scholarly journals Automated Mosaicking of Medical x-ray Images using SIFT Algorithm

2021 ◽  
Vol 23 (05) ◽  
pp. 686-693
Author(s):  
Sanjeevakumar Harihar ◽  
◽  
Dr. Manjunath R ◽  

Image registration is a process of joining any number of images that have similar overlapping regions of the same scene in order to make a panoramic image. In the field of medical, multimedia, and image processing applications image registration process stands challenging. The work presented here on medical images can be applicable for long limb operations and scoliosis operations. Traditional x-ray machines produce a single frame of x-ray image containing a portion of the body part, but they can not generate a large view of body x-ray image in a single frame. This problem can be solved by creating panoramic images by combining multiple images. The work proposed in this paper can automatically produce panoramic x-ray images by stitching multiple x-ray images. The proposed work uses scale-invariant feature transform (SIFT) for mosaicking x-ray images as a local feature point extractor which uses the difference of Gaussian (DOG) and invariant to orientation and scale. Based on the location relationship of x-ray images, random sample consensus (RANSAC) is incorporated to remove the effect of mismatched point pairs in x-ray images and to generate the panoramic view. The performance of the system is computed by using structural and time constraint parameters and is compared with different feature detection techniques. The experimental results show that combing SIFT and RANSAC yields less processing time with an increase in similarity measures.

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Rui Zhang ◽  
Wu Zhou ◽  
Yanjie Li ◽  
Shaode Yu ◽  
Yaoqin Xie

Nonrigid image registration is a prerequisite for various medical image process and analysis applications. Much effort has been devoted to thoracic image registration due to breathing motion. Recently, scale-invariant feature transform (SIFT) has been used in medical image registration and obtained promising results. However, SIFT is apt to detect blob features. Blobs key points are generally detected in smooth areas which may contain few diagnostic points. In general, diagnostic points used in medical image are often vessel crossing points, vascular endpoints, and tissue boundary points, which provide abundant information about vessels and can reflect the motion of lungs accurately. These points generally have high gradients as opposed to blob key points and can be detected by Harris. In this work, we proposed a hybrid feature detection method which can detect tissue features of lungs effectively based on Harris and SIFT. In addition, a novel method which can remove mismatched landmarks is also proposed. A series of thoracic CT images are tested by using the proposed algorithm, and the quantitative and qualitative evaluations show that our method is statistically significantly better than conventional SIFT method especially in the case of large deformation of lungs during respiration.


2021 ◽  
Vol 11 (13) ◽  
pp. 5986
Author(s):  
Yinsen Zhao ◽  
Farong Gao ◽  
Jun Yu ◽  
Xing Yu ◽  
Zhangyi Yang

In order to obtain panoramic images in a low contrast underwater environment, an underwater panoramic image mosaic algorithm based on image enhancement and improved image registration (IIR) was proposed. Firstly, mixed filtering and sigma filtering are used to enhance the contrast of the original image and de-noise the image. Secondly, scale-invariant feature transform (SIFT) is used to detect image feature points. Then, the proposed IIR algorithm is applied to image registration to improve the matching accuracy and reduce the matching time. Finally, the weighted smoothing method is used for image fusion to avoid image seams. The results show that IIR algorithm can effectively improve the registration accuracy, shorten the registration time, and improve the image fusion effect. In the field of cruise research, instruments equipped with imaging systems, such as television capture and deep-drag camera systems, can produce a large number of image or video recordings. This algorithm provides support for fast and accurate underwater image mosaic and has important practical significance.


2013 ◽  
Vol 712-715 ◽  
pp. 2395-2398
Author(s):  
Yan Wei Wang ◽  
Hui Li Yu

SIFT (scale invariant key points) which can well handle images with varying orientation and zoom, is widely used in image registration, but the algorithm is complexity and the processing time is too long. Therefore we used the PCA-SIFT (Principle Components Analysis-scale invariant key points) in image registration. Compared the SIFT descriptor, the PCA-SIFT reduced the dimensions of SIFT feature, enhanced the matching accuracy and reduce the elapsed time. Then the mutual information method used in this paper to estimate the best points. Experimental results show that PCA-SIFT algorithm is simplified, robust and liable.


Author(s):  
W. Brünger

Reconstructive tomography is a new technique in diagnostic radiology for imaging cross-sectional planes of the human body /1/. A collimated beam of X-rays is scanned through a thin slice of the body and the transmitted intensity is recorded by a detector giving a linear shadow graph or projection (see fig. 1). Many of these projections at different angles are used to reconstruct the body-layer, usually with the aid of a computer. The picture element size of present tomographic scanners is approximately 1.1 mm2.Micro tomography can be realized using the very fine X-ray source generated by the focused electron beam of a scanning electron microscope (see fig. 2). The translation of the X-ray source is done by a line scan of the electron beam on a polished target surface /2/. Projections at different angles are produced by rotating the object.During the registration of a single scan the electron beam is deflected in one direction only, while both deflections are operating in the display tube.


Author(s):  
P. J. Melnick ◽  
J. W. Cha ◽  
E. Samouhos

Spontaneous mammary tumors in females of a high tumor strain of C3H mice were cut into small fragments that were Implanted into the subcutaneous tissue of the back of males of the same strain, where they grew as transplantable tumors. When about Cm. In diameter daily fractional radiation was begun, applied to the tumors, the rest of the body being shielded by a lead shield. Two groups were treated with 150 and 200 r X-ray dally, of half value layer 0.6mm. copper; a third group was treated with 500 r cobalt radiation dally. The primary purpose was to examine the enzyme changes during radiation, with histochemlcal technics.


2019 ◽  
Author(s):  
Martin Greta

BACKGROUND Tuberculosis is a widespread and in many cases a fatal, infectious disease caused by many strains of mycobacterium complex usually mycobacterium tuberculosis. It can affect any part of the body but mainly the lungs hence called pulmonary tuberculosis. Tuberculosis in children has been less of a public health priority in the recent years despite the fact that TB has been a major cause of childhood morbidity and mortality worldwide with difficulties in diagnosis. Data on trends of childhood TB is rarely in published literature hence need for this research which will help in publishing OBJECTIVE To establish the trends in TB among children aged 1-12 years and its management over a period of five years from 2011- 2015 at Arthur Davison children’s hospital in Ndola and also to determine the proportion of TB in these children and to establish the age group most affected by TB over the period of five years and lastly to assess the proportion of TB and HIV as a co-morbidity METHODS The study reviewed all records that were registered in the MOH TB register at ADH from 2011 to 2015 coming up with a total number of 483 TB records and these records had satisfied the inclusion and exclusion criteria. The data capturing tool was used to collect the data. RESULTS : This study determined the trends of TB in children aged 1 to 12 over the five years period from a total of 483 reviewed paediatric TB cases , its proportion in these children, the age range most affected by TB and lastly assessed TB and HIV as a co-morbidity at Arthur Davison Children’s hospital. It revealed that the trends were decreasing and that out of 483 TB patient, the majority 157(32.5%) of the TB patients were seen in the year 2011, followed by 129(26.7%), 84(17.4%), 57(11.8%) and 56(11.6%) representing the year 2012, 2013, 2014 and 2015 respectively. Findings on the age range most affected are that the majority 282(58.4%) of the TB patients were aged (5-12) years old while 201(41.6%) were aged between (1-5) years old. Therefore, the age range most affected by TB was between (5-12) years. The TB proportion results showed that Out of 483, the majority 467(96.7%) of the TB patient type were newly diagnosed, followed by 13(2.7%), 2(.4%) and the rest 1(.2%) that were Relapse, Trans-in and Treatment resumed respectively. And that many 467(96.7%) of TB condition types were PTB while 16(3.3%) were EPTB. Furthermore, the majority of 463(95.9%) were diagnosed by X-ray while 20(4.1%) were diagnosed by smear microscopy. And lastly In terms of HIV as a co-morbidity, the majority 175(36.2%) of the TB patients were HIV positive, followed by 173(35.8%) that were HIV negative while the rest 135(28%) of the TB patients were not tested for HIV CONCLUSIONS This study reports that the trends of TB in children aged 1-12 years have been decreasing from 2015 to 2011 .And the age range most affected was found to have been 5-12 years and the proportion of TB cases were mostly newly diagnosed and the diagnosis was made by use x-ray and lastly the large proportion of TB patients had tested positive for HIV as a co-morbidity. Therefore efforts should be made to sustain this decreasing trend of childhood TB.


2008 ◽  
Vol 396-398 ◽  
pp. 569-572
Author(s):  
Fumio Watari ◽  
Shigeaki Abe ◽  
I.D. Rosca ◽  
Atsuro Yokoyama ◽  
Motohiro Uo ◽  
...  

Nanoparticles may invade directly into the internal body through the respiratory or digestive system and diffuse inside body. The behavior of nanoparticles in the internal body is also essential to comprehend for the realization of DDS. Thus it is necessary to reveal the internal dynamics for the proper treatments and biomedical applications of nanoparticles. In the present study the plural methods with different principles such as X-ray scanning analytical microscope (XSAM), MRI and Fluorescent microscopy were applied to enable the observation of the internal diffusion of micro/nanoparticles in the (1) whole body level, (2) inner organ level and (3) tissue and intracellular level. Chemical analysis was also done by ICP-AES for organs and compared with the results of XSAM mapping.


Sign in / Sign up

Export Citation Format

Share Document