Multivariate image analysis in biomedicine

Nattkemper TW (2004)
JOURNAL OF BIOMEDICAL INFORMATICS 37(5): 380-391.

Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Zeitschriftenaufsatz | Veröffentlicht | Englisch
Abstract / Bemerkung
In recent years, multivariate imaging techniques are developed and applied in biomedical research in an increasing degree. In research projets and in clinical studies as well m-dimensional multivariate images (MVI) are recorded and stored to databases for a subsequent analysis. The complexity of the m-dimensional data and the growing number of high throughput applications call for new strategies for the application of image processing and data mining to support the direct interactive analysis by human experts. This article provides an overview of proposed approaches for MVI analysis in biomedicine. After summarizing the biomedical MVI techniques the two level framework for MVI analysis is illustrated. Following this framework, the state-of-the-art solutions from the fields of image processing and data mining are reviewed and discussed. Motivations for MVI data mining in biology and medicine are characterized, followed by an overview of graphical and auditory approaches for interactive data exploration. The paper concludes with summarizing open problems in MVI analysis and remarks upon the future development of biomedical MVI analysis. (C) 2004 Elsevier Inc. All rights reserved.
Erscheinungsjahr
Zeitschriftentitel
JOURNAL OF BIOMEDICAL INFORMATICS
Band
37
Zeitschriftennummer
5
Seite
380-391
ISSN
PUB-ID

Zitieren

Nattkemper TW. Multivariate image analysis in biomedicine. JOURNAL OF BIOMEDICAL INFORMATICS. 2004;37(5):380-391.
Nattkemper, T. W. (2004). Multivariate image analysis in biomedicine. JOURNAL OF BIOMEDICAL INFORMATICS, 37(5), 380-391. doi:10.1016/j.jbi.2004.07.010
Nattkemper, T. W. (2004). Multivariate image analysis in biomedicine. JOURNAL OF BIOMEDICAL INFORMATICS 37, 380-391.
Nattkemper, T.W., 2004. Multivariate image analysis in biomedicine. JOURNAL OF BIOMEDICAL INFORMATICS, 37(5), p 380-391.
T.W. Nattkemper, “Multivariate image analysis in biomedicine”, JOURNAL OF BIOMEDICAL INFORMATICS, vol. 37, 2004, pp. 380-391.
Nattkemper, T.W.: Multivariate image analysis in biomedicine. JOURNAL OF BIOMEDICAL INFORMATICS. 37, 380-391 (2004).
Nattkemper, Tim Wilhelm. “Multivariate image analysis in biomedicine”. JOURNAL OF BIOMEDICAL INFORMATICS 37.5 (2004): 380-391.

6 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Multiclass detection of cells in multicontrast composite images.
Long X, Cleveland WL, Yao YL., Comput Biol Med 40(2), 2010
PMID: 20022596
Linked Exploratory Visualizations for Uncertain MR Spectroscopy Data.
Feng D, Kwock L, Lee Y, Taylor RM., Vis Data Anal 7530(), 2010
PMID: 21152337
Evaluation of Glyph-based Multivariate Scalar Volume Visualization Techniques.
Feng D, Lee Y, Kwock L, Taylor RM., Proc APGV 2009(), 2009
PMID: 21559056
Fully automated classification of HARDI in vivo data using a support vector machine.
Schnell S, Saur D, Kreher BW, Hennig J, Burkhardt H, Kiselev VG., Neuroimage 46(3), 2009
PMID: 19285561
The neurological basis of occupation.
Gutman SA, Schindler VP., Occup Ther Int 14(2), 2007
PMID: 17623380

98 References

Daten bereitgestellt von Europe PubMed Central.


AUTHOR UNKNOWN, 0
Fluorescent histochemical techniques for analysis of intracellular signaling.
Oksvold MP, Skarpen E, Widerberg J, Huitfeldt HS., J. Histochem. Cytochem. 50(3), 2002
PMID: 11850432
Topological proteomics, toponomics, MELK-technology.
Schubert W., Adv. Biochem. Eng. Biotechnol. 83(), 2003
PMID: 12934931
The new vision of light microscopy
Taylor, Am. Sci. 90(4), 1992
Confocal microscopy
Lichtman, Sci Am 272(2), 1994

Smith, 1994
Real-time molecular and cellular analysis: the new frontier of drug discovery.
Taylor DL, Woo ES, Giuliano KA., Curr. Opin. Biotechnol. 12(1), 2001
PMID: 11167077
Spectral imaging and microscopy
Levenson, Am Lab (), 2000
An integrated confocal and magnetic resonance microscope for cellular research.
Wind RA, Minard KR, Holtom GR, Majors PD, Ackerman EJ, Colson SD, Cory DG, Daly DS, Ellis PD, Metting NF, Parkinson CI, Price JM, Tang XW., J. Magn. Reson. 147(2), 2000
PMID: 11097828

AUTHOR UNKNOWN, 2000

Webb, 2003
A review on biomedical image processing and future trends.
Dhawan AP., Comput Methods Programs Biomed 31(3-4), 1990
PMID: 2194742
Medical image analysis: progress over two decades and the challenges ahead
Duncan, IEEE Trans. PAMI 22(1), 2000
Automated melanoma detection: multispectral imaging and neural network approach for classification.
Tomatis S, Bono A, Bartoli C, Carrara M, Lualdi M, Tragni G, Marchesini R., Med Phys 30(2), 2003
PMID: 12607839
Diffusion tensor imaging: background, potential, and utility in psychiatric research.
Taylor WD, Hsu E, Krishnan KR, MacFall JR., Biol. Psychiatry 55(3), 2004
PMID: 14744459

Beck, 1996
Benign and malignant breast lesions: diagnosis with multiparametric MR imaging.
Jacobs MA, Barker PB, Bluemke DA, Maranto C, Arnold C, Herskovits EH, Bhujwalla Z., Radiology 229(1), 2003
PMID: 14519877
PET/CT image navigation and communication.
Ratib O., J. Nucl. Med. 45 Suppl 1(), 2004
PMID: 14736835
AMIDE: a free software tool for multimodality medical image analysis.
Loening AM, Gambhir SS., Mol Imaging 2(3), 2003
PMID: 14649056
Registration, segmentation, and visualization of multimodal brain images.
Viergever MA, Maintz JB, Niessen WJ, Noordmans HJ, Pluim JP, Stokking R, Vincken KL., Comput Med Imaging Graph 25(2), 2001
PMID: 11137791
Current methods in medical image segmentation.
Pham DL, Xu C, Prince JL., Annu Rev Biomed Eng 2(), 2000
PMID: 11701515
Automatic segmentation of thalamus from brain MRI integrating fuzzy clustering and dynamic contours.
Amini L, Soltanian-Zadeh H, Lucas C, Gity M., IEEE Trans Biomed Eng 51(5), 2004
PMID: 15132506
Normalized cuts in 3-D for spinal MRI segmentation.
Carballido-Gamio J, Belongie SJ, Majumdar S., IEEE Trans Med Imaging 23(1), 2004
PMID: 14719685
Biomedical image processing in pathology: a review
Nazeran, Aust. Phys. Eng. Sci. Med. 18(), 1995
Image analysis of tissue sections.
Ong SH, Jin XC, Jayasooriah , Sinniah R., Comput. Biol. Med. 26(3), 1996
PMID: 8725778
Generalizing the Hough transform to detect arbitrary shapes
Ballard, Pattern Recgon. 13(), 1981
Fast contour identification through efficient Hough transform and simplified interpretation strategy
Gerig, Proc. ICPR 8(), 1986
A circle-detection algorithm simulating wave propagation
Hanahara, Mach. Vis. Appl. 3(), 1990
Robust automatic coregistration, segmentation, and classification of cell nuclei in multimodal cytopathological microscopic images.
Wurflinger T, Stockhausen J, Meyer-Ebrecht D, Bocking A., Comput Med Imaging Graph 28(1-2), 2004
PMID: 15127753
An image analysis-based approach for automated counting of cancer cell nuclei in tissue sections.
Loukas CG, Wilson GD, Vojnovic B, Linney A., Cytometry A 55(1), 2003
PMID: 12938186
Robust and efficient detection of salient convex groups
Jacobs, IEEE Trans. Pattern Anal Mach Intell 18(1), 1996
Model-based segmentation of nuclei
Cong, Pattern Recgon. 33(8), 2000
A neural network architecture for automatic segmentation of fluorescence micrographs
Nattkemper, Neurocomputing 48(4), 2002
Morphological segmentation
Meyer, J Vis. Commun. Image Represent. 1(1), 1990
Binary image segmentation using weighted skeletons
Talbot, SPIE Image Alg. Morph. Image Proc. 1769(), 1992

Sonka, 1995
Multiparameter image cytometry: from confocal micrographs to subcellular uorograms
Demandolx, Bioimaging 4(), 1997
Applying watershed algorithms to the segmentation of clustered nuclei.
Malpica N, de Solorzano CO, Vaquero JJ, Santos A, Vallcorba I, Garcia-Sagredo JM, del Pozo F., Cytometry 28(4), 1997
PMID: 9266748

AUTHOR UNKNOWN, 0
Automated recognition and mapping of immunolabelled neurons in the developing brain.
Hibbard LS, McCasland JS, Brunstrom JE, Pearlman AL., J Microsc 183(Pt 3), 1996
PMID: 8858860
Computer-aided detection of breast cancer nuclei
Schnorrenberg, IEEE Trans. ITB 1(), 1997
Artificial neural network-aided image analysis system for cell counting.
Sjostrom PJ, Frydel BR, Wahlberg LU., Cytometry 36(1), 1999
PMID: 10331623

AUTHOR UNKNOWN, 0
A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections
Nattkemper, IEEE Trans. ITB 5(2), 2001
Automatic identification of subcellular phenotypes on human cell arrays.
Conrad C, Erfle H, Warnat P, Daigle N, Lorch T, Ellenberg J, Pepperkok R, Eils R., Genome Res. 14(6), 2004
PMID: 15173118
Image analysis detects lineage-specific morphologic markers in leukemic blast cells.
Baumann I, Nenninger R, Harms H, Zwierzina H, Wilms K, Feller AC, Ter Meulen V, Muller-Hermelink HK., Am. J. Clin. Pathol. 105(1), 1996
PMID: 8561083
Medical image databases: a content-based retrieval approach.
Tagare HD, Jaffe CC, Duncan J., J Am Med Inform Assoc 4(3), 1997
PMID: 9147338
Methods for cell proliferation analysis by fluorescent image cytometry.
Souchier C, Ffrench M, Benchaib M, Catallo R, Bryon PA., Cytometry 20(3), 1995
PMID: 7587705
Image-guided decision support system for pathology
Comaniciu, Mach Vision Appl. 11(), 1999
Interaction in the segmentation of medical images: a survey.
Olabarriaga SD, Smeulders AW., Med Image Anal 5(2), 2001
PMID: 11516707
Multimodality cardiovascular image segmentation using a deformable contour model.
Sebbahi A, Herment A, de Cesare A, Mousseaux ., Comput Med Imaging Graph 21(2), 1997
PMID: 9152573
Segmentation of multivariate medical images via unsupervised clustering with "adaptive resolution".
Schenone A, Firenze F, Acquarone F, Gambaro M, Masulli F, Andreucci L., Comput Med Imaging Graph 20(3), 1996
PMID: 8930464
Clustered components analysis for functional MRI.
Chen S, Bouman CA, Lowe MJ., IEEE Trans Med Imaging 23(1), 2004
PMID: 14719690
Probabilistic multiscale image segmentation
Vincken, IEEE Pattern. Anal. Mach. Intell. 19(2), 1997
Coupling of radial-basis network and active contour model for multispectral brain MRI segmentation.
Valdes-Cristerna R, Medina-Banuelos V, Yanez-Suarez O., IEEE Trans Biomed Eng 51(3), 2004
PMID: 15000377
Perspective in systems biology
Kitano, New Generat Comput. 18(), 2000
Magnetic resonance imaging screening in women at genetic risk of breast cancer: imaging and analysis protocol for the UK multicentre study. UK MRI Breast Screening Study Advisory Group.
Brown J, Buckley D, Coulthard A, Dixon AK, Dixon JM, Easton DF, Eeles RA, Evans DG, Gilbert FG, Graves M, Hayes C, Jenkins JP, Jones AP, Keevil SF, Leach MO, Liney GP, Moss SM, Padhani AR, Parker GJ, Pointon LJ, Ponder BA, Redpath TW, Sloane JP, Turnbull LW, Walker LG, Warren RM., Magn Reson Imaging 18(7), 2000
PMID: 11027869

Spence, 2000

Tufte, 1990
Color sequences for univariate maps: theory, experiments, and principles
Ware, IEEE Comput. Graph. Appl. 8(5), 1988
The design and evaluation of color scales for image data
Levkowitz, IEEE Comput. Graph. Appl. 12(1), 1992

AUTHOR UNKNOWN, 0

Ware, 2004
Procedural shape generation for multi-dimensional data visualization
Ebert, 1999
Glyphmaker: creating customized visualizations of complex data
Ribarsky, IEEE Comput. 27(7), 1994

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Cartograms for visualizing human geography
Dorling, 1994

AUTHOR UNKNOWN, 1994
Tactical audio and acoustic rendering in biomedical applications.
Jovanov E, Wegner K, Radivojevic V, Starcevic D, Quinn MS, Karron DB., IEEE Trans Inf Technol Biomed 3(2), 1999
PMID: 10719492

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Dynamic representation of multivariate time series data
Mezrich, J. Am Stat Assoc 79(385), 1984
Computer–human interface issues in the design of an intelligent workstation for scientific visualization
Williams, SIGCHI Bull 21(4), 1990
Quantitation of prostate-specific acid phosphatase in prostate cancer: reproducibility and correlation with subjective grade.
Zhou R, Hammond EH, Sause WT, Rubin P, Emami B, Pilepich MV, Asbell SD, Parker DL., Mod. Pathol. 7(4), 1994
PMID: 7520585
An introduction to variable and feature selection
Guyon, JMLR: Special Issue on Variable and Feature Selection 3(), 2003

Vapnik, 1995
Extracting tree-structured representations of trained networks
Craven, 1996
Discriminative direction for kernel classifiers
Golland, 2002
Computer-assisted analysis of epiluminescence microscopy images of pigmented skin lesions.
Debeir O, Decaestecker C, Pasteels JL, Salmon I, Kiss R, Van Ham P., Cytometry 37(4), 1999
PMID: 10547610
Leucocyte activation markers in clinical practice.
Viedma Contreras JA., Clin. Chem. Lab. Med. 37(6), 1999
PMID: 10475068
Human vs machine: evaluation of fluorescence micrographs.
Nattkemper TW, Twellmann T, Ritter H, Schubert W., Comput. Biol. Med. 33(1), 2003
PMID: 12485628

AUTHOR UNKNOWN, 0
Perceptualization of biomedical data. An experimental environment for visualization and sonification of brain electrical activity.
Jovanov E, Starcevic D, Radivojevic V, Samardzic A, Simeunovic V., IEEE Eng Med Biol Mag 18(1), 1999
PMID: 9934600

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 15488751
PubMed | Europe PMC

Suchen in

Google Scholar