MR Image Encoding

ثبت نشده
چکیده

Much of the success and flexibility of MRI is derived by its peculiar methodology; a set of techniques which has proved to be very flexible and informative for probing the properties of complex materials (such as the brain). MR imaging is fundamentally different from other types of imaging. Conventionally, when physicists refer to “imaging” they refer to a scattering experiment. Since our eyes “see” a rock by forming a 2 dimensional array of light intensity amplitudes being scattered off the rock, the instrumental equivalent of this has come to be synonymous with imaging. In the canonical scattering experiment, “rays” are aimed at an object and then detected as they either scatter off of the object or penetrate through it. The rays can be deflected, lose or gain energy, deflect and then interfere with one another or even be converted from one type of ray to another. The “rays” in question are usually electromagnetic radiation (radio waves, microwaves infra red light, visible light, ultraviolet light, x-rays, or gamma rays) but can, of course, be almost anything including sound waves, water waves, or matter waves (particles). The particles used could be electrons (as in electron microscopy), or any of the zillions of other subatomic particles, or clumps of particles such as nuclei, atoms, molecules, or pieces of dirt. A fundamental limitation of scattering experiments is that the resolution of the image cannot exceed the wavelength of the wave (electromagnetic or matter wave) used to probe the object. This is fundamentally derived from the uncertainty principle but has long been understood in classical optics. Physicists are fond of making such general statements, but, while true for scattering experiments, this imaging “law” does not hold for MRI. In MR, we use radio waves with a wavelength of several meters to image at a sub-millimeter resolution. Thus we exceed this “fundamental” imaging law by several orders of magnitude. How? The short answer is that we don’t determine the distribution of the body’s protons by bouncing stuff off of them; we determine it by asking them to report to us where they are. We query the body’s spins using a burst of radio waves (the excitation RF), and they report back some milliseconds later with a faint radio signal of their own. They declare their location and other even more valuable information encoded in the frequency and phase of the burst of RF energy they emit in response (the MR signal or echo).

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Improving security of double random phase encoding with chaos theory using fractal images

This study presents a new method based on the combination of cryptography and information hiding methods. Firstly, the image is encoded by the Double Random Phase Encoding (DRPE) technique. The real and imaginary parts of the encoded image are subsequently embedded into an enlarged normalized host image. DRPE demands two random phase mask keys to decode the decrypted image at the destination. T...

متن کامل

Non-uniformity of Clinical Head, Head and Neck, and Body Coils in Magnetic Resonance Imaging (MRI)

Introduction Signal intensity uniformity in a magnetic resonance (MR) image indicates how well the MR imaging (MRI) system represents an object. One of the major sources of image non-uniformity in high-field MRI scanners is inhomogeneity of radio-frequency coil. The aim of this study was to investigate non-uniformity in head, head and neck, and body coils and compare the obtained results to det...

متن کامل

An Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network

Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), but only if the obtained segmentation results are correct. Due to image arti...

متن کامل

Signal-to-noise ratio comparison of encoding methods for hyperpolarized noble gas MRI.

Some non-Fourier encoding methods such as wavelet and direct encoding use spatially localized bases. The spatial localization feature of these methods enables optimized encoding for improved spatial and temporal resolution during dynamically adaptive MR imaging. These spatially localized bases, however, have inherently reduced image signal-to-noise ratio compared with Fourier or Hadamad encodin...

متن کامل

B1-Gradient Based MRI Using a Multi-Element Transmit System

Introduction: Spatial signal encoding in MRI is usually performed via B0-gradients. An alternative method is the use of B1-gradients (so-called RF encoding), already suggested in the early days of MR (see, e.g., [1-3]). RF encoding offers the possibility to omit all B0-gradients, which would allow for MR scanning more or less free of acoustic noise. This advantage might be counterbalanced by lo...

متن کامل

A Novel Multiply-Accumulator Unit Bus Encoding Architecture for Image Processing Applications

In the CMOS circuit power dissipation is a major concern for VLSI functional units. With shrinking feature size, increased frequency and power dissipation on the data bus have become the most important factor compared to other parts of the functional units. One of the most important functional units in any processor is the Multiply-Accumulator unit (MAC). The current work focuses on the develop...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006