Definition of the Neurochemical Patterns of Human Head Injury in 1 H MRS Using Wavelet Analysis
نویسندگان
چکیده
BACKGROUND Closed head injury results in a diverse pattern of anatomical and biochemical changes in the brain, reflected in 1H magnetic resonance spectroscopy (MRS) [1]. The categorization of these changes is often complicated by the presence of underlying macromolecules and lipids, especially in severe cases of non-accidental injury in infants [2]. Continuous wavelet transform methods have been developed which allow time-series information to be described in both frequency and time simultaneously. This allows metabolites to be separated by both chemical shift and T2* characteristics [3]. AIMS (1) Develop a descriptive and intuitive wavelet transform visualization mechanism for 1H MRS free-induction decay (FID) analysis. (2) Test the methods developed by classifying examples of 1H MRS signal acquired from trauma patients. METHODS Patients: 3 trauma patients of varying severity (minor, moderate, and severe) and three controls were examined with 1H MRS and Fourier transform (FT) [4] (GE 1.5T, STEAM, TE=30ms, TR=1.5s). Morlet Wavelet Transform (MWT): MRS FIDs were first frequency shifted up 1 PPM in order to avoid the tremendously large scales (window sizes) needed to examine low frequencies. Then, by standard wavelet formulation [3,5], the FID was convolved with Morlet wavelet basis functions using scales linearly correlated with frequencies [5] in the range 4.3 to 0 PPM before shifting. A large Morlet wavenumber (ω0=64) was employed in order to localize frequency content effectively. The resulting grid, containing FIDs filtered by frequencies, was then converted to colors representing isocontours in a manner that would resemble FT spectra. RESULTS The MWT panels strongly resemble the FT panels, reproducing decreased NAA in the moderate (Fig.1) and severe head injury (Fig.2) cases, as well as the only slightly reduced NAA of the mild head injury case (not shown). Major metabolites are present and identifiable in both the MWT and the FT. In addition, MWT may help clarify or reinforce diagnosis of trauma. In the FT of the severe trauma case (Fig.2d), NAA is broader and taller than Cr. Measurements of severity based on NAA/Cr fail due to uncertainty regarding true [Cr], and quantitative measures fail due to the enlarged peak area at NAA. In the MWT of the severe case (Fig.2e), however, NAA appears reduced compared to Cr, suggesting that the peak observed at NAA is instead either lipids or underlying macromolecules. By contrast, in the moderate trauma patient, NAA visibility in the MWT (Fig.1d) shares the characteristics of the matched contralateral (Fig.1a), reinforcing the diagnosis of reduced, but real, NAA. Notably absent from the MWT of the severe head trauma case, however, are lipids which dominate the FT of Fig.2d. The signal of lipids, due to its extremely short T2 time, rapidly diminishes in time, in contrast to the signals of of NAA, Cr, Cho and mI, which have much longer T2 times. The extremely strong initial amplitude of lipid is indeed visible in color (glowing a bright green), but when converted to black and white is less obvious. It is possible to FT the filtered FIDs displayed in the MWT panel, however, in order to examine the frequency response of the MWT. In the process we can see, from the two large resonances circled in Fig.2f, that lipids are indeed present in a high concentration, even if they are “hidden” in time. DISCUSSION The MWT method presented offers an intuitive bridge between frequency and time information which can clarify interpretation of complex head trauma spectra obtained with FT. The MWT, however, is not intended as a replacement for the FT, but rather a supplement that allows qualitative access to time related changes and takes advantage of the multiple dimensions available in a FID. Certainly the information obtained by the MWT and the FT are not mutually exclusive, nor mutually redundant. CONCLUSIONS (1) MWT is an effective tool in the examination of 1H MR spectra. (2) MWT lends added insight into the neurochemical impact of trauma.
منابع مشابه
Application of Magnetic Resonance Spectroscopy in Neurocognitive Assessment After Head Injury: A Systematic Review
Background: Traumatic brain injury is believed to be a public health disorder with some complications. Post Traumatic Neurocognitive Disorders (PTND) received much attention among these complications because of the high prevalence of mild traumatic brain injuries. On the other hand, advanced neuroimaging is increasingly becoming an exciting modality in the field of traumatic brain injury. Magne...
متن کاملAltered neurochemical profile after traumatic brain injury: 1H-MRS biomarkers of pathological mechanisms
Specific neurochemicals measured with proton magnetic resonance spectroscopy ((1)H-MRS) may serve as biomarkers of pathological mechanism in the brain. We used high field in vivo (1)H-MRS to measure a detailed neurochemical profile after experimental traumatic brain injury (TBI) in rats. We characterized neurochemical changes in the contused cortex and the normal-appearing perilesional hippocam...
متن کاملInjury Patterns among Motorcyclist Trauma Patients: A Cross Sectional Study on 4200 Patients
Background: Motorcyclists are among the most vulnerable groups of road accident victims, who are prone to a growingmortality rate due to the constant rise in the number of accidents. This study was performed to investigate the injurypatterns among motorcyclist trauma patients admitted to Kamyab Hospital, the largest trauma center affiliated withMashhad Univercity of Medical Sc...
متن کاملComparative Analysis of Wavelet-based Feature Extraction for Intramuscular EMG Signal Decomposition
Background: Electromyographic (EMG) signal decomposition is the process by which an EMG signal is decomposed into its constituent motor unit potential trains (MUPTs). A major step in EMG decomposition is feature extraction in which each detected motor unit potential (MUP) is represented by a feature vector. As with any other pattern recognition system, feature extraction has a significant impac...
متن کاملA Machine Learning Approach to No-Reference Objective Video Quality Assessment for High Definition Resources
The video quality assessment must be adapted to the human visual system, which is why researchers have performed subjective viewing experiments in order to obtain the conditions of encoding of video systems to provide the best quality to the user. The objective of this study is to assess the video quality using image features extraction without using reference video. RMSE values and processing ...
متن کامل