured as the ratio of stress/rest MBF. The estimated standard deviation of the measurement error for the relative change between studies of rest and stress MBF and CFR was determined for each technique. Estimates of MBF from all techniques showed good correlation with microsphere blood flow (r = 0.95 to 0.96) in canine myocardium. In human studies, similar mean estimates of MBF were found with all techniques. Techniques 1 and 3 showed the smallest interstudy variability in MBF and CFR. The estimated standard deviations for these techniques were approximately 20%, 30%, and 27% for rest MBF, stress MBF, and CFR, respectively. CONCLUSION: Noninvasive quantification of MBF and CFR from dynamic 13N-labeled ammonia positron emission tomography is most reproducible with technique 1 or 3. The ability to account for differences in myocardial partial volume gives preference to technique 3. However, substantial interstudy variability in regional MBF remains, suggesting the importance of procedural factors or real temporal fluctuations in MBF.

Ammonia↗

Accuracy of surface fit registration for PET and MR brain images using full and incomplete brain surfaces.

OBJECTIVE: The accuracy of a surface-fitting image registration technique has been investigated for matching [18F]fluorodeoxyglucose (FDG) and [15O]H2O PET brain images with MR images. Use of partial-brain surfaces (a single hemisphere or a limited number of slices) was investigated to simulate cases in which severe brain defects or limited axial field of view would preclude using the entire brain surface. MATERIALS AND METHODS: Three FDG and three H2O scans were performed on five volunteers, in addition to volume MR studies. Fiducial markers were placed on the subjects' scalps to provide references for registration accuracy. The registration procedure was applied to each PET-MR set, using the surfaces defined by locating the brain edge in multiple slices for each set. RESULTS: The surfaces fit well, with only 1% scaling necessary for the best fit. Errors in fiducial marker positions between MRI and transformed PET were < 2 mm in the transverse directions and < 4.5 mm in the axial direction. Fits based on the partial surfaces worked well and gave results very similar to the full-brain fits. CONCLUSION: The surface-fitting technique is accurate for FDG and H2O PET studies, even when part of the brain surface cannot be used.

Algorithms↗