JNM
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH RSS TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

First published online December 12, 2007, 10.2967/jnumed.107.045724
This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
jnumed.107.045724v1
49/1/39    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Related articles in JNM
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kim, S.-J.
Right arrow Articles by Lee, D. S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kim, S.-J.
Right arrow Articles by Lee, D. S.
Journal of Nuclear Medicine Vol. 49 No. 1 39-43
© 2008 by Society of Nuclear Medicine
doi: 10.2967/jnumed.107.045724

Clinical Investigation

Probabilistic Anatomic Mapping of Cerebral Blood Flow Distribution of the Middle Cerebral Artery

Seong-Jang Kim1,2, In-Ju Kim1,2, Yong-Ki Kim1,2, Tae-Hong Lee2,3, Jung Sub Lee2,4, Sungmin Jun1, Hyun-Yeol Nam1, Jae Sung Lee5, Yu Kyeong Kim5 and Dong Soo Lee, PhD5

1 Department of Nuclear Medicine, Pusan National University Hospital, Busan, Republic of Korea; 2 Medical Research Institute, Pusan National University Hospital, Busan, Republic of Korea; 3 Department of Radiology, Pusan National University Hospital, Busan, Republic of Korea; 4 Departement of Orthopaedic Surgery, Pusan National University Hospital, Busan, Republic of Korea; and 5 Department of Nuclear Medicine, Seoul National University, Seoul, Republic of Korea

Correspondence: For correspondence or reprints contact: Yong-Ki Kim, MD, PhD, Department of Nuclear Medicine and Medical Research Institute, Pusan National University Hospital, Busan, 602-739, Republic of Korea. E-mail: yongki{at}pusan.ac.kr

Probabilistic atlases are more representative of the population than single brain atlases. They allow anatomic and functional labeling of the results of group studies in stereotactic space and, hence, the automated anatomic labeling of individual brain imaging data. Methods: In the current study, probabilistic maps of the blood flow distribution of the middle cerebral artery (MCA) were developed using the basal and MCA brain SPECT images. Twenty-nine patients (mean age ± SD, 54.6 ± 6.1 y) who previously received placement of a stent for MCA stenosis (right MCA stenosis, 15 patients; left MCA stenosis, 14 patients) were included in the current study. Of the 29 MCA SPECT images, 18 were analyzed for the final result because 11 MCA SPECT images revealed an uneven uptake distribution of 99mTc-ethylcysteinate dimer in the brain. MCA brain SPECT images were coregistered to basal brain SPECT images, and spatial normalization parameters used for basal brain SPECT images were reapplied to MCA brain SPECT for anatomic standardization. Pixel counts of the MCA brain SPECT images were then normalized, and the probabilistic map of cerebral perfusion distribution (perfusion probabilistic map) for each hemisphere was determined by averaging the spatial- and count-normalized MCA brain SPECT images. Population-based probabilistic maps representing the extent of MCA territory (extent probabilistic map) were also composed by averaging the binary images obtained by thresholding the spatially normalized MCA brain SPECT images. Results: The blood supply from the MCA to the basal ganglia area was largest (probability, 0.6~0.8), followed by the insular cortex (probability, 0.3~0.5), and various cerebral cortical areas (probability, 0.2~0.4). The MCA reached to deep structures of the brain, including the internal capsule, caudate nucleus, putamen, globus pallidus, insular cortex, and thalamus with a high-extent probability. Conclusion: A population-based probabilistic map of MCA flow distribution was generated by using MCA brain SPECT images. This map could be a potential tool for the analysis of major cerebral artery distribution, especially the MCA. Furthermore, the probabilistic MCA atlas could be used to define the object delineation of the MCA territory, to quantify ischemic disease affecting the MCA, to predict prognosis, and to risk stratification of cerebrovascular diseases, especially affecting the MCA.

Key Words: probabilistic map • middle cerebral artery • SPECT • statistical parametric mapping

COPYRIGHT © 2008 by the Society of Nuclear Medicine, Inc.


Related articles in JNM:

This Month in JNM

JNM 2008 49: 11A-12A. [Full Text]  



This article has been cited by other articles:


Home page
 RadiologyHome page
J. Hendrikse, E. T. Petersen, S. M. Chng, N. Venketasubramanian, and X. Golay
Distribution of Cerebral Blood Flow in the Nucleus Caudatus, Nucleus Lentiformis, and Thalamus: A Study of Territorial Arterial Spin-labeling MR Imaging
Radiology, January 20, 2010; (2010) radiol.09090284v1.
[Abstract] [Full Text]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH RSS TABLE OF CONTENTS
JOURNAL OF NUCLEAR MEDICINE TECHNOLOGY THE JOURNAL OF NUCLEAR MEDICINE
Copyright © 2008 by the Society of Nuclear Medicine.