Literature DB >> 19504108

A comparative study on manual and automatic slice-to-volume registration of CT images.

Laura Frühwald1, Joachim Kettenbach, Michael Figl, Johann Hummel, Helmar Bergmann, Wolfgang Birkfellner.   

Abstract

In order to assess the clinical relevance of a slice-to-volume registration algorithm, this technique was compared to manual registration. Reformatted images obtained from a diagnostic CT examination of the lower abdomen were reviewed and manually registered by 41 individuals. The results were refined by the algorithm. Furthermore, a fully automatic registration of the single slices to the whole CT examination, without manual initialization, was also performed. The manual registration error for rotation and translation was found to be 2.7+/-2.8 degrees and 4.0+/-2.5 mm. The automated registration algorithm significantly reduced the registration error to 1.6+/-2.6 degrees and 1.3+/-1.6 mm (p = 0.01). In 3 of 41 (7.3%) registration cases, the automated registration algorithm failed completely. On average, the time required for manual registration was 213+/-197 s; automatic registration took 82+/-15 s. Registration was also performed without any human interaction. The resulting registration error of the algorithm without manual pre-registration was found to be 2.9+/-2.9 degrees and 1.1+/-0.2 mm. Here, a registration took 91+/-6 s, on average. Overall, the automated registration algorithm improved the accuracy of manual registration by 59% in rotation and 325% in translation. The absolute values are well within a clinically relevant range.

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Year:  2009        PMID: 19504108      PMCID: PMC2855949          DOI: 10.1007/s00330-009-1452-0

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  16 in total

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2.  Slice-to-volume registration and its potential application to interventional MRI-guided radio-frequency thermal ablation of prostate cancer.

Authors:  Baowei Fei; Jeffrey L Duerk; Daniel T Boll; Jonathan S Lewin; David L Wilson
Journal:  IEEE Trans Med Imaging       Date:  2003-04       Impact factor: 10.048

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4.  Analyze: a comprehensive, operator-interactive software package for multidimensional medical image display and analysis.

Authors:  R A Robb; D P Hanson; R A Karwoski; A G Larson; E L Workman; M C Stacy
Journal:  Comput Med Imaging Graph       Date:  1989 Nov-Dec       Impact factor: 4.790

5.  Rigid 2D/3D slice-to-volume registration and its application on fluoroscopic CT images.

Authors:  Wolfgang Birkfellner; Michael Figl; Joachim Kettenbach; Johann Hummel; Peter Homolka; Rüdiger Schernthaner; Thomas Nau; Helmar Bergmann
Journal:  Med Phys       Date:  2007-01       Impact factor: 4.071

6.  Benefits and safety of CT fluoroscopy in interventional radiologic procedures.

Authors:  S K Carlson; C E Bender; K L Classic; F E Zink; J P Quam; E M Ward; A L Oberg
Journal:  Radiology       Date:  2001-05       Impact factor: 11.105

7.  Predicting error in rigid-body point-based registration.

Authors:  J M Fitzpatrick; J B West; C R Maurer
Journal:  IEEE Trans Med Imaging       Date:  1998-10       Impact factor: 10.048

8.  Diagnosis of primary bone tumors with image-guided percutaneous biopsy: experience with 110 tumors.

Authors:  James S Jelinek; Mark D Murphey; James A Welker; Robert M Henshaw; Mark J Kransdorf; Barry M Shmookler; Martin M Malawer
Journal:  Radiology       Date:  2002-06       Impact factor: 11.105

9.  A patient-to-computed-tomography image registration method based on digitally reconstructed radiographs.

Authors:  L Lemieux; R Jagoe; D R Fish; N D Kitchen; D G Thomas
Journal:  Med Phys       Date:  1994-11       Impact factor: 4.071

10.  Registration of DRRs and portal images for verification of stereotactic body radiotherapy: a feasibility study in lung cancer treatment.

Authors:  Thomas Künzler; Jozef Grezdo; Joachim Bogner; Wolfgang Birkfellner; Dietmar Georg
Journal:  Phys Med Biol       Date:  2007-03-26       Impact factor: 3.609

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  2 in total

1.  3D-2D registration for surgical guidance: effect of projection view angles on registration accuracy.

Authors:  A Uneri; Y Otake; A S Wang; G Kleinszig; S Vogt; A J Khanna; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2013-12-19       Impact factor: 3.609

2.  Stochastic rank correlation: a robust merit function for 2D/3D registration of image data obtained at different energies.

Authors:  Wolfgang Birkfellner; Markus Stock; Michael Figl; Christelle Gendrin; Johann Hummel; Shuo Dong; Joachim Kettenbach; Dietmar Georg; Helmar Bergmann
Journal:  Med Phys       Date:  2009-08       Impact factor: 4.071

  2 in total

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