Usefulness of fully automated constant ROI analysis software for the brain: 3DSRT and FineSRT

被引:59
作者
Ryo Takeuchi
Tami Sengoku
Kaname Matsumura
机构
[1] Shizuoka PET Imaging Center,Division of PET Diagnosis, Department of Radiology
[2] Higashitemma Clinic,undefined
来源
Radiation Medicine | 2006年 / 24卷 / 7期
关键词
Positron Emission Tomography; Moyamoya Disease; Cereb Blood Flow; Transient Global Amnesia; Anatomical Standardization;
D O I
10.1007/s11604-006-0054-x
中图分类号
学科分类号
摘要
The positioning or selection of a region of interest (ROI) is an essential step for the quantification of brain images. However, so long as the ROIs were manually selected, results obtained fluctuated considerably with subtle changes in their positioning. To perform an ROI analysis of the brain with improved objectivity and excellent reproducibility, we recently established fully automated ROI-based analysis software for the brain, the so-called 3DSRT and the FineSRT. 3DSRT performed by consecutive analyzing process as follows: (1) anatomical standardization using the SPM99 algorithm; (2) analysis using constant 318 ROIs divided into 12 groups (segments) on each hemisphere; (3) calculation of the area-weighted average for each of the respective 24 segments; (4) display of the results followed by the saving of respective values of the 636 ROIs (both hemispheres). The processes of the FineSRT were fundamentally similar to that of 3DSRT, but on FineSRT more precise constant 1394 ROIs (both hemispheres) corresponding to the respective cerebral convolutions were used. Our programs have been useful for objective estimation of cerebrovascular reserve, especially for follow-up studies of an infant with moyamoya disease, because we could compare the results without consideration of the patient's growth during the follow-up period.
引用
收藏
页码:538 / 544
页数:6
相关论文
共 59 条
[1]  
Friston KJ(1991)Comparing functional (PET) images: the assessment of significant change J Cereb Blood Flow Metab 11 690-9
[2]  
Frith CD(1995)Statistical parametric maps in functional imaging: a general linear approach Hum Brain Mapp 2 189-210
[3]  
Liddle PF(1996)A diagnostic approach in Alzheimer's disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET J Nucl Med 36 1238-48
[4]  
Frackowiak RS(2002)Usefulness of a three-dimensional stereotaxic ROI template on anatomically standardised Eur J Nucl Med 29 331-41
[5]  
Friston KJ(2003)Tc-ECD SPET Neurol Med Chir (Tokyo) 43 153-62
[6]  
Holmes AP(2004)Fully automated quantification of regional cerebral blood flow with three-dimensional stereotaxic region of interest template: validation using magnetic resonance imaging: technical note Eur J Nucl Med Mol Imaging 31 578-89
[7]  
Worsely KJ(2000)Cerebral blood flow SPET in transient global amnesia with automated ROI analysis by 3DSRT Hum Brain Mapp 11 223-32
[8]  
Poline JP(1997)Detecting bilateral abnormalities with voxel-based morphometry J Cereb Blood Flow Metab 17 1020-32
[9]  
Frith CD(1998)Noninvasive quantitative measurements of regional cerebral blood flow using technetium-99m-L,L-ECD SPECT activated with acetazolamide: quantification analysis by equal-volume-split J Nucl Med 39 1360-2
[10]  
Frackowiak RS(1992)Tc-ECD consecutive SPECT method Eur J Nucl Med 19 195-200