Pub Date : 2005-12-01DOI: 10.1109/NSSMIC.2005.1596969
C. Lacasta, J. Bernabeu, V. Borshchov, D. Burdette, E. Chesi, N. Clinthorne, Y. Dewaraja, K. Honscheid, H. Kagan, A. Listratenko, G. Llosá, M. Mikuž, P. Modesto, M. Protsenko, W. Rogers, V. Starkov, A. Studen, P. Weilhammer, L. Zhang, G. Zinovjev, D. Žontar
This contribution describes the work made towards packaging optimization in the frame of the development of an endorectal probe for imaging the prostate. This application is based on the concept of electronic collimation for single gamma detection taking advantage of the Compton scattering of the photons in a stack of 1 mm thick silicon pad detectors and their later absorption in an external detector. This concept allows to remove the mechanical collimators used in the usual gamma cameras and, therefore, provides the possibility of improving both sensitivity and resolution. Packaging of the silicon sensors and their associated electronics is of paramount importance in this application. To address this important aspect of the device we have explored the tape automated bonding (TAB) technique for the connection of the silicon sensors to the readout electronics and for routing the signals to the outside. TAB offers an elegant solution not only for a flexible and compact interconnection between the readout ASICs and the sensors but also for ASIC selection and testing prior to the assembly of the detector and their associated readout electronics
{"title":"Development and test of TAB bonded micro-cables for silicon detectors in a Compton prostate probe","authors":"C. Lacasta, J. Bernabeu, V. Borshchov, D. Burdette, E. Chesi, N. Clinthorne, Y. Dewaraja, K. Honscheid, H. Kagan, A. Listratenko, G. Llosá, M. Mikuž, P. Modesto, M. Protsenko, W. Rogers, V. Starkov, A. Studen, P. Weilhammer, L. Zhang, G. Zinovjev, D. Žontar","doi":"10.1109/NSSMIC.2005.1596969","DOIUrl":"https://doi.org/10.1109/NSSMIC.2005.1596969","url":null,"abstract":"This contribution describes the work made towards packaging optimization in the frame of the development of an endorectal probe for imaging the prostate. This application is based on the concept of electronic collimation for single gamma detection taking advantage of the Compton scattering of the photons in a stack of 1 mm thick silicon pad detectors and their later absorption in an external detector. This concept allows to remove the mechanical collimators used in the usual gamma cameras and, therefore, provides the possibility of improving both sensitivity and resolution. Packaging of the silicon sensors and their associated electronics is of paramount importance in this application. To address this important aspect of the device we have explored the tape automated bonding (TAB) technique for the connection of the silicon sensors to the readout electronics and for routing the signals to the outside. TAB offers an elegant solution not only for a flexible and compact interconnection between the readout ASICs and the sensors but also for ASIC selection and testing prior to the assembly of the detector and their associated readout electronics","PeriodicalId":105619,"journal":{"name":"IEEE Nuclear Science Symposium Conference Record, 2005","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115735729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-12-01DOI: 10.1109/NSSMIC.2005.1596255
S. L. Seitz, J. Blackadar, S. Almecci, M. Nelson, G. Gardner, M. Rawool-Sullivan, B. Rees, J. Bounds, W. Casson, S. Garner, C.J. Sullivan
Radiation handheld instruments perform an integral role in first responder programs to detect illicit radioactive materials and reduce terrorist attacks. A comprehensive understanding of each commercial instrument's performance facilitates rapid and accurate data interpretation and threat assessment. RadAssessor was developed as a radiation detector database to characterize and evaluate commercial handheld instrument findings. Under laboratory conditions, previously reported instrument performance data have been expanded both in terms of the number of instruments tested and sources measured as well as including gamma isotope identification and neutron response findings. Instrument performance data and findings captured within RadAssessor include: radiation detectors, radioactive sources, shielding, experiments, detailed measurements, spectra, and measurement performance categorizations. Measurement performance categorizations are an approach to categorizing gamma identification results based on defining the most abundant isotopes (MAIs) identified during a measurement. There are two category systems that provide both a high-level understanding of instrument performance and a more detailed understanding with additional granularity. RadAssessor features a web-based interface for selecting instruments, isotopes, and shielding combinations. Users are provided with dynamically generated screens based on the most recent data loaded in the RadAssessor database. Graphical and textual results are generated and presented instantaneously for enhanced decision aides
{"title":"Radiation detection evaluation: RadAssessor characterizes integrated findings","authors":"S. L. Seitz, J. Blackadar, S. Almecci, M. Nelson, G. Gardner, M. Rawool-Sullivan, B. Rees, J. Bounds, W. Casson, S. Garner, C.J. Sullivan","doi":"10.1109/NSSMIC.2005.1596255","DOIUrl":"https://doi.org/10.1109/NSSMIC.2005.1596255","url":null,"abstract":"Radiation handheld instruments perform an integral role in first responder programs to detect illicit radioactive materials and reduce terrorist attacks. A comprehensive understanding of each commercial instrument's performance facilitates rapid and accurate data interpretation and threat assessment. RadAssessor was developed as a radiation detector database to characterize and evaluate commercial handheld instrument findings. Under laboratory conditions, previously reported instrument performance data have been expanded both in terms of the number of instruments tested and sources measured as well as including gamma isotope identification and neutron response findings. Instrument performance data and findings captured within RadAssessor include: radiation detectors, radioactive sources, shielding, experiments, detailed measurements, spectra, and measurement performance categorizations. Measurement performance categorizations are an approach to categorizing gamma identification results based on defining the most abundant isotopes (MAIs) identified during a measurement. There are two category systems that provide both a high-level understanding of instrument performance and a more detailed understanding with additional granularity. RadAssessor features a web-based interface for selecting instruments, isotopes, and shielding combinations. Users are provided with dynamically generated screens based on the most recent data loaded in the RadAssessor database. Graphical and textual results are generated and presented instantaneously for enhanced decision aides","PeriodicalId":105619,"journal":{"name":"IEEE Nuclear Science Symposium Conference Record, 2005","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121134443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-12-01DOI: 10.1109/NSSMIC.2005.1596695
J. Brokish, Y. Bresler
The sampling requirements in fan-beam tomography are well known and provide an estimate of the number of projections required for accurate reconstruction of the entire image. Here we consider the problem of reconstructing a small, off-center subregion of the object. We show that a subregion can be reconstructed from a smaller set of projections, reducing the computation required to form the image. The analysis requires the study of the essential support of the Fourier transform of shifted fan beam projections, which have not previously been analyzed.
{"title":"Sampling of shifted fan beam projections for region of interest reconstruction","authors":"J. Brokish, Y. Bresler","doi":"10.1109/NSSMIC.2005.1596695","DOIUrl":"https://doi.org/10.1109/NSSMIC.2005.1596695","url":null,"abstract":"The sampling requirements in fan-beam tomography are well known and provide an estimate of the number of projections required for accurate reconstruction of the entire image. Here we consider the problem of reconstructing a small, off-center subregion of the object. We show that a subregion can be reconstructed from a smaller set of projections, reducing the computation required to form the image. The analysis requires the study of the essential support of the Fourier transform of shifted fan beam projections, which have not previously been analyzed.","PeriodicalId":105619,"journal":{"name":"IEEE Nuclear Science Symposium Conference Record, 2005","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125814272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-12-01DOI: 10.1109/NSSMIC.2005.1596819
W. Segars, B. Tsui
Artifacts can arise in reconstructed SPECT images using CT-based attenuation correction (CTAC) due to patient respiratory motion. We investigate the extent of these artifacts using different CT scanners ranging from single-slice to state-of-the-art multi-slice units. The 4D NCAT phantom was used to realistically model different patient respiratory patterns (breathhold, shallow, normal, and deep breathing). In-111 ProstaScint/spl reg/ and Tc-99m Sestamibi SPECT emission projection data including the effects of attenuation, collimator-detector response and scatter were simulated from the phantoms. CT images were generated using different CT scanners with varying rotation speeds (0.5 to 14 sec/rotation). The CT data were converted into attenuation maps and used to reconstruct the emission projections with attenuation correction (AC). In each case, the CT-based AC SPECT images (with and without artifacts) were compared to assess the effect of the respiratory motion. CT respiratory artifacts were found to increase with slower rotation speeds and to affect the SPECT reconstructions using CTAC. Though less susceptible to respiratory motion, the fastest CT scanner was still found to result in artifacts in the SPECT images due to the mismatch between the CT (/spl sim/breathhold) and SPECT (average motion) data. In both cases (CT motion and CT-SPECT mismatch), the artifacts were reduced using a shallow breathing pattern. We conclude that respiratory motion is an important consideration in SPECT-CT imaging when using CT-based AC. Careful work must be done to design protocols to reduce CT artifacts while minimizing the mismatch between the CT and SPECT data.
{"title":"Effect of respiratory motion in CT-based attenuation correction in SPECT using different CT scanners and protocols","authors":"W. Segars, B. Tsui","doi":"10.1109/NSSMIC.2005.1596819","DOIUrl":"https://doi.org/10.1109/NSSMIC.2005.1596819","url":null,"abstract":"Artifacts can arise in reconstructed SPECT images using CT-based attenuation correction (CTAC) due to patient respiratory motion. We investigate the extent of these artifacts using different CT scanners ranging from single-slice to state-of-the-art multi-slice units. The 4D NCAT phantom was used to realistically model different patient respiratory patterns (breathhold, shallow, normal, and deep breathing). In-111 ProstaScint/spl reg/ and Tc-99m Sestamibi SPECT emission projection data including the effects of attenuation, collimator-detector response and scatter were simulated from the phantoms. CT images were generated using different CT scanners with varying rotation speeds (0.5 to 14 sec/rotation). The CT data were converted into attenuation maps and used to reconstruct the emission projections with attenuation correction (AC). In each case, the CT-based AC SPECT images (with and without artifacts) were compared to assess the effect of the respiratory motion. CT respiratory artifacts were found to increase with slower rotation speeds and to affect the SPECT reconstructions using CTAC. Though less susceptible to respiratory motion, the fastest CT scanner was still found to result in artifacts in the SPECT images due to the mismatch between the CT (/spl sim/breathhold) and SPECT (average motion) data. In both cases (CT motion and CT-SPECT mismatch), the artifacts were reduced using a shallow breathing pattern. We conclude that respiratory motion is an important consideration in SPECT-CT imaging when using CT-based AC. Careful work must be done to design protocols to reduce CT artifacts while minimizing the mismatch between the CT and SPECT data.","PeriodicalId":105619,"journal":{"name":"IEEE Nuclear Science Symposium Conference Record, 2005","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128238641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-12-01DOI: 10.1109/NSSMIC.2005.1596693
J. Brokish, Y. Bresler
Existing algorithms for exact helical cone beam tomographic reconstruction involve a 3-D backprojection step, which dominates the computational cost of the algorithm. Hierarchical backprojection reduces the complexity of this step from O(N/sup 4/) to O(N/sup 3/logN), greatly accelerating the reconstruction process. Here the performance of the hierarchical reconstruction is examined in the presence of noise. We demonstrate that reconstructions obtained using this method have good image quality and comparable noise performance to conventional backprojection, while providing a speedup in computation by over an order of magnitude. These properties are essential for acceptance of a fast reconstruction algorithm.
{"title":"Noise performance of fast hierarchical 3D backprojection for helical cone-beam tomography","authors":"J. Brokish, Y. Bresler","doi":"10.1109/NSSMIC.2005.1596693","DOIUrl":"https://doi.org/10.1109/NSSMIC.2005.1596693","url":null,"abstract":"Existing algorithms for exact helical cone beam tomographic reconstruction involve a 3-D backprojection step, which dominates the computational cost of the algorithm. Hierarchical backprojection reduces the complexity of this step from O(N/sup 4/) to O(N/sup 3/logN), greatly accelerating the reconstruction process. Here the performance of the hierarchical reconstruction is examined in the presence of noise. We demonstrate that reconstructions obtained using this method have good image quality and comparable noise performance to conventional backprojection, while providing a speedup in computation by over an order of magnitude. These properties are essential for acceptance of a fast reconstruction algorithm.","PeriodicalId":105619,"journal":{"name":"IEEE Nuclear Science Symposium Conference Record, 2005","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130265792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-12-01DOI: 10.1109/NSSMIC.2005.1596823
Y. Zou, D. Xia, Lifeng Yu, E. Sidky, Xiaochuan Pan
We have developed and applied the backprojection-filtration (BPF) algorithm for exact image reconstruction within regions of interest (ROIs) from data containing both longitudinal and transverse truncations. An arc-line scanning trajectory is assumed for the data acquisition. Through the numerical simulation studies, we have shown that with a proper positioning of the patient, even if the patient sizes are larger than the FOV of the scanner, 3D images within the regions of the lung or the heart can be reconstructed exactly from data containing longitudinal and transverse truncations
{"title":"Image reconstruction from longitudinally and transversely truncated data along an arc-line trajectory","authors":"Y. Zou, D. Xia, Lifeng Yu, E. Sidky, Xiaochuan Pan","doi":"10.1109/NSSMIC.2005.1596823","DOIUrl":"https://doi.org/10.1109/NSSMIC.2005.1596823","url":null,"abstract":"We have developed and applied the backprojection-filtration (BPF) algorithm for exact image reconstruction within regions of interest (ROIs) from data containing both longitudinal and transverse truncations. An arc-line scanning trajectory is assumed for the data acquisition. Through the numerical simulation studies, we have shown that with a proper positioning of the patient, even if the patient sizes are larger than the FOV of the scanner, 3D images within the regions of the lung or the heart can be reconstructed exactly from data containing longitudinal and transverse truncations","PeriodicalId":105619,"journal":{"name":"IEEE Nuclear Science Symposium Conference Record, 2005","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114692430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-12-01DOI: 10.1109/NSSMIC.2005.1596740
Mingshan Sun, E. Izaguirre, T. Funk, A. Hwang, J. Carver, S. Thompson, B. Patt, K. Parnham, T. Vandehei, Junqiang Li, B. Hasegawa
Small animal imaging relies on cone-beam reconstruction geometries to achieve high spatial resolution for both microSPECT and microCT. However, normal circular-orbit cone-beam geometries offer a restricted field of view which for microSPECT has nonuniform sensitivity and spatial resolution. These limitations can be addressed by using a more complex detector orbit such a helix. In this paper, we present a small animal helical SPECT system which uses CZT detectors to acquire radionuclide data with excellent energy resolution and spatial resolution. It incorporates a gantry with integrated slip-ring for continuous detector rotation and an automated animal bed for translation. Both simulation studies and experimental data show this scanner improves the axial spatial resolution and lengthens the field of view in the axial direction
{"title":"A small animal helical SPECT scanner","authors":"Mingshan Sun, E. Izaguirre, T. Funk, A. Hwang, J. Carver, S. Thompson, B. Patt, K. Parnham, T. Vandehei, Junqiang Li, B. Hasegawa","doi":"10.1109/NSSMIC.2005.1596740","DOIUrl":"https://doi.org/10.1109/NSSMIC.2005.1596740","url":null,"abstract":"Small animal imaging relies on cone-beam reconstruction geometries to achieve high spatial resolution for both microSPECT and microCT. However, normal circular-orbit cone-beam geometries offer a restricted field of view which for microSPECT has nonuniform sensitivity and spatial resolution. These limitations can be addressed by using a more complex detector orbit such a helix. In this paper, we present a small animal helical SPECT system which uses CZT detectors to acquire radionuclide data with excellent energy resolution and spatial resolution. It incorporates a gantry with integrated slip-ring for continuous detector rotation and an automated animal bed for translation. Both simulation studies and experimental data show this scanner improves the axial spatial resolution and lengthens the field of view in the axial direction","PeriodicalId":105619,"journal":{"name":"IEEE Nuclear Science Symposium Conference Record, 2005","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122068982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-12-01DOI: 10.1109/NSSMIC.2005.1596613
A. George, Y. Bresler
We introduce a family of fast algorithms for backprojecting images from tomographic projections. They aggregate the projections in a hierarchical structure and achieve a computational cost of O(N/sup 2/ log P), when backprojecting an N /spl times/ N pixel image from P projections. The images in the hierarchy are formed by the rotation and the adding together of other images made up of fewer projections. While these algorithms are related to existing fast algorithms, this work places them within the signal processing framework, providing systematic means to optimize and adjust the trade off between computational cost and accuracy. Rotations are performed separably in order that higher-order interpolators may be used with low computational cost. The same ideas can be applied to tomographically project an N/spl times/N pixel image onto P view-angles with a cost of O(N/sup 2/ log P).
{"title":"Fast and accurate decimation-in-angle hierarchical backprojection algorithms","authors":"A. George, Y. Bresler","doi":"10.1109/NSSMIC.2005.1596613","DOIUrl":"https://doi.org/10.1109/NSSMIC.2005.1596613","url":null,"abstract":"We introduce a family of fast algorithms for backprojecting images from tomographic projections. They aggregate the projections in a hierarchical structure and achieve a computational cost of O(N/sup 2/ log P), when backprojecting an N /spl times/ N pixel image from P projections. The images in the hierarchy are formed by the rotation and the adding together of other images made up of fewer projections. While these algorithms are related to existing fast algorithms, this work places them within the signal processing framework, providing systematic means to optimize and adjust the trade off between computational cost and accuracy. Rotations are performed separably in order that higher-order interpolators may be used with low computational cost. The same ideas can be applied to tomographically project an N/spl times/N pixel image onto P view-angles with a cost of O(N/sup 2/ log P).","PeriodicalId":105619,"journal":{"name":"IEEE Nuclear Science Symposium Conference Record, 2005","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130566284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-12-01DOI: 10.1109/NSSMIC.2005.1596783
A. Rahmim, J. Cheng, S. Blinder, M. Camborde, V. Sossi
State-of-the-art high resolution PET is now more than ever in need of scrutiny into the nature and limitations of the imaging modality itself as well as image reconstruction techniques. Particularly, we have discussed and addressed the following two considerations in the context of dynamic PET imaging: (i) The typical average numbers of counts-per-LOR are now (much) less than unity; (ii) The wide range of statistics (due to physical/biological decay of the activity) coupled with the aforementioned low count-rates-per-LOR further challenge the quantitative accuracy of dynamic reconstructions. In this context, we have argued theoretically and demonstrated experimentally, that the sinogram non-negativity constraint (when using the delayed coincidence and/or scatter subtraction techniques) will result in considerable overestimation biases. Two alternate schemes have been considered, and have been shown to remove the aforementioned bias. We have also investigated applicabilities of ordinary and convergent subsetized image reconstruction methods.
{"title":"Quantitative accuracy considerations in dynamic state-of-the-art PET imaging (when average counts-per-LOR are (much) less than unity)","authors":"A. Rahmim, J. Cheng, S. Blinder, M. Camborde, V. Sossi","doi":"10.1109/NSSMIC.2005.1596783","DOIUrl":"https://doi.org/10.1109/NSSMIC.2005.1596783","url":null,"abstract":"State-of-the-art high resolution PET is now more than ever in need of scrutiny into the nature and limitations of the imaging modality itself as well as image reconstruction techniques. Particularly, we have discussed and addressed the following two considerations in the context of dynamic PET imaging: (i) The typical average numbers of counts-per-LOR are now (much) less than unity; (ii) The wide range of statistics (due to physical/biological decay of the activity) coupled with the aforementioned low count-rates-per-LOR further challenge the quantitative accuracy of dynamic reconstructions. In this context, we have argued theoretically and demonstrated experimentally, that the sinogram non-negativity constraint (when using the delayed coincidence and/or scatter subtraction techniques) will result in considerable overestimation biases. Two alternate schemes have been considered, and have been shown to remove the aforementioned bias. We have also investigated applicabilities of ordinary and convergent subsetized image reconstruction methods.","PeriodicalId":105619,"journal":{"name":"IEEE Nuclear Science Symposium Conference Record, 2005","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128359119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2005-12-01DOI: 10.1109/NSSMIC.2005.1596879
R. Ogden, A. Ojha, K. Erlandsson, R. V. Van Heertum, J. Mann, R. Parsey
Numerous tracer kinetic models have been developed for estimation of neuroreceptor binding parameters from dynamic PET and SPECT brain studies. We have used the bootstrap technique to determine the variability of the parameter estimation as an aid in selecting the most appropriate kinetic model to use. This technique made it possible to take into account different sources of variability. We applied the method to data from 11 healthy subjects, each one scanned twice with the PET serotonin transporter ligand [11C]DASB. Tracer binding was quantified for different brain regions by kinetic analysis, based on metabolite corrected arterial plasma input functions. Six different analysis methods were used, including iterative as well as non-iterative implementations of 1- and 2-tissue compartmental models (1TC, 2TC, 1TCNI, 2TCNI), likelihood estimation in graphical analysis (LEGA), and basis pursuit (Basis). We applied the bootstrap technique to the PET data, as well as to the plasma and metabolite data. Standard errors (SE) were calculated for the total volume distribution (VT), as well as different binding potential estimates. The average and standard deviation (SD) of the estimated SE values were calculated across subjects. For comparison, we also estimated the variability of the outcome measures by bootstrapping only the tissue data. The results of the full bootstrap analysis showed that Basis was in general the best method. However, when only the tissue data were bootstrapped, the results indicated that 1TCNI was best. This shows that it can be important to take into account all sources of variability when using bootstrap identifiability for model selection
{"title":"Using bootstrap identifiability as a metric for model selection for dynamic [/sup 11/C]DASB PET data","authors":"R. Ogden, A. Ojha, K. Erlandsson, R. V. Van Heertum, J. Mann, R. Parsey","doi":"10.1109/NSSMIC.2005.1596879","DOIUrl":"https://doi.org/10.1109/NSSMIC.2005.1596879","url":null,"abstract":"Numerous tracer kinetic models have been developed for estimation of neuroreceptor binding parameters from dynamic PET and SPECT brain studies. We have used the bootstrap technique to determine the variability of the parameter estimation as an aid in selecting the most appropriate kinetic model to use. This technique made it possible to take into account different sources of variability. We applied the method to data from 11 healthy subjects, each one scanned twice with the PET serotonin transporter ligand [11C]DASB. Tracer binding was quantified for different brain regions by kinetic analysis, based on metabolite corrected arterial plasma input functions. Six different analysis methods were used, including iterative as well as non-iterative implementations of 1- and 2-tissue compartmental models (1TC, 2TC, 1TCNI, 2TCNI), likelihood estimation in graphical analysis (LEGA), and basis pursuit (Basis). We applied the bootstrap technique to the PET data, as well as to the plasma and metabolite data. Standard errors (SE) were calculated for the total volume distribution (VT), as well as different binding potential estimates. The average and standard deviation (SD) of the estimated SE values were calculated across subjects. For comparison, we also estimated the variability of the outcome measures by bootstrapping only the tissue data. The results of the full bootstrap analysis showed that Basis was in general the best method. However, when only the tissue data were bootstrapped, the results indicated that 1TCNI was best. This shows that it can be important to take into account all sources of variability when using bootstrap identifiability for model selection","PeriodicalId":105619,"journal":{"name":"IEEE Nuclear Science Symposium Conference Record, 2005","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126649758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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