An Automatic Procedure for Normalization of Cerebral Blood Volume Maps in Dynamic Susceptibility Contrast-Based Glioma Imaging

被引：20

作者：

Emblem, K. E. ^{[1
,2
]}

Bjornerud, A. ^{[1
,3
]}

机构：

[1] Oslo Univ Hosp, Dept Med Phys, Rikshosp, N-0027 Oslo, Norway

[2] Oslo Univ Hosp, Intervent Ctr, Rikshosp, N-0027 Oslo, Norway

[3] Univ Oslo, Dept Phys, Oslo, Norway

来源：

AMERICAN JOURNAL OF NEURORADIOLOGY | 2009年 / 30卷 / 10期

关键词：

HISTOGRAM ANALYSIS; HETEROGENEITY; GRADE;

D O I：

10.3174/ajnr.A1680

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

To characterize gliomas from dynamic susceptibility contrast QSQ-based cerebral blood volume (CBV) maps, a CBV value from a normal-appearing region of interest is typically identified manually and used to normalize the CBV maps. This method is user-dependent and time-consuming. We propose an alternative approach based on automatic identification of normal-appearing first-pass curves from brain tissue. Our results in 101 patients suggest similar or better diagnostic accuracy values than the manual approach.

引用

页码：1929 / 1932

页数：4

共 8 条

[1]

Boxerman JL, 2006, AM J NEURORADIOL, V27, P859

[2] Glioma grading by using histogram analysis of blood volume heterogeneity from MR-derived cerebral blood volume maps [J].