Literature DB >> 17960461

Fusion viewer: a new tool for fusion and visualization of multimodal medical data sets.

Karl G Baum1, María Helguera, Andrzej Krol.   

Abstract

A new application, Fusion Viewer, available for free, has been designed and implemented with a modular object-oriented design. The viewer provides both traditional and novel tools to fuse 3D data sets such as CT (computed tomography), MRI (magnetic resonance imaging), PET (positron emission tomography), and SPECT (single photon emission tomography) of the same subject, to create maximum intensity projections (MIP) and to adjust dynamic range. In many situations, it is desirable and advantageous to acquire biomedical images in more than one modality. For example, PET can be used to acquire functional data, whereas MRI can be used to acquire morphological data. In some situations, a side-by-side comparison of the images provides enough information, but in most of the cases it may be necessary to have the exact spatial relationship between the modalities presented to the observer. To accomplish this task, the images need to first be registered and then combined (fused) to create a single image. In this paper, we discuss the options for performing such fusion in the context of multimodal breast imaging. Additionally, a novel spline-based dynamic range technique is presented in detail. It has the advantage of obtaining a high level of contrast in the intensity range of interest without discarding the intensity information outside of this range while maintaining a user interface similar to the standard window/level windowing procedure.

Mesh:

Year:  2007        PMID: 17960461      PMCID: PMC3043878          DOI: 10.1007/s10278-007-9082-z

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


  7 in total

1.  Intimate combination of low- and high-resolution image data: I. Real-space PET and (1)H(2)O MRI, PETAMRI.

Authors:  M K Sammi; C A Felder; J S Fowler; J H Lee; A V Levy; X Li; J Logan; I Pályka; W D Rooney; N D Volkow; G J Wang; C S Springer
Journal:  Magn Reson Med       Date:  1999-08       Impact factor: 4.668

2.  Intensity-modulated parametric mapping for simultaneous display of rapid dynamic and high-spatial-resolution breast MR imaging data.

Authors:  A T Agoston; B L Daniel; R J Herfkens; D M Ikeda; R L Birdwell; S G Heiss; A M Sawyer-Glover
Journal:  Radiographics       Date:  2001 Jan-Feb       Impact factor: 5.333

3.  Fusion of coregistered cross-modality images using a temporally alternating display method.

Authors:  J S Lee; B Kim; Y Chee; C Kwark; M C Lee; K S Park
Journal:  Med Biol Eng Comput       Date:  2000-03       Impact factor: 2.602

4.  A hierarchical neural network algorithm for robust and automatic windowing of MR images.

Authors:  S H Lai; M Fang
Journal:  Artif Intell Med       Date:  2000-06       Impact factor: 5.326

5.  Chest CT window settings with multiscale adaptive histogram equalization: pilot study.

Authors:  Laura M Fayad; Yinpeng Jin; Andrew F Laine; Yahya M Berkmen; Gregory D Pearson; Benjamin Freedman; Ronald Van Heertum
Journal:  Radiology       Date:  2002-06       Impact factor: 11.105

6.  An adaptive window width/center adjustment system with online training capabilities for MR images.

Authors:  Shang-Hong Lai; Ming Fang
Journal:  Artif Intell Med       Date:  2005-01       Impact factor: 5.326

7.  Display of merged multimodality brain images using interleaved pixels with independent color scales.

Authors:  K Rehm; S C Strother; J R Anderson; K A Schaper; D A Rottenberg
Journal:  J Nucl Med       Date:  1994-11       Impact factor: 10.057

  7 in total
  6 in total

1.  Evaluation of novel genetic algorithm generated schemes for positron emission tomography (PET)/magnetic resonance imaging (MRI) image fusion.

Authors:  K G Baum; E Schmidt; K Rafferty; A Krol; María Helguera
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

2.  Performance Evaluation of Color Models in the Fusion of Functional and Anatomical Images.

Authors:  Padma Ganasala; Vinod Kumar; A D Prasad
Journal:  J Med Syst       Date:  2016-04-01       Impact factor: 4.460

3.  2D/3D image fusion of X-ray mammograms with breast MRI: visualizing dynamic contrast enhancement in mammograms.

Authors:  Torsten Hopp; Pascal Baltzer; Matthias Dietzel; Werner A Kaiser; Nicole V Ruiter
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-06-05       Impact factor: 2.924

4.  Visual analytics of brain networks.

Authors:  Kaiming Li; Lei Guo; Carlos Faraco; Dajiang Zhu; Hanbo Chen; Yixuan Yuan; Jinglei Lv; Fan Deng; Xi Jiang; Tuo Zhang; Xintao Hu; Degang Zhang; L Stephen Miller; Tianming Liu
Journal:  Neuroimage       Date:  2012-03-05       Impact factor: 6.556

5.  Transcranial optical vascular imaging (TOVI) of cortical hemodynamics in mouse brain.

Authors:  Vyacheslav Kalchenko; David Israeli; Yuri Kuznetsov; Alon Harmelin
Journal:  Sci Rep       Date:  2014-07-25       Impact factor: 4.379

6.  Dynamic curvature topography for evaluating the anterior corneal surface change with Corvis ST.

Authors:  Chunhong Ji; Jinhua Yu; Tianjie Li; Lei Tian; Yifei Huang; Yuanyuan Wang; Yongping Zheng
Journal:  Biomed Eng Online       Date:  2015-06-04       Impact factor: 2.819

  6 in total

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