Abstract

BACKGROUND
Phase-contrast MRI (PC-MRI) has previously been used for the quantification of CSF and blood flow throughout the body. We propose a new method of semi-automated segmentation for the prepontine cistern based on anatomical and pulsatility information.
METHODS
Scans were conducted on 48 patients (69.83 ± 14.28 years) ranging in age from 32 to 88 years along with an additional 11 controls (51.91 ± 21.13 years) ranging in age from 22 to 72 years. The segmentation algorithm developed consists of four stages: anatomical, flow quantification for the aqueduct and prepontine cistern, and blood vessel detection.
RESULTS
Complete results are presented in Table 1, the 37 preoperative patients and controls had a prepontine cistern stroke volume of 464.32 ± 202.30 and 447.38 ± 75.49 respectively.
CONCLUSION
Reliable quantification of volumetric CSF flow in complex cisternal spaces is possible using a methodology combining known anatomical features with the pulsatile nature of CSF flow.

Links

Aggregator Full Text

Authors

Hamilton R, Dye J, Frew A, Baldwin K, Hu X, Bergsneider M

Institution

Department of Neurosurgery, University of California, Los Angeles, CA 90095, USA.

Source

Acta neurochirurgica. Supplement 114: 2012 pg 191-5

MeSH

Adult
Aged
Aged, 80 and over
Algorithms
Cerebral Aqueduct
Cerebrospinal Fluid
Female
Humans
Hydrocephalus
Magnetic Resonance Imaging
Male
Middle Aged
Pons
Pulsatile Flow
Reference Values
Reproducibility of Results
Stroke Volume
Young Adult

Pub Type(s)

Journal Article

Language

eng

PubMed ID

22327691