Use of a Ray-Based Reconstruction Algorithm to Accurately Quantify Preclinical MicroSPECT Images
This work aimed to measure the in vivo quantification errors obtained when ray-based iterative reconstruction is used in micro-single-photon emission computed tomography (SPECT). This was investigated with an extensive phantom-based evaluation and two typical in vivo studies using 99m Tc and 111 In,...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2014-06-01
|
| Series: | Molecular Imaging |
| Online Access: | https://doi.org/10.2310/7290.2014.00007 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850087184126705664 |
|---|---|
| author | Bert Vandeghinste Roel Van Holen Christian Vanhove Filip De Vos Stefaan Vandenberghe Steven Staelens |
| author_facet | Bert Vandeghinste Roel Van Holen Christian Vanhove Filip De Vos Stefaan Vandenberghe Steven Staelens |
| author_sort | Bert Vandeghinste |
| collection | DOAJ |
| description | This work aimed to measure the in vivo quantification errors obtained when ray-based iterative reconstruction is used in micro-single-photon emission computed tomography (SPECT). This was investigated with an extensive phantom-based evaluation and two typical in vivo studies using 99m Tc and 111 In, measured on a commercially available cadmium zinc telluride (CZT)-based small-animal scanner. Iterative reconstruction was implemented on the GPU using ray tracing, including (1) scatter correction, (2) computed tomography-based attenuation correction, (3) resolution recovery, and (4) edge-preserving smoothing. It was validated using a National Electrical Manufacturers Association (NEMA) phantom. The in vivo quantification error was determined for two radiotracers: [ 99m Tc]DMSA in naive mice ( n = 10 kidneys) and [ 111 In]octreotide in mice ( n = 6) inoculated with a xenograft neuroendocrine tumor (NCI-H727). The measured energy resolution is 5.3% for 140.51 keV ( 99m Tc), 4.8% for 171.30 keV, and 3.3% for 245.39 keV ( 111 In). For 99m Tc, an uncorrected quantification error of 28 ± 3% is reduced to 8 ± 3%. For 111 In, the error reduces from 26 ± 14% to 6 ± 22%. The in vivo error obtained with “ m Tc-dimercaptosuccinic acid ([ 99m Tc]DMSA) is reduced from 16.2 ± 2.8% to −0.3 ± 2.1% and from 16.7 ± 10.1% to 2.2 ± 10.6% with [ 111 In]octreotide. Absolute quantitative in vivo SPECT is possible without explicit system matrix measurements. An absolute in vivo quantification error smaller than 5% was achieved and exemplified for both [” m Tc]DMSA and [ 111 In]octreotide. |
| format | Article |
| id | doaj-art-e0340e8896ff42748c7a1cdeb6990fd6 |
| institution | DOAJ |
| issn | 1536-0121 |
| language | English |
| publishDate | 2014-06-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Molecular Imaging |
| spelling | doaj-art-e0340e8896ff42748c7a1cdeb6990fd62025-08-20T02:43:16ZengSAGE PublishingMolecular Imaging1536-01212014-06-011310.2310/7290.2014.0000710.2310_7290.2014.00007Use of a Ray-Based Reconstruction Algorithm to Accurately Quantify Preclinical MicroSPECT ImagesBert VandeghinsteRoel Van HolenChristian VanhoveFilip De VosStefaan VandenbergheSteven StaelensThis work aimed to measure the in vivo quantification errors obtained when ray-based iterative reconstruction is used in micro-single-photon emission computed tomography (SPECT). This was investigated with an extensive phantom-based evaluation and two typical in vivo studies using 99m Tc and 111 In, measured on a commercially available cadmium zinc telluride (CZT)-based small-animal scanner. Iterative reconstruction was implemented on the GPU using ray tracing, including (1) scatter correction, (2) computed tomography-based attenuation correction, (3) resolution recovery, and (4) edge-preserving smoothing. It was validated using a National Electrical Manufacturers Association (NEMA) phantom. The in vivo quantification error was determined for two radiotracers: [ 99m Tc]DMSA in naive mice ( n = 10 kidneys) and [ 111 In]octreotide in mice ( n = 6) inoculated with a xenograft neuroendocrine tumor (NCI-H727). The measured energy resolution is 5.3% for 140.51 keV ( 99m Tc), 4.8% for 171.30 keV, and 3.3% for 245.39 keV ( 111 In). For 99m Tc, an uncorrected quantification error of 28 ± 3% is reduced to 8 ± 3%. For 111 In, the error reduces from 26 ± 14% to 6 ± 22%. The in vivo error obtained with “ m Tc-dimercaptosuccinic acid ([ 99m Tc]DMSA) is reduced from 16.2 ± 2.8% to −0.3 ± 2.1% and from 16.7 ± 10.1% to 2.2 ± 10.6% with [ 111 In]octreotide. Absolute quantitative in vivo SPECT is possible without explicit system matrix measurements. An absolute in vivo quantification error smaller than 5% was achieved and exemplified for both [” m Tc]DMSA and [ 111 In]octreotide.https://doi.org/10.2310/7290.2014.00007 |
| spellingShingle | Bert Vandeghinste Roel Van Holen Christian Vanhove Filip De Vos Stefaan Vandenberghe Steven Staelens Use of a Ray-Based Reconstruction Algorithm to Accurately Quantify Preclinical MicroSPECT Images Molecular Imaging |
| title | Use of a Ray-Based Reconstruction Algorithm to Accurately Quantify Preclinical MicroSPECT Images |
| title_full | Use of a Ray-Based Reconstruction Algorithm to Accurately Quantify Preclinical MicroSPECT Images |
| title_fullStr | Use of a Ray-Based Reconstruction Algorithm to Accurately Quantify Preclinical MicroSPECT Images |
| title_full_unstemmed | Use of a Ray-Based Reconstruction Algorithm to Accurately Quantify Preclinical MicroSPECT Images |
| title_short | Use of a Ray-Based Reconstruction Algorithm to Accurately Quantify Preclinical MicroSPECT Images |
| title_sort | use of a ray based reconstruction algorithm to accurately quantify preclinical microspect images |
| url | https://doi.org/10.2310/7290.2014.00007 |
| work_keys_str_mv | AT bertvandeghinste useofaraybasedreconstructionalgorithmtoaccuratelyquantifypreclinicalmicrospectimages AT roelvanholen useofaraybasedreconstructionalgorithmtoaccuratelyquantifypreclinicalmicrospectimages AT christianvanhove useofaraybasedreconstructionalgorithmtoaccuratelyquantifypreclinicalmicrospectimages AT filipdevos useofaraybasedreconstructionalgorithmtoaccuratelyquantifypreclinicalmicrospectimages AT stefaanvandenberghe useofaraybasedreconstructionalgorithmtoaccuratelyquantifypreclinicalmicrospectimages AT stevenstaelens useofaraybasedreconstructionalgorithmtoaccuratelyquantifypreclinicalmicrospectimages |