Original Article

Journal of Cerebral Blood Flow & Metabolism (2004) 24, 887–897; doi:10.1097/01.WCB.0000124321.60992.87

Dynamic Tracking of Acute Ischemic Tissue Fates Using Improved Unsupervised ISODATA Analysis of High-Resolution Quantitative Perfusion and Diffusion Data

Supported in part by a Scientist Development Grant from the American Heart Association and a grant from the National Institute of Health (NINDS, R01-NS045879)TQD.

Qiang Shen*,1, Hongxia Ren*,1, Marc Fisherparallel, James Bouleyparallel and Timothy Q Duong*,,§,parallel

  1. *Center for Comparative NeuroImaging, Department of Psychiatry, University of Massachusetts Medical Center, Worcester, Massachusetts, U.S.A.
  2. Programs in Neuroscience, University of Massachusetts Medical Center, Worcester, Massachusetts, U.S.A.
  3. §Biomedical Engineering & Medical Physics, University of Massachusetts Medical Center, Worcester, Massachusetts, U.S.A.
  4. parallelDepartment of Neurology, University of Massachusetts Medical Center, Worcester, Massachusetts, U.S.A.

Correspondence: Timothy Q Duong, Center for Comparative NeuroImaging, Department of Psychiatry, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, U.S.A.; e-mail: timothy.duong@umassmed.edu

1Q.S. and H.R. contributed equally to this work.

Received 19 January 2004; Revised 2 February 2004; Accepted 3 February 2004.

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Abstract

High-resolution (200 times 200 times 1,500 mum3) imaging was performed to derive quantitative cerebral blood flow (CBF) and apparent diffusion coefficient (ADC) maps in stroke rats (permanent occlusion) every 30 minutes up to 3 hours after occlusion onset, followed by histology at 24 hours. An improved automated iterative-self-organizing-data-analysis-algorithm (ISODATA) was developed to dynamically track ischemic tissue fate on a pixel-by-pixel basis during the acute phase. ISODATA-resolved clusters were overlaid on the CBF-ADC scatterplots and image spaces. Tissue volume ADC, and CBF of each ISODATA cluster were derived. In contrast to the single-cluster normal left hemisphere (ADC = 0.74 plusminus 0.02 times 10-3 mm2/s, CBF = 1.36 plusminus 0.22 mL g-1min-1, mean plusminus SD, n = 8), the right ischemic hemisphere exhibited three ISODATA clusters, namely: "normal" (normal ADC and CBF), "ischemic core" (low CBF and ADC), and at-risk "perfusion-diffusion mismatch" (low CBF but normal ADC). At 180 minutes, the mismatch disappeared in five rats (Group I, 180-minute "core" lesion volume = 255 plusminus 62 mm3 and 24-hour infarct volume = 253 plusminus 55 mm3, P > 0.05), while a substantial mismatch persisted in three rats (Group II, 180-minute CBF-abnormal volume = 198 plusminus 7 mm3 and 24-hour infarct volume 148 plusminus 18 mm3, P < 0.05). The CBF (0.3 plusminus 0.09 mL g-1min-1) of the "persistent mismatch" (Group II, 0.3 plusminus 0.09 mL g -1 min-1) was above the CBF viability threshold (0.2 to 0.3 mL g-1min-1) throughout and its ADC (0.70 plusminus 0.03 times 10-3 mm2/s) did not decrease as ischemia progressed. In contrast, the CBF (0.08 plusminus 0.03 mL g-1min-1) of the analogous brain region in Group I was below the CBF viability threshold, and its ADC gradually decreased from 0.63 plusminus 0.05 to 0.43 plusminus 0.03 times 10-3 mm2/s (ADC viability threshold = 0.53 plusminus 0.02 times10-3 mm2/s). The modified ISODATA analysis of the ADC and CBF tissue characteristics during the acute phase could provide a useful and unbiased means to characterize and predict tissue fates in ischemic brain injury and to monitor therapeutic intervention.

Keywords:

Viability thresholds, Penumbra, Perfusion-diffusion mismatch, Diffusion-weighted imaging, Perfusion-weighted imaging, Multispectral analysis

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