Software-based PET-MR image coregistration: combined PET-MRI for the rest of us!
Background: With the introduction of hybrid positron emission tomography/magnetic resonance imaging (PET/MRI), a new imaging option to acquire multimodality images with complementary anatomical and functional information has become available. Compared with hybrid PET/computed tomography (CT), hybrid...
| Publicado en: | Pediatric Radiology Vol. 46; no. 11; pp. 1552 - 1562 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Oct2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118355293&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118355293 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03010449 O03 jtl: Pediatric Radiology issn: 03010449 maglogo: N pubinfo: dt: Oct2016 vid: 46 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 118355293 118355293 NLM27380195 118355293 10.1007/s00247-016-3641-8 NLM27380195 PMC5039099 [Available on 10/01/17] 118355293 ppf: 1552 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Software-based PET-MR image coregistration: combined PET-MRI for the rest of us! aug: au: Robertson, Matthew Liu, Xinyang Plishker, William Zaki, George Vyas, Pranav Safdar, Nabile Shekhar, Raj Robertson, Matthew S Zaki, George F Vyas, Pranav K Safdar, Nabile M affil: Sheikh Zayed Institute for Pediatric Surgical Innovation , Children's National Health System , 111 Michigan Ave. NW Washington 20010 USA sug: subj: Image Interpretation, Computer Assisted Methods Software Diagnostic Imaging Magnetic Resonance Imaging Methods Tomography, Emission-Computed Methods Male Algorithms Child Young Adult Infant Retrospective Design Female Tomography, X-Ray Computed Child, Preschool Adolescence Validation Studies Comparative Studies Evaluation Research Multicenter Studies Funding Source Human Child: 6-12 years Infant: 1-23 months Child, Preschool: 2-5 years Adolescent: 13-18 years Male Female ab: Background: With the introduction of hybrid positron emission tomography/magnetic resonance imaging (PET/MRI), a new imaging option to acquire multimodality images with complementary anatomical and functional information has become available. Compared with hybrid PET/computed tomography (CT), hybrid PET/MRI is capable of providing superior anatomical detail while removing the radiation exposure associated with CT. The early adoption of hybrid PET/MRI, however, has been limited.Objective: To provide a viable alternative to the hybrid PET/MRI hardware by validating a software-based solution for PET-MR image coregistration.Materials and Methods: A fully automated, graphics processing unit-accelerated 3-D deformable image registration technique was used to align PET (acquired as PET/CT) and MR image pairs of 17 patients (age range: 10 months-21 years, mean: 10 years) who underwent PET/CT and body MRI (chest, abdomen or pelvis), which were performed within a 28-day (mean: 10.5 days) interval. MRI data for most of these cases included single-station post-contrast axial T1-weighted images. Following registration, maximum standardized uptake value (SUVmax) values observed in coregistered PET (cPET) and the original PET were compared for 82 volumes of interest. In addition, we calculated the target registration error as a measure of the quality of image coregistration, and evaluated the algorithm's performance in the context of interexpert variability.Results: The coregistration execution time averaged 97±45 s. The overall relative SUVmax difference was 7% between cPET-MRI and PET/CT. The average target registration error was 10.7±6.6 mm, which compared favorably with the typical voxel size (diagonal distance) of 8.0 mm (typical resolution: 0.66 mm × 0.66 mm × 8 mm) for MRI and 6.1 mm (typical resolution: 3.65 mm × 3.65 mm × 3.27 mm) for PET. The variability in landmark identification did not show statistically significant differences between the algorithm and a typical expert.Conclusion: We have presented a software-based solution that achieves the many benefits of hybrid PET/MRI scanners without actually needing one. The method proved to be accurate and potentially clinically useful. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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