Quantitative Monte Carlo-based holmium-166 SPECT reconstruction
Purpose: Quantitative imaging of the radionuclide distribution is of increasing interest for microsphere radioembolization (RE) of liver malignancies, to aid treatment planning and dosimetry. For this purpose, holmium-166 (166Ho) microspheres have been developed, which can be visualized with a gamma...
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| Veröffentlicht in: | Medical physics (Lancaster) 2013-11, Vol.40 (11), p.112502-n/a |
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| creator | Elschot, Mattijs Smits, Maarten L. J. Nijsen, Johannes F. W. Lam, Marnix G. E. H. Zonnenberg, Bernard A. van den Bosch, Maurice A. A. J. Viergever, Max A. de Jong, Hugo W. A. M. |
| description | Purpose:
Quantitative imaging of the radionuclide distribution is of increasing interest for microsphere radioembolization (RE) of liver malignancies, to aid treatment planning and dosimetry. For this purpose, holmium-166 (166Ho) microspheres have been developed, which can be visualized with a gamma camera. The objective of this work is to develop and evaluate a new reconstruction method for quantitative 166Ho SPECT, including Monte Carlo-based modeling of photon contributions from the full energy spectrum.
Methods:
A fast Monte Carlo (MC) simulator was developed for simulation of166Ho projection images and incorporated in a statistical reconstruction algorithm (SPECT-fMC). Photon scatter and attenuation for all photons sampled from the full 166Ho energy spectrum were modeled during reconstruction by Monte Carlo simulations. The energy- and distance-dependent collimator-detector response was modeled using precalculated convolution kernels. Phantom experiments were performed to quantitatively evaluate image contrast, image noise, count errors, and activity recovery coefficients (ARCs) of SPECT-fMC in comparison with those of an energy window-based method for correction of down-scattered high-energy photons (SPECT-DSW) and a previously presented hybrid method that combines MC simulation of photopeak scatter with energy window-based estimation of down-scattered high-energy contributions (SPECT-ppMC+DSW). Additionally, the impact of SPECT-fMC on whole-body recovered activities (Aest) and estimated radiation absorbed doses was evaluated using clinical SPECT data of six 166Ho RE patients.
Results:
At the same noise level, SPECT-fMC images showed substantially higher contrast than SPECT-DSW and SPECT-ppMC+DSW in spheres ≥17 mm in diameter. The count error was reduced from 29% (SPECT-DSW) and 25% (SPECT-ppMC+DSW) to 12% (SPECT-fMC). ARCs in five spherical volumes of 1.96–106.21 ml were improved from 32%–63% (SPECT-DSW) and 50%–80% (SPECT-ppMC+DSW) to 76%–103% (SPECT-fMC). Furthermore, SPECT-fMC recovered whole-body activities were most accurate (Aest = 1.06 × A − 5.90 MBq, R2 = 0.97) and SPECT-fMC tumor absorbed doses were significantly higher than with SPECT-DSW (p = 0.031) and SPECT-ppMC+DSW (p = 0.031).
Conclusions:
The quantitative accuracy of166Ho SPECT is improved by Monte Carlo-based modeling of the image degrading factors. Consequently, the proposed reconstruction method enables accurate estimation of the radiation absorbed dose in clinical practice. |
| doi_str_mv | 10.1118/1.4823788 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1118_1_4823788</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1467068336</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4218-fdd3626dfc837075bdc29b024f12ad3c9dd1a1ff8a6a59fb2dacd6d6a879616a3</originalsourceid><addsrcrecordid>eNp90MtKxDAUBuAgio6XhS8gBTcqVHObNF2JDN5AccRxHdJcmEjbjEmq-PZ26ChuxmzO5uM_Jz8AhwieI4T4BTqnHJOC8w0wwrQgOcWw3AQjCEuaYwrHO2A3xjcIISNjuA12MCUYUoZG4PK5k21ySSb3YbJH3yaTTWSofV7JaHQ293XjuiZHjGUv0-vJLAtG-Tam0KnkfLsPtqysozlYzT3wenM9m9zlD0-395Orh1xRjHhutSYMM20VJwUsxpVWuKwgphZhqYkqtUYSWcslk-PSVlhLpZlmkhclQ0ySPXA85PqYnIjKJaPm_SGtUUng_kFcFL06GdQi-PfOxCQaF5Wpa9ka30WBKCsg44Swnp4OVAUfYzBWLIJrZPgSCIplqwKJVau9PVrFdlVj9K_8qbEH-QA-XW2-1ieJx-kq8Gzwy4_IZY__bl-LP3z4E77QlnwDCx6Z8g</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1467068336</pqid></control><display><type>article</type><title>Quantitative Monte Carlo-based holmium-166 SPECT reconstruction</title><source>MEDLINE</source><source>Wiley Online Library All Journals</source><source>Alma/SFX Local Collection</source><creator>Elschot, Mattijs ; Smits, Maarten L. J. ; Nijsen, Johannes F. W. ; Lam, Marnix G. E. H. ; Zonnenberg, Bernard A. ; van den Bosch, Maurice A. A. J. ; Viergever, Max A. ; de Jong, Hugo W. A. M.</creator><creatorcontrib>Elschot, Mattijs ; Smits, Maarten L. J. ; Nijsen, Johannes F. W. ; Lam, Marnix G. E. H. ; Zonnenberg, Bernard A. ; van den Bosch, Maurice A. A. J. ; Viergever, Max A. ; de Jong, Hugo W. A. M.</creatorcontrib><description>Purpose:
Quantitative imaging of the radionuclide distribution is of increasing interest for microsphere radioembolization (RE) of liver malignancies, to aid treatment planning and dosimetry. For this purpose, holmium-166 (166Ho) microspheres have been developed, which can be visualized with a gamma camera. The objective of this work is to develop and evaluate a new reconstruction method for quantitative 166Ho SPECT, including Monte Carlo-based modeling of photon contributions from the full energy spectrum.
Methods:
A fast Monte Carlo (MC) simulator was developed for simulation of166Ho projection images and incorporated in a statistical reconstruction algorithm (SPECT-fMC). Photon scatter and attenuation for all photons sampled from the full 166Ho energy spectrum were modeled during reconstruction by Monte Carlo simulations. The energy- and distance-dependent collimator-detector response was modeled using precalculated convolution kernels. Phantom experiments were performed to quantitatively evaluate image contrast, image noise, count errors, and activity recovery coefficients (ARCs) of SPECT-fMC in comparison with those of an energy window-based method for correction of down-scattered high-energy photons (SPECT-DSW) and a previously presented hybrid method that combines MC simulation of photopeak scatter with energy window-based estimation of down-scattered high-energy contributions (SPECT-ppMC+DSW). Additionally, the impact of SPECT-fMC on whole-body recovered activities (Aest) and estimated radiation absorbed doses was evaluated using clinical SPECT data of six 166Ho RE patients.
Results:
At the same noise level, SPECT-fMC images showed substantially higher contrast than SPECT-DSW and SPECT-ppMC+DSW in spheres ≥17 mm in diameter. The count error was reduced from 29% (SPECT-DSW) and 25% (SPECT-ppMC+DSW) to 12% (SPECT-fMC). ARCs in five spherical volumes of 1.96–106.21 ml were improved from 32%–63% (SPECT-DSW) and 50%–80% (SPECT-ppMC+DSW) to 76%–103% (SPECT-fMC). Furthermore, SPECT-fMC recovered whole-body activities were most accurate (Aest = 1.06 × A − 5.90 MBq, R2 = 0.97) and SPECT-fMC tumor absorbed doses were significantly higher than with SPECT-DSW (p = 0.031) and SPECT-ppMC+DSW (p = 0.031).
Conclusions:
The quantitative accuracy of166Ho SPECT is improved by Monte Carlo-based modeling of the image degrading factors. Consequently, the proposed reconstruction method enables accurate estimation of the radiation absorbed dose in clinical practice.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.4823788</identifier><identifier>PMID: 24320461</identifier><identifier>CODEN: MPHYA6</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>ALGORITHMS ; Biological material, e.g. blood, urine; Haemocytometers ; BIOLOGICAL RECOVERY ; Calibration ; Clinical Trials, Phase I as Topic ; COMPUTERIZED SIMULATION ; COMPUTERIZED TOMOGRAPHY ; Contrast ; Digital computing or data processing equipment or methods, specially adapted for specific applications ; dosimetry ; Dosimetry/exposure assessment ; GAMMA CAMERAS ; Holmium ; HOLMIUM 166 ; Humans ; Image data processing or generation, in general ; IMAGE PROCESSING ; Image Processing, Computer-Assisted - methods ; image reconstruction ; liver ; Liver Neoplasms - diagnostic imaging ; Measuring radioactive content of objects, e.g. contamination (whole‐body counters G01T011/63) ; medical image processing ; Medical image reconstruction ; Medical imaging ; Monte Carlo ; MONTE CARLO METHOD ; Monte Carlo methods ; Monte Carlo simulations ; NOISE ; PHANTOMS ; Phantoms, Imaging ; Photon scattering ; PHOTONS ; quantification ; RADIATION PROTECTION AND DOSIMETRY ; radioembolization ; RADIOLOGY AND NUCLEAR MEDICINE ; Radiometry - methods ; Reconstruction ; Reproducibility of Results ; Scattering, Radiation ; Scintigraphy ; SIMULATORS ; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY ; Single photon emission computed tomography (SPECT) ; SPECT/CT ; Tomography, Emission-Computed, Single-Photon - methods ; tumours ; X‐ray scattering</subject><ispartof>Medical physics (Lancaster), 2013-11, Vol.40 (11), p.112502-n/a</ispartof><rights>American Association of Physicists in Medicine</rights><rights>2013 American Association of Physicists in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4218-fdd3626dfc837075bdc29b024f12ad3c9dd1a1ff8a6a59fb2dacd6d6a879616a3</citedby><cites>FETCH-LOGICAL-c4218-fdd3626dfc837075bdc29b024f12ad3c9dd1a1ff8a6a59fb2dacd6d6a879616a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1118%2F1.4823788$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1118%2F1.4823788$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1416,27923,27924,45573,45574</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24320461$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/22220277$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Elschot, Mattijs</creatorcontrib><creatorcontrib>Smits, Maarten L. J.</creatorcontrib><creatorcontrib>Nijsen, Johannes F. W.</creatorcontrib><creatorcontrib>Lam, Marnix G. E. H.</creatorcontrib><creatorcontrib>Zonnenberg, Bernard A.</creatorcontrib><creatorcontrib>van den Bosch, Maurice A. A. J.</creatorcontrib><creatorcontrib>Viergever, Max A.</creatorcontrib><creatorcontrib>de Jong, Hugo W. A. M.</creatorcontrib><title>Quantitative Monte Carlo-based holmium-166 SPECT reconstruction</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>Purpose:
Quantitative imaging of the radionuclide distribution is of increasing interest for microsphere radioembolization (RE) of liver malignancies, to aid treatment planning and dosimetry. For this purpose, holmium-166 (166Ho) microspheres have been developed, which can be visualized with a gamma camera. The objective of this work is to develop and evaluate a new reconstruction method for quantitative 166Ho SPECT, including Monte Carlo-based modeling of photon contributions from the full energy spectrum.
Methods:
A fast Monte Carlo (MC) simulator was developed for simulation of166Ho projection images and incorporated in a statistical reconstruction algorithm (SPECT-fMC). Photon scatter and attenuation for all photons sampled from the full 166Ho energy spectrum were modeled during reconstruction by Monte Carlo simulations. The energy- and distance-dependent collimator-detector response was modeled using precalculated convolution kernels. Phantom experiments were performed to quantitatively evaluate image contrast, image noise, count errors, and activity recovery coefficients (ARCs) of SPECT-fMC in comparison with those of an energy window-based method for correction of down-scattered high-energy photons (SPECT-DSW) and a previously presented hybrid method that combines MC simulation of photopeak scatter with energy window-based estimation of down-scattered high-energy contributions (SPECT-ppMC+DSW). Additionally, the impact of SPECT-fMC on whole-body recovered activities (Aest) and estimated radiation absorbed doses was evaluated using clinical SPECT data of six 166Ho RE patients.
Results:
At the same noise level, SPECT-fMC images showed substantially higher contrast than SPECT-DSW and SPECT-ppMC+DSW in spheres ≥17 mm in diameter. The count error was reduced from 29% (SPECT-DSW) and 25% (SPECT-ppMC+DSW) to 12% (SPECT-fMC). ARCs in five spherical volumes of 1.96–106.21 ml were improved from 32%–63% (SPECT-DSW) and 50%–80% (SPECT-ppMC+DSW) to 76%–103% (SPECT-fMC). Furthermore, SPECT-fMC recovered whole-body activities were most accurate (Aest = 1.06 × A − 5.90 MBq, R2 = 0.97) and SPECT-fMC tumor absorbed doses were significantly higher than with SPECT-DSW (p = 0.031) and SPECT-ppMC+DSW (p = 0.031).
Conclusions:
The quantitative accuracy of166Ho SPECT is improved by Monte Carlo-based modeling of the image degrading factors. Consequently, the proposed reconstruction method enables accurate estimation of the radiation absorbed dose in clinical practice.</description><subject>ALGORITHMS</subject><subject>Biological material, e.g. blood, urine; Haemocytometers</subject><subject>BIOLOGICAL RECOVERY</subject><subject>Calibration</subject><subject>Clinical Trials, Phase I as Topic</subject><subject>COMPUTERIZED SIMULATION</subject><subject>COMPUTERIZED TOMOGRAPHY</subject><subject>Contrast</subject><subject>Digital computing or data processing equipment or methods, specially adapted for specific applications</subject><subject>dosimetry</subject><subject>Dosimetry/exposure assessment</subject><subject>GAMMA CAMERAS</subject><subject>Holmium</subject><subject>HOLMIUM 166</subject><subject>Humans</subject><subject>Image data processing or generation, in general</subject><subject>IMAGE PROCESSING</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>image reconstruction</subject><subject>liver</subject><subject>Liver Neoplasms - diagnostic imaging</subject><subject>Measuring radioactive content of objects, e.g. contamination (whole‐body counters G01T011/63)</subject><subject>medical image processing</subject><subject>Medical image reconstruction</subject><subject>Medical imaging</subject><subject>Monte Carlo</subject><subject>MONTE CARLO METHOD</subject><subject>Monte Carlo methods</subject><subject>Monte Carlo simulations</subject><subject>NOISE</subject><subject>PHANTOMS</subject><subject>Phantoms, Imaging</subject><subject>Photon scattering</subject><subject>PHOTONS</subject><subject>quantification</subject><subject>RADIATION PROTECTION AND DOSIMETRY</subject><subject>radioembolization</subject><subject>RADIOLOGY AND NUCLEAR MEDICINE</subject><subject>Radiometry - methods</subject><subject>Reconstruction</subject><subject>Reproducibility of Results</subject><subject>Scattering, Radiation</subject><subject>Scintigraphy</subject><subject>SIMULATORS</subject><subject>SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY</subject><subject>Single photon emission computed tomography (SPECT)</subject><subject>SPECT/CT</subject><subject>Tomography, Emission-Computed, Single-Photon - methods</subject><subject>tumours</subject><subject>X‐ray scattering</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp90MtKxDAUBuAgio6XhS8gBTcqVHObNF2JDN5AccRxHdJcmEjbjEmq-PZ26ChuxmzO5uM_Jz8AhwieI4T4BTqnHJOC8w0wwrQgOcWw3AQjCEuaYwrHO2A3xjcIISNjuA12MCUYUoZG4PK5k21ySSb3YbJH3yaTTWSofV7JaHQ293XjuiZHjGUv0-vJLAtG-Tam0KnkfLsPtqysozlYzT3wenM9m9zlD0-395Orh1xRjHhutSYMM20VJwUsxpVWuKwgphZhqYkqtUYSWcslk-PSVlhLpZlmkhclQ0ySPXA85PqYnIjKJaPm_SGtUUng_kFcFL06GdQi-PfOxCQaF5Wpa9ka30WBKCsg44Swnp4OVAUfYzBWLIJrZPgSCIplqwKJVau9PVrFdlVj9K_8qbEH-QA-XW2-1ieJx-kq8Gzwy4_IZY__bl-LP3z4E77QlnwDCx6Z8g</recordid><startdate>201311</startdate><enddate>201311</enddate><creator>Elschot, Mattijs</creator><creator>Smits, Maarten L. J.</creator><creator>Nijsen, Johannes F. W.</creator><creator>Lam, Marnix G. E. H.</creator><creator>Zonnenberg, Bernard A.</creator><creator>van den Bosch, Maurice A. A. J.</creator><creator>Viergever, Max A.</creator><creator>de Jong, Hugo W. A. M.</creator><general>American Association of Physicists in Medicine</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>OTOTI</scope></search><sort><creationdate>201311</creationdate><title>Quantitative Monte Carlo-based holmium-166 SPECT reconstruction</title><author>Elschot, Mattijs ; Smits, Maarten L. J. ; Nijsen, Johannes F. W. ; Lam, Marnix G. E. H. ; Zonnenberg, Bernard A. ; van den Bosch, Maurice A. A. J. ; Viergever, Max A. ; de Jong, Hugo W. A. M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4218-fdd3626dfc837075bdc29b024f12ad3c9dd1a1ff8a6a59fb2dacd6d6a879616a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>ALGORITHMS</topic><topic>Biological material, e.g. blood, urine; Haemocytometers</topic><topic>BIOLOGICAL RECOVERY</topic><topic>Calibration</topic><topic>Clinical Trials, Phase I as Topic</topic><topic>COMPUTERIZED SIMULATION</topic><topic>COMPUTERIZED TOMOGRAPHY</topic><topic>Contrast</topic><topic>Digital computing or data processing equipment or methods, specially adapted for specific applications</topic><topic>dosimetry</topic><topic>Dosimetry/exposure assessment</topic><topic>GAMMA CAMERAS</topic><topic>Holmium</topic><topic>HOLMIUM 166</topic><topic>Humans</topic><topic>Image data processing or generation, in general</topic><topic>IMAGE PROCESSING</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>image reconstruction</topic><topic>liver</topic><topic>Liver Neoplasms - diagnostic imaging</topic><topic>Measuring radioactive content of objects, e.g. contamination (whole‐body counters G01T011/63)</topic><topic>medical image processing</topic><topic>Medical image reconstruction</topic><topic>Medical imaging</topic><topic>Monte Carlo</topic><topic>MONTE CARLO METHOD</topic><topic>Monte Carlo methods</topic><topic>Monte Carlo simulations</topic><topic>NOISE</topic><topic>PHANTOMS</topic><topic>Phantoms, Imaging</topic><topic>Photon scattering</topic><topic>PHOTONS</topic><topic>quantification</topic><topic>RADIATION PROTECTION AND DOSIMETRY</topic><topic>radioembolization</topic><topic>RADIOLOGY AND NUCLEAR MEDICINE</topic><topic>Radiometry - methods</topic><topic>Reconstruction</topic><topic>Reproducibility of Results</topic><topic>Scattering, Radiation</topic><topic>Scintigraphy</topic><topic>SIMULATORS</topic><topic>SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY</topic><topic>Single photon emission computed tomography (SPECT)</topic><topic>SPECT/CT</topic><topic>Tomography, Emission-Computed, Single-Photon - methods</topic><topic>tumours</topic><topic>X‐ray scattering</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Elschot, Mattijs</creatorcontrib><creatorcontrib>Smits, Maarten L. J.</creatorcontrib><creatorcontrib>Nijsen, Johannes F. W.</creatorcontrib><creatorcontrib>Lam, Marnix G. E. H.</creatorcontrib><creatorcontrib>Zonnenberg, Bernard A.</creatorcontrib><creatorcontrib>van den Bosch, Maurice A. A. J.</creatorcontrib><creatorcontrib>Viergever, Max A.</creatorcontrib><creatorcontrib>de Jong, Hugo W. A. M.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Elschot, Mattijs</au><au>Smits, Maarten L. J.</au><au>Nijsen, Johannes F. W.</au><au>Lam, Marnix G. E. H.</au><au>Zonnenberg, Bernard A.</au><au>van den Bosch, Maurice A. A. J.</au><au>Viergever, Max A.</au><au>de Jong, Hugo W. A. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative Monte Carlo-based holmium-166 SPECT reconstruction</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2013-11</date><risdate>2013</risdate><volume>40</volume><issue>11</issue><spage>112502</spage><epage>n/a</epage><pages>112502-n/a</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><coden>MPHYA6</coden><abstract>Purpose:
Quantitative imaging of the radionuclide distribution is of increasing interest for microsphere radioembolization (RE) of liver malignancies, to aid treatment planning and dosimetry. For this purpose, holmium-166 (166Ho) microspheres have been developed, which can be visualized with a gamma camera. The objective of this work is to develop and evaluate a new reconstruction method for quantitative 166Ho SPECT, including Monte Carlo-based modeling of photon contributions from the full energy spectrum.
Methods:
A fast Monte Carlo (MC) simulator was developed for simulation of166Ho projection images and incorporated in a statistical reconstruction algorithm (SPECT-fMC). Photon scatter and attenuation for all photons sampled from the full 166Ho energy spectrum were modeled during reconstruction by Monte Carlo simulations. The energy- and distance-dependent collimator-detector response was modeled using precalculated convolution kernels. Phantom experiments were performed to quantitatively evaluate image contrast, image noise, count errors, and activity recovery coefficients (ARCs) of SPECT-fMC in comparison with those of an energy window-based method for correction of down-scattered high-energy photons (SPECT-DSW) and a previously presented hybrid method that combines MC simulation of photopeak scatter with energy window-based estimation of down-scattered high-energy contributions (SPECT-ppMC+DSW). Additionally, the impact of SPECT-fMC on whole-body recovered activities (Aest) and estimated radiation absorbed doses was evaluated using clinical SPECT data of six 166Ho RE patients.
Results:
At the same noise level, SPECT-fMC images showed substantially higher contrast than SPECT-DSW and SPECT-ppMC+DSW in spheres ≥17 mm in diameter. The count error was reduced from 29% (SPECT-DSW) and 25% (SPECT-ppMC+DSW) to 12% (SPECT-fMC). ARCs in five spherical volumes of 1.96–106.21 ml were improved from 32%–63% (SPECT-DSW) and 50%–80% (SPECT-ppMC+DSW) to 76%–103% (SPECT-fMC). Furthermore, SPECT-fMC recovered whole-body activities were most accurate (Aest = 1.06 × A − 5.90 MBq, R2 = 0.97) and SPECT-fMC tumor absorbed doses were significantly higher than with SPECT-DSW (p = 0.031) and SPECT-ppMC+DSW (p = 0.031).
Conclusions:
The quantitative accuracy of166Ho SPECT is improved by Monte Carlo-based modeling of the image degrading factors. Consequently, the proposed reconstruction method enables accurate estimation of the radiation absorbed dose in clinical practice.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>24320461</pmid><doi>10.1118/1.4823788</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
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| ispartof | Medical physics (Lancaster), 2013-11, Vol.40 (11), p.112502-n/a |
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| language | eng |
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| source | MEDLINE; Wiley Online Library All Journals; Alma/SFX Local Collection |
| subjects | ALGORITHMS Biological material, e.g. blood, urine Haemocytometers BIOLOGICAL RECOVERY Calibration Clinical Trials, Phase I as Topic COMPUTERIZED SIMULATION COMPUTERIZED TOMOGRAPHY Contrast Digital computing or data processing equipment or methods, specially adapted for specific applications dosimetry Dosimetry/exposure assessment GAMMA CAMERAS Holmium HOLMIUM 166 Humans Image data processing or generation, in general IMAGE PROCESSING Image Processing, Computer-Assisted - methods image reconstruction liver Liver Neoplasms - diagnostic imaging Measuring radioactive content of objects, e.g. contamination (whole‐body counters G01T011/63) medical image processing Medical image reconstruction Medical imaging Monte Carlo MONTE CARLO METHOD Monte Carlo methods Monte Carlo simulations NOISE PHANTOMS Phantoms, Imaging Photon scattering PHOTONS quantification RADIATION PROTECTION AND DOSIMETRY radioembolization RADIOLOGY AND NUCLEAR MEDICINE Radiometry - methods Reconstruction Reproducibility of Results Scattering, Radiation Scintigraphy SIMULATORS SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY Single photon emission computed tomography (SPECT) SPECT/CT Tomography, Emission-Computed, Single-Photon - methods tumours X‐ray scattering |
| title | Quantitative Monte Carlo-based holmium-166 SPECT reconstruction |
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