Top

Journal of Imaging Informatics in Medicine

Published in:

01-09-2005

Functional Cluster Analysis of CT Perfusion Maps: A New Tool for Diagnosis of Acute Stroke?

Authors: Christian Baumgartner, Ph.D., Kurt Gautsch, M.D., Christian Böhm, Ph.D., Stephan Felber, M.D.

Published in: Journal of Imaging Informatics in Medicine | Issue 3/2005

Abstract

CT perfusion imaging constitutes an important contribution to the early diagnosis of acute stroke. Cerebral blood flow (CBF), cerebral blood volume (CBV) and time-to-peak (TTP) maps are used to estimate the severity of cerebral damage after acute ischemia. We introduce functional cluster analysis as a new tool to evaluate CT perfusion in order to identify normal brain, ischemic tissue and large vessels. CBF, CBV and TTP maps represent the basis for cluster analysis applying a partitioning (k-means) and density-based (density-based spatial clustering of applications with noise, DBSCAN) paradigm. In patients with transient ischemic attack and stroke, cluster analysis identified brain areas with distinct hemodynamic properties (gray and white matter) and segmented territorial ischemia. CBF, CBV and TTP values of each detected cluster were displayed. Our preliminary results indicate that functional cluster analysis of CT perfusion maps may become a helpful tool for the interpretation of perfusion maps and provide a rapid means for the segmentation of ischemic tissue.

Miles, KA 2003Acute cerebral stroke imaging and brain perfusion with the use of high-concentration contrast mediaEur Radiol13117120

Bohner, G, Forschler, A, Hamm, B, Lehmann, R, Klingebiel, R 2003Quantitative perfusion imaging by multi-slice CT in stroke patientsRofo, Fortschr Geb Rontgenstrahlen Neuen Bildgeb Verfahr175806813

Wintermark, M, Reichhart, M, Thiran, JP, Maeder, P, Chalaron, M, Schnyder, P, Bogousslavsky, J, Meuli, R 2002Prognostic accuracy of cerebral blood flow measurement by perfusion computed tomography, at the time of emergency room admission, in acute stroke patientsAnn Neurol51417432CrossRefPubMed

Keith, CJ, Griffiths, M, Petersen, B, Anderson, RJ, Miles, KA 2002Computed tomography perfusion imaging in acute strokeAustralas Radiol46221230CrossRefPubMed

Wintermark, M, Maeder, P, Thiran, JP, Schnyder, P, Meuli, R 2001Quantitative assessment of regional cerebral blood flows by perfusion CT studies at low injection rates: a critical review of the underlying theoretical modelsEur Radiol1112201230CrossRefPubMed

Konig, M, Banach-Planchamp, R, Kraus, M, Klotz, E, Falk, A, Gehlen, W, Heuser, L 2000CT perfusion imaging in acute ischemic cerebral infarct: comparison of cerebral perfusion maps and conventional CT findingsRofo, Fortschr Geb Rontgenstrahlen Neuen Bildgeb Verfahr172219226

Kaufman, L, Rousseeuw, PJ 1990Finding Groups in Data: An Introduction to Cluster AnalysisJohn Wiley & SonsNew York

Everitt, BS, Landau, S, Leese, M 2001Cluster Analysis4Oxford University PressNew York

Konig, M, Klotz, E, Heuser, L 2000Cerebral perfusion CT: theoretical aspects, methodical implementation and clinical experience in the diagnosis of ischemic cerebral infarctionRofo, Fortschr Geb Rontgenstrahlen Neuen Bildgeb Verfahr172210218

10.

Cenic, A, Nabavi, DG, Craen, RA, Gelb, AW, Lee, TY 1999Dynamic CT measurement of cerebral blood flow: a validation studyAm J Neuroradiol206373PubMed

11.

Nabavi, DG, Cenic, A, Craen, RA, Gelb, AW, Bennett, JD, Kozak, R, Lee, TY 1999CT assessment of cerebral perfusion: experimental validation and initial clinical experienceRadiology213141149PubMed

12.

Nabavi, DG, Cenic, A, Dool, J, Smith, RM, Espinosa, F, Craen, RA, Gelb, AW, Lee, TY 1999Quantitative assessment of cerebral hemodynamics using CT: stability, accuracy, and precision studies in dogsJ Comput Assist Tomogr23506515CrossRefPubMed

13.

Meier, P, Zierler, KL 1954On the theory of the indicator-dilution method for measurement of blood flow and volumeJ Appl Physiol12731744

14.

Zierler, KL 1965Equations for measuring blood flow by external monitoring of radioisotopesCirculation16309321

15.

Theiler, J, Gisler, G 1997A contiguity-enhanced k-means clustering algorithm for unsupervised multispectral image segmentationProc SPIE3159108118CrossRef

16.

Ester, M, Kriegel, HP, Sander, J, Xu, X 1996A density based algorithm for discovering clusters in large spatial databases with noiseProceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD’96)AAAI PressMenlo Park, CA226231

17.

Wintermark, M, Thiran, JP, Maeder, P, Schnyder, P, Meuli, R 2001Simultaneous measurement of regional cerebral blood flow by perfusion CT and stable xenon CT: a validation studyAm J Neuroradiol22905914PubMed

Title: Functional Cluster Analysis of CT Perfusion Maps: A New Tool for Diagnosis of Acute Stroke?
Authors: Christian Baumgartner, Ph.D.
Kurt Gautsch, M.D.
Christian Böhm, Ph.D.
Stephan Felber, M.D.
Publication date: 01-09-2005
Publisher: Springer-Verlag
Published in: Journal of Imaging Informatics in Medicine / Issue 3/2005
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-004-1048-9

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Functional Cluster Analysis of CT Perfusion Maps: A New Tool for Diagnosis of Acute Stroke?

Abstract

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

Please log in to get access to this content

Other articles of this Issue 3/2005

Establishing a Web-Based DICOM Teaching File Authoring Tool Using Open-Source Public Software

Solution for Nonuniformities and Spatial Noise in Medical LCD Displays by Using Pixel-Based Correction

Automatic Estimation of Orientation and Position of Spine in Digitized X-rays using Mathematical Morphology

Effect of Breast Density on Computer Aided Detection

Incorporating Out-Patient Data From CD-R Into the Local PACS Using DICOM Worklist Features

Conceptual Approach for the Design of Radiology Reporting Interfaces: The Talking Template