Literature DB >> 24639457

Anatomic evaluation of 3-dimensional ultrashort-echo-time bone maps for PET/MR attenuation correction.

Gaspar Delso1, Michael Carl, Florian Wiesinger, Laura Sacolick, Miguel Porto, Martin Hüllner, Andreas Boss, Patrick Veit-Haibach.   

Abstract

UNLABELLED: Ultrashort-echo-time (UTE) sequences have been proposed in the past for MR-based attenuation correction of PET data, because of their ability to image cortical bone. In the present work we assessed the limitations of dual-echo UTE imaging for bone segmentation in head and neck imaging. Sequentially acquired MR and PET/CT clinical data were used for this purpose.
METHODS: Twenty patients referred for a clinical oncology examination were scanned using a trimodality setup. Among the MR sequences, a dual-echo UTE acquisition of the head was acquired and used to create tissue R2 maps. The different undesired structures present in these maps were identified by an experienced radiologist. Global and local measurements of the overlap between R2-based and CT-based bone masks were computed.
RESULTS: UTE R2 maps displayed a nonfunctional relation with CT data. The obtained bone masks showed acceptable overlap with the corresponding CT data, in the case of the skull itself (e.g., 47% mismatch for the parietal region), with decreased performance in the base of the skull and in the neck (e.g., 78% for the maxillary region). Unwanted structures were detected, both anatomic (e.g., sternocleidomastoid, temporal, and masseter muscles) and artifactual (e.g., dental implants and air-tissue interfaces).
CONCLUSION: It is indeed possible to estimate the anatomic location of bone tissue using UTE sequences. However, using pure parametric maps for attenuation correction may lead to bias close to certain anatomic structures and areas of high magnetic field inhomogeneity. More sophisticated approaches are necessary to compensate for these effects.

Entities:  

Keywords:  PET/MR; UTE; attenuation; limitations; skull

Mesh:

Substances:

Year:  2014        PMID: 24639457     DOI: 10.2967/jnumed.113.130880

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  19 in total

Review 1.  Combined PET/MRI: Multi-modality Multi-parametric Imaging Is Here: Summary Report of the 4th International Workshop on PET/MR Imaging; February 23-27, 2015, Tübingen, Germany.

Authors:  D L Bailey; B J Pichler; B Gückel; H Barthel; A J Beer; J Bremerich; J Czernin; A Drzezga; C Franzius; V Goh; M Hartenbach; H Iida; A Kjaer; C la Fougère; C N Ladefoged; I Law; K Nikolaou; H H Quick; O Sabri; J Schäfer; M Schäfers; H F Wehrl; T Beyer
Journal:  Mol Imaging Biol       Date:  2015-10       Impact factor: 3.488

2.  PET/MR brain imaging: evaluation of clinical UTE-based attenuation correction.

Authors:  Lars Birger Aasheim; Anna Karlberg; Pål Erik Goa; Asta Håberg; Sveinung Sørhaug; Unn-Merete Fagerli; Live Eikenes
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-04-22       Impact factor: 9.236

3.  Do myocardial PET-MR and PET-CT FDG images provide comparable information?

Authors:  Jorge D Oldan; Shetal N Shah; Richard C Brunken; Frank P DiFilippo; Nancy A Obuchowski; Michael A Bolen
Journal:  J Nucl Cardiol       Date:  2015-06-13       Impact factor: 5.952

4.  Automatic correction of dental artifacts in PET/MRI.

Authors:  Claes N Ladefoged; Flemming L Andersen; Sune H Keller; Thomas Beyer; Ian Law; Liselotte Højgaard; Sune Darkner; Francois Lauze
Journal:  J Med Imaging (Bellingham)       Date:  2015-06-09

5.  Susceptibility-Based Neuroimaging: Standard Methods, Clinical Applications, and Future Directions.

Authors:  Salil Soman; Jose A Bregni; Berkin Bilgic; Ursula Nemec; Audrey Fan; Zhe Liu; Robert L Barry; Jiang Du; Keith Main; Jerome Yesavage; Maheen M Adamson; Michael Moseley; Yi Wang
Journal:  Curr Radiol Rep       Date:  2017-02-14

6.  Probabilistic Air Segmentation and Sparse Regression Estimated Pseudo CT for PET/MR Attenuation Correction.

Authors:  Yasheng Chen; Meher Juttukonda; Yi Su; Tammie Benzinger; Brian G Rubin; Yueh Z Lee; Weili Lin; Dinggang Shen; David Lalush; Hongyu An
Journal:  Radiology       Date:  2014-12-17       Impact factor: 11.105

Review 7.  Attenuation Correction for Magnetic Resonance Coils in Combined PET/MR Imaging: A Review.

Authors:  Mootaz Eldib; Jason Bini; David D Faul; Niels Oesingmann; Charalampos Tsoumpas; Zahi A Fayad
Journal:  PET Clin       Date:  2015-11-27

Review 8.  MR Imaging-Guided Attenuation Correction of PET Data in PET/MR Imaging.

Authors:  David Izquierdo-Garcia; Ciprian Catana
Journal:  PET Clin       Date:  2016-01-26

9.  Comparison between MRI-based attenuation correction methods for brain PET in dementia patients.

Authors:  Jorge Cabello; Mathias Lukas; Elena Rota Kops; André Ribeiro; N Jon Shah; Igor Yakushev; Thomas Pyka; Stephan G Nekolla; Sibylle I Ziegler
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-04-20       Impact factor: 9.236

10.  Dixon Sequence with Superimposed Model-Based Bone Compartment Provides Highly Accurate PET/MR Attenuation Correction of the Brain.

Authors:  Thomas Koesters; Kent P Friedman; Matthias Fenchel; Yiqiang Zhan; Gerardo Hermosillo; James Babb; Ileana O Jelescu; David Faul; Fernando E Boada; Timothy M Shepherd
Journal:  J Nucl Med       Date:  2016-02-02       Impact factor: 10.057

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