A Review on CT and X-Ray Images Denoising Methods
نویسندگان
چکیده
منابع مشابه
Improved Hybrid Model for Denoising Poisson Corrupted X-ray Images
Medical practitioners are increasingly using digital images during disease diagnosis. Several state-of-the-art medical equipments are producing images of different organs, which are used during various stages of analysis. Examples of such devices include MRI, CT, ultrasound and X-Ray. Out of these, X-Ray is one the oldest and frequently used devices, as they are non-intrusive, painless and econ...
متن کاملIterative reconstruction methods in X-ray CT.
Iterative reconstruction (IR) methods have recently re-emerged in transmission x-ray computed tomography (CT). They were successfully used in the early years of CT, but given up when the amount of measured data increased because of the higher computational demands of IR compared to analytical methods. The availability of large computational capacities in normal workstations and the ongoing effo...
متن کاملA Study on Image Denoising for Lung Ct Scan Images
Medical imaging is the technique and process used to create images of the human body for clinical purposes and diagnosis. Medical imaging is often perceived to designate the set of techniques that noninvasively produce images of the internal aspect of the body. The x-ray computed tomographic (CT) scanner has made it possible to detect the presence of lesions of very low contrast. The noise in t...
متن کاملAttenuation correction of myocardial SPECT images with X-ray CT: effects of registration errors between X-ray CT and SPECT.
PURPOSE Attenuation correction with an X-ray CT image is a new method to correct attenuation on SPECT imaging, but the effect of the registration errors between CT and SPECT images is unclear. In this study, we investigated the effects of the registration errors on myocardial SPECT, analyzing data from a phantom and a human volunteer. METHODS Registerion (fusion) of the X-ray CT and SPECT ima...
متن کاملKnot Detection in X-Ray CT Images of Wood
This paper presents an original problem of knot detection in 3D X-ray Computer Tomography images of wood stems. This image type is very different from classical medical images and presents specific geometric structures. These ones are characteristic of wood stems nature. The contribution of this work is to exploit the original geometric structures in a simple and fast algorithm to automatically...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Informatica
سال: 2019
ISSN: 1854-3871,0350-5596
DOI: 10.31449/inf.v43i2.2179