Quantitative analysis of cerebrospinal fluid pressure gradients in healthy volunteers and patients with normal pressure hydrocephalus
Magnetic resonance imaging (MRI) can depict not only anatomical information, but also physiological factors such as velocity and pressure gradient. Measurement of these physiological factors is necessary to understand the cerebrospinal fluid (CSF) environment. In this study we quantified CSF motion...
Saved in:
Main Authors: | Hayashi, Naokazu, Matsumae, Mitsunori, Yatsushiro, Satoshi, Hirayama, Akihiro, Abdullah, Afnizanfaizal N., Kuroda, Kagayaki |
---|---|
Format: | Article |
Published: |
Japan Neurosurgical Society
2015
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/55154/ http://dx.doi.org/10.2176/nmc.oa.2014-0339 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A multi-stage clustering approach for cerebrospinal fluid image segmentation
by: Abdullah, Afnizanfaizal, et al.
Published: (2020) -
Cerebrospinal fluid image segmentation using spatial fuzzy clustering method with improved evolutionary expectation maximization
by: Abdullah, Afnizanfaizal, et al.
Published: (2013) -
Visualization of pulsatile CSF motion around membrane-like structures with both 4D velocity mapping and time-SLIP technique
by: Hirayama, Akihiro, et al.
Published: (2015) -
Recognition of brain cancer and cerebrospinal fluid due to the usage of different MRI image by utilizing support vector machine
by: Saeed, Soobia, et al.
Published: (2020) -
Combination of brain cancer with hybrid K-NN algorithm using statistical of cerebrospinal fluid (CSF) surgery
by: Saeed, Soobia, et al.
Published: (2021)