Wyniki wyszukiwania - BazTech

1

A Neural Network Model for Object Mask Detection in Medical Images

Tereikovskyi Igor, Korchenko Oleksander, Bushuyev Sergey, Tereikovskyi Oleh, Ziubina Ruslan, Veselska Olga

International Journal of Electronics and Telecommunications

|

2023

|

Vol. 69, No. 1

41--46

EN

In modern conditions in the field of medicine, raster image analysis systems are becoming more widespread, which allow automating the process of establishing a diagnosis based on the results of instrumental monitoring of a patient. One of the most important stages of such an analysis is the detection of the mask of the object to be recognized on the image. It is shown that under the conditions of a multivariate and multifactorial task of analyzing medical images, the most promising are neural network tools for extracting masks. It has also been determined that the known detection tools are highly specialized and not sufficiently adapted to the variability of the conditions of use, which necessitates the construction of an effective neural network model adapted to the definition of a mask on medical images. An approach is proposed to determine the most effective type of neural network model, which provides for expert evaluation of the effectiveness of acceptable types of models and conducting computer experiments to make a final decision. It is shown that to evaluate the effectiveness of a neural network model, it is possible to use the Intersection over Union and Dice Loss metrics. The proposed solutions were verified by isolating the brachial plexus of nerve fibers on grayscale images presented in the public Ultrasound Nerve Segmentation database. The expediency of using neural network models U-Net, YOLOv4 and PSPNet was determined by expert evaluation, and with the help of computer experiments, it was proved that U-Net is the most effective in terms of Intersection over Union and Dice Loss, which provides a detection accuracy of about 0.89. Also, the analysis of the results of the experiments showed the need to improve the mathematical apparatus, which is used to calculate the mask detection indicators.

2

An introduction to watermarking of medical images

Wójtowicz W.

Bio-Algorithms and Med-Systems

|

2013

|

Vol. 9, no. 1

9--16

EN

This paper provides a preliminary investigation on digital watermarking as an effective technology to protect property rights and limit distribution of multimedia data. First, crucial properties and design requirements of watermarking schemes are discussed. Then, as watermarking techniques finds many applications in healthcare industry, aspects of medical image watermarking are raised. Nowadays, the transmission of digitized medical information has become very easy due to the generality of Internet. However, the digital form of these images can easily be manipulated and degraded. This causes problems of medical security and copyright protection and poses a great challenge to privacy protection using watermarking techniques.

3

Obrazy medyczne i ich prawidłowe odtwarzanie

Siwek J.

Inżynier i Fizyk Medyczny

|

2012

|

Vol. 1, nr 2

57--58

4

Zastosowanie przekształceń grafiki trójwymiarowej w obrazowej diagnostyce medycznej

Skurski A., Mazur R., Chłapiński J., Kamiński M., Napieralski A., Kasprzak J., Lipiec R.

Elektronika : konstrukcje, technologie, zastosowania

|

2012

|

Vol. 53, nr 5

37-40

PL

W nowoczesnej diagnostyce obrazowej wymagane jest jednoczesne połączenie informacji na temat różnych aspektów morfologii narządu i jego funkcji. Dane te są zazwyczaj otrzymywane za pomocą różnych (zarówno dwu- jak i trójwymiarowych) obrazów medycznych. W niniejszym artykule zostanie przedstawiony system, który zapewnia wsparcie dla złożenia trójwymiarowych modeli obiektów zainteresowania diagnostyki obrazowej otrzymanych z połączenia różnych badań medycznych. Zaproponowana kompilacja ma na celu zwiększenie przejrzystości prezentacji wyników oraz zwiększenia wartości diagnostycznych wynikowego obrazu analizy. Jako przykład zastosowania koncepcji przytoczone zostanie rozwiązanie łączenia obrazów CT (tomografia komputerowa) i ECHO (echokardiografia).

EN

In modern medicine data combination on various aspects of organ's morphology and function is reguired in diagnostic process and therapeutic decisions making. These data are usually obtained using different (two- and three-dimensional) medical imaging techniques. In this paper we present a system which provides support for creating three dimensional medical models combining results from different medical examinations and thus giving a better insight into situation which is being examined. As a prove of concept we submit a solution of combining CT (Computed Tomography) and ECHO (Echocardiography) bull's-eye display. System is intended for use in clinical environments as a sophisticated and easy to use tool for visualization of complex medical data.

5

Segmentacja i dopasowywanie cyfrowych obrazów medycznych: przetwarzanie nagrań wideo-endoskopowych strun głosowych oraz danych tomograficznych zmian rakowych

Skalski A., Zieliński T.

Pomiary Automatyka Kontrola

|

2008

|

R. 54, nr 6

330-333

PL

Celem artykułu jest wprowadzenie do zagadnienia segmentacji i dopasowywania cyfrowych obrazów medycznych 2D i 3D, np. z endoskopii i tomografii komputerowej, oraz krótki przegląd stosowanych metod. Na tym tle zaprezentowano nowe, oryginalne wyniki prac własnych autorów, dotyczących analizy cyfrowych nagrań wideo strun głosowych. Badania te mają na celu estymację parametrów ruchu tych strun dla ludzi zdrowych oraz chorych, np. ze zmianami nowotworowymi. W tym ostatnim przypadku wskazana jest analiza danych wideo przed i po terapii laserowej. W artykule porównano poprzednie wyniki autorów uzyskane dla metody segmentacji metodą poziomic (level sets) z metodą rozrostu obszarów (region growing). W końcowej części pracy zaprezentowano przykład zastosowania dopasowywania danych tomograficznych pacjenta podczas radioterapii zmian nowotworowych.

EN

In the paper introduction to segmentation and registration of medical 2D/3D data, coming from medical endoscopy and computed tomography, is done and a brief description of the most popular methods is presented. On this background, as an example, new original results of vocal folds video analysis are given. In this case evaluation of vocal folds motion parameters for people in good health and sick persons with cancer changes is addressed, especially before and after the laser treatment. In the paper previous segmentation results obtained for level sets methods are compared with application of a region growing approach. Finally, application of registration to computed tomography data before cancer radiotherapy is shown in the paper.

6

The half-byte descriptor for image data units

Czapla Z.

Journal of Medical Informatics & Technologies

|

2007

|

Vol. 11

115--121

EN

The paper presents proposal for image data unit description using a half-byte format. It was implemented for medical images description. The introduced definitions express pixel values using differences between pixels and the introduced base value. This way the image recorded at half-byte format can be simply compressed by an appropriate compression, methods more effectively. The half-byte format is suitable for so called "natural" images with textures that are usually compressed with not satisfying results. For the given method illustration some example results were introduced.

7

Least squares support vector machine based classification of abnormalities in brain MR images

Selvi S., Selvathi D., Ramkumar R., Selvaraj H.

Systems Science

|

2006

|

Vol. 32, no 1

89-103

EN

The manual interpretation of MRI slices based on visual examination by radiologist/physician may lead to missing diagnosis when a large number of MRJs arc analyzed. To avoid the human error, an automated intelligent classification system is proposed. This research paper proposes an intelligent classification technique to the problem of classifying four types of brain abnormalities viz. Metastases, Meningiomas, Gliomas, and Astrocytomas. The abnormalities are classified based on Two/Three/ Four class classification using statistical and texlural features. In this work, classification techniques based on Least Squares Support Vector Machine (LS-SVM) using textural features computed from the MR images of patient are developed. LS-SVM classifier using non-linear radial basis function (RBF) kernels is compared with other techniques such as SVM classifier and K-Ncarest Neighbor (K-NN) classifier. It has been observed that the method proposed using LS-SVM classifier outperforms all the other classifiers tested.

8

The JPEG2000 standard for medical image applications

Przelaskowski A.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

|

2004

|

Vol. 8, No 2

147-158

EN

A new standard of still image compression is characterised in the context of medical applications. Wide spectrum of JPEG2000 features is analysed with respect to its application potential to improve the performance of modern medical services (i.e. telemedicine, PACS, radiology information systems, wireless personal/home health care systems). Image data security techniques, error resilience technologies, client-side interactive Region of Interest (ROI) transmission and decoding (e.g. for teleconsultation with very large radiography exams), and storage of multiple image data sets are considered in detail. Selected tests of coders realized according to parts I and II of JPEG2000 for different modality test images are presented to evaluate the compression efficacy of this standard. Exemplary results of encoding process optimisation by wavelet transform and subband decomposition selection and screen-shots of software interfaces designed for these tests are also presented.

9

The universal quality index for medical images

Lisowska A., Kotarski W.

Journal of Medical Informatics & Technologies

|

2002

|

Vol. 3

MI199--206

EN

The aim of this paper is to propose a new quality index which measures the distance between a reference (source) image and its corrupted copy in the way as Human Visual System (HVS) does. The new quality index called the Mean Weighted Quality Index (MW) is defined with the help of the well known easy calculated indexes. The experiments performed on a number of medical images confirmed usefulness of the new index.

10

A transputer implementation of systolic arrays design for low-level medical image processing

Amin S., Saeed M.

Image Processing & Communications

|

2000

|

Vol. 6, no 3-4

35-45

EN

Many low-level image processing operations, termed local operators, require access to the four or eight neighbouring intensity values of a pixel, when computing the new value for the pixel and need large amounts of computing i.e., banded matrix operations. However, these algorithms contain explicit parallelism which can be efficiently exploited by processor arrays. The purpose of this paper is to identify a set of systolic array designs suitable for implementing low level image processing algorithms for medical images of tissues on VLSI processing arrays, in particular we consider the sigma, inverse gradient and mean filters. To achieve high performance we have developed several models of systolic arrays. One of the aims of this is to design and build a programming workbench for developing image processing operations for low-level vision. The motivation for the work is to develop a methodology for the implementation of an image processing library on the Transputer network, which holds a library of precoded software components in a generalised configuration-independent style for medical images. The digital image processing filter library is discussed in thispaper.