Literature DB >> 17549564

Acceptance test of a commercially available software for automatic image registration of computed tomography (CT), magnetic resonance imaging (MRI) and 99mTc-methoxyisobutylisonitrile (MIBI) single-photon emission computed tomography (SPECT) brain images.

Gianfranco Loi1, Marco Dominietto, Irene Manfredda, Eleonora Mones, Alessandro Carriero, Eugenio Inglese, Marco Krengli, Marco Brambilla.   

Abstract

This note describes a method to characterize the performances of image fusion software (Syntegra) with respect to accuracy and robustness. Computed tomography (CT), magnetic resonance imaging (MRI), and single-photon emission computed tomography (SPECT) studies were acquired from two phantoms and 10 patients. Image registration was performed independently by two couples composed of one radiotherapist and one physicist by means of superposition of anatomic landmarks. Each couple performed jointly and saved the registration. The two solutions were averaged to obtain the gold standard registration. A new set of estimators was defined to identify translation and rotation errors in the coordinate axes, independently from point position in image field of view (FOV). Algorithms evaluated were local correlation (LC) for CT-MRI, normalized mutual information (MI) for CT-MRI, and CT-SPECT registrations. To evaluate accuracy, estimator values were compared to limiting values for the algorithms employed, both in phantoms and in patients. To evaluate robustness, different alignments between images taken from a sample patient were produced and registration errors determined. LC algorithm resulted accurate in CT-MRI registrations in phantoms, but exceeded limiting values in 3 of 10 patients. MI algorithm resulted accurate in CT-MRI and CT-SPECT registrations in phantoms; limiting values were exceeded in one case in CT-MRI and never reached in CT-SPECT registrations. Thus, the evaluation of robustness was restricted to the algorithm of MI both for CT-MRI and CT-SPECT registrations. The algorithm of MI proved to be robust: limiting values were not exceeded with translation perturbations up to 2.5 cm, rotation perturbations up to 10 degrees and roto-translational perturbation up to 3 cm and 5 degrees.

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Year:  2008        PMID: 17549564      PMCID: PMC3043840          DOI: 10.1007/s10278-007-9042-7

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  16 in total

Review 1.  Software for image registration: algorithms, accuracy, efficacy.

Authors:  Brian F Hutton; Michael Braun
Journal:  Semin Nucl Med       Date:  2003-07       Impact factor: 4.446

2.  Phantom validation of coregistration of PET and CT for image-guided radiotherapy.

Authors:  William C Lavely; Christopher Scarfone; Hakan Cevikalp; Rui Li; Daniel W Byrne; Anthony J Cmelak; Benoit Dawant; Ronald R Price; Dennis E Hallahan; J Michael Fitzpatrick
Journal:  Med Phys       Date:  2004-05       Impact factor: 4.071

3.  Performance characteristics obtained for a new 3-dimensional lutetium oxyorthosilicate-based whole-body PET/CT scanner with the National Electrical Manufacturers Association NU 2-2001 standard.

Authors:  Marco Brambilla; Chiara Secco; Marco Dominietto; Roberta Matheoud; Gianmauro Sacchetti; Eugenio Inglese
Journal:  J Nucl Med       Date:  2005-12       Impact factor: 10.057

4.  Evaluation of the limits of visual detection of image misregistration in a brain fluorine-18 fluorodeoxyglucose PET-MRI study.

Authors:  J C Wong; C Studholme; D J Hawkes; M N Maisey
Journal:  Eur J Nucl Med       Date:  1997-06

5.  Multimodality image registration by maximization of mutual information.

Authors:  F Maes; A Collignon; D Vandermeulen; G Marchal; P Suetens
Journal:  IEEE Trans Med Imaging       Date:  1997-04       Impact factor: 10.048

6.  Correlation methods for the centering, rotation, and alignment of functional brain images.

Authors:  L Junck; J G Moen; G D Hutchins; M B Brown; D E Kuhl
Journal:  J Nucl Med       Date:  1990-07       Impact factor: 10.057

7.  A method for coregistration of PET and MR brain images.

Authors:  J L Andersson; A Sundin; S Valind
Journal:  J Nucl Med       Date:  1995-07       Impact factor: 10.057

8.  An interactive technique for three-dimensional image registration: validation for PET, SPECT, MRI and CT brain studies.

Authors:  U Pietrzyk; K Herholz; G Fink; A Jacobs; R Mielke; I Slansky; M Würker; W D Heiss
Journal:  J Nucl Med       Date:  1994-12       Impact factor: 10.057

9.  Registration of 3-D images using weighted geometrical features.

Authors:  C R Maurer; G B Aboutanos; B M Dawant; R J Maciunas; J M Fitzpatrick
Journal:  IEEE Trans Med Imaging       Date:  1996       Impact factor: 10.048

10.  Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers.

Authors:  Craig S Moore; Gary P Liney; Andrew W Beavis
Journal:  J Appl Clin Med Phys       Date:  2004-01-01       Impact factor: 2.102

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