Dissertation > Excellent graduate degree dissertation topics show
3D Volume Enhanced Scanning Techniques of Magnetic Resonance Imaging Used in Intracranial Tumor
Author: MaFeng
Tutor: ZhangZhiYuan
School: Ningxia Medical University
Course: Medical Imaging and Nuclear Medicine
Keywords: intracranial tumor three-dimensional volume enhancement scanning supply arteries venous of drainage Signal to noise ratio contrast to noise ratio
CLC: R445.2
Type: Master's thesis
Year: 2013
Downloads: 0
Quote: 0
Read: Download Dissertation
Abstract
|
Objective To compare the advantages and limitations of MRI ordinary enhancementscanning and three-dimensional volume enhancement scanning in intracranial tumor lesions.Methods183patients underwent the cerebral contrast enhanced MRI examinationduring mouth1of2013to mouth5of2011.93of them were performed ordinaryenhancement inspection, the other93were underwent3D rapid spoiled gradient echosequence. To compare the volume of the tumor obtained from two scanning methods by meanof significance test. To compare the two kinds of scanning outline of the tumor, tumor edge,tumor inner signal and tumor blood supply by chi-square test. Using Wilcoxom rank andinspection to compare signal-to-noise ratio (SNR), contrast to noise ratio (CNR) of twoscanning image. Analysis11cases of metastatic tumor descriptively.Results The volume of the tumor and the outline of the tumor obtained from twoscanning methods is not statistically significant (P>0.05). Outline of the tumor, tumor edge,tumor inner signal and tumor blood supply is statistically significant (P <0.05).Signal-to-noise ratio (SNR), contrast to noise ratio (CNR) of two scanning image isstatistically significant (P <0.05). In11cases of metastatic tumors, the minimum ones foundin3D-Fast SPGR group was about3mm, but in Common scanning group it was5mm.Conclusion3D-Fast SPGR enhanced scan not only show parenchyma organ clearly,but also take3D vascular imaging into account. Show the supply arteries and venous ofdrainage tumor, provides more detailed information for clinical.
|
Related Dissertations
- Significance of Intraoperative Indocyanine Green Fluorescence Videoagiography during Neurosurgical Procedure,R651.12
- A Study on Mr Perfusion with USPIO and Dynamic Monitoring in Rat C6 Brain Glioma,R739.41
- The Comparative Study and Clinical Application of MR 3D Sequences Imaging on Articular Cartilage of Knee Joints,R445.2
- The Application of Navigation System in Intracranial Tumor Resection,R739.4
- The Application of Blood Oxygen Level Dependent Imaging and Diffusion Tensor Imaging in Intracranial Tumors,R739.4
- Related to the normal menstrual cycle, uterine different b-value DWI and ADC values ??of signal strength,R445.2
- Preoperative local staging : TLC MR imaging joint MR DWI AND Pathology,R735.37
- A New Method of Noninvasive Brain-edema Monitoring in Patients with Intracranial Tumor: Cerebral Electrical Impedance Measurement,R739.4
- An Elementary Study of the Technology of Seismic Exploration of Coalfield in Mountain Area,P631.4
- Study on Denoise of Ultrasonic Testing Signal Based on Wavelet Analysis,TN911.4
- The Research on Test Technology of RFID Signal Modulation at Low SNR,TP391.44
- Fourier telephoto surgery target reconstruction,TP391.41
- Research on Seismic Field Data Acquisition Method in Loess Tableland Kekeya Adjacent Areas,P631.4
- Packet Loss Recovering Technology for Speech Transmission over Network,TN912.3
- Study of 3D Seismic Data Acquisition in Huanxiling Area of Liaohe Basin,P631.4
- Improvement of DOFS Performance with Simplexs Coding,TP212.14
- Color Image Edge Detection Based on Mathematical Morphology,TP391.41
- Research of Carrier Synchronization Technique for Low SNR and High Dynamic in Satellite Communications,TN927.2
- Study on the characteristics of the laser diode radar ranging direct detection,TN958
- The Study on Attenuating Seismic Random Noise with Curvelet Combinatorial Method,P631.44
- Design and Optimization of Encoder and Decoder of Turbo Code Based on 802.16d/e Standards,TN925.93
CLC: > Medicine, health > Clinical > Diagnostics > Diagnostic Imaging > Magnetic resonance imaging
© 2012 www.DissertationTopic.Net Mobile
|