National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Image fusion within prostate biopsy
ŽŮČEK, David
This study deals with the use of image fusion within prostate biopsy, which is a method used for several decades, which serves to accurately capture pathological findings in the prostate, primarily prostate cancer. The combination of imaging modalities, which are magnetic resonance and intracavitary ultrasonography, is used to guide the biopsy. The aim of the study was to study the unusual situation where one and the same radiological team performs both procedures at the same time. Procedures from which the prostate biopsy methodology guided by image fusion is formed. Subsequently, we established a hypothesis that specific benefits can be found when the same doctor and radiology assistant perform both procedures. Procedures which consists of image fusion of magnetic resonance imaging and intracavitary ultrasonography, which guide the prostate biopsy of the same patient. The methodology of the theoretical part was the study of mostly foreign professional medical articles and literature and the subsequent use of the information to clarify the described method. In the practical part, the output data of physical examination of 59 patients were processed with the use of ROC analysis and then compared with two foreign studies to verify the established hypothesis. The data were provided by Mr. MUDr. Zdeněk Chudáček Ph.D. The results of the ROC analysis and its comparison with foreign studies confirmed the hypothesis, and therefore the presence of specific advantages of the studied unusual situation of performing a prostate biopsy in the way determined at the beginning of this study. The results of this study will be used in a broader journal publication, which aims to bring the issue of this study to the professional radiological public.
Methods of extending depth of field
Šťasta, Jakub ; Kolomazník, Jan (advisor) ; Dupej, Ján (referee)
Images taken with macro lenses, microscope lenses or lenses with large focal length suffer from shallow depth of field. It is possible to take several images of the scene and combine them artificially into one sharp image. In this work we review known approaches to exdended depth of field (EDF) and in detail discuss several chosen algorithms, both working in spatial domain and through wavelet transform. We implemented a framework for EDF algorithms in Java as an ImageJ plugin with all the chosen algorithms. Afterwards we compared their performance on both artificial and real datasets. Among the tests were also robustness to Gaussian and impulse noise. We also discuss the most common artifacts and disadvantages of the algorithms. 1

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