Literature DB >> 18029989

Use of the CT component of PET-CT to improve PET-MR registration: demonstration in soft-tissue sarcoma.

Edward J Somer1, Nigel A Benatar, Michael J O'Doherty, Mike A Smith, Paul K Marsden.   

Abstract

We have investigated improvements to PET-MR image registration offered by PET-CT scanning. Ten subjects with suspected soft-tissue sarcomas were scanned with an in-line PET-CT and a clinical MR scanner. PET to CT, CT to MR and PET to MR image registrations were performed using a rigid-body external marker technique and rigid and non-rigid voxel-similarity algorithms. PET-MR registration was also performed using transformations derived from the registration of CT to MR. The external marker technique gave fiducial registration errors of 2.1 mm, 5.1 mm and 5.3 mm for PET-CT, PET-MR and CT-MR registration. Target registration errors were 3.9 mm, 9.0 mm and 9.3 mm, respectively. Voxel-based algorithms were evaluated by measuring the distance between corresponding fiducials after registration. Registration errors of 6.4 mm, 14.5 mm and 9.5 mm, respectively, for PET-CT, PET-MR and CT-MR were observed for rigid-body registration while non-rigid registration gave errors of 6.8 mm, 16.3 mm and 7.6 mm for the same modality combinations. The application of rigid and non-rigid CT to MR transformations to accompanying PET data gives significantly reduced PET-MR errors of 10.0 mm and 8.5 mm, respectively. Visual comparison by two independent observers confirmed the improvement over direct PET-MR registration. We conclude that PET-MR registration can be more accurately and reliably achieved using the hybrid technique described than through direct rigid-body registration of PET to MR.

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Year:  2007        PMID: 18029989     DOI: 10.1088/0031-9155/52/23/015

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

1.  Radiomic biomarkers informative of cancerous transformation in neurofibromatosis-1 plexiform tumors.

Authors:  J Uthoff; F A De Stefano; K Panzer; B W Darbro; T S Sato; R Khanna; D E Quelle; D K Meyerholz; J Weimer; J C Sieren
Journal:  J Neuroradiol       Date:  2018-06-27       Impact factor: 3.447

2.  Higher-order singular value decomposition-based lung parcellation for breathing motion management.

Authors:  Samadrita Roy Chowdhury; Joyita Dutta
Journal:  J Med Imaging (Bellingham)       Date:  2019-05-03

3.  [18F]FDG PET/CT in the diagnosis of malignant peripheral nerve sheath tumours in neurofibromatosis type-1.

Authors:  Victoria S Warbey; Rosalie E Ferner; Joel T Dunn; Eduardo Calonje; Michael J O'Doherty
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-01-14       Impact factor: 9.236

4.  Coregistration of ultrasonography and magnetic resonance imaging with a preliminary investigation of the spatial colocalization of vascular endothelial growth factor receptor 2 expression and tumor perfusion in a murine tumor model.

Authors:  Mary E Loveless; Jennifer G Whisenant; Kevin Wilson; Andrej Lyshchik; Tuhin K Sinha; John C Gore; Thomas E Yankeelov
Journal:  Mol Imaging       Date:  2009 Jul-Aug       Impact factor: 4.488

5.  Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features.

Authors:  Wolf-Dieter Vogl; Katja Pinker; Thomas H Helbich; Hubert Bickel; Günther Grabner; Wolfgang Bogner; Stephan Gruber; Zsuzsanna Bago-Horvath; Peter Dubsky; Georg Langs
Journal:  Eur Radiol Exp       Date:  2019-04-27

6.  A method for accurate spatial registration of PET images and histopathology slices.

Authors:  Tanuj Puri; Anastasia Chalkidou; Rhonda Henley-Smith; Arunabha Roy; Paul R Barber; Teresa Guerrero-Urbano; Richard Oakley; Ricard Simo; Jean-Pierre Jeannon; Mark McGurk; Edward W Odell; Michael J O'Doherty; Paul K Marsden
Journal:  EJNMMI Res       Date:  2015-11-14       Impact factor: 3.138

  6 in total

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