Raw Data Processing Techniques for Material Classification of Objects in Dual Energy X-ray Baggage Inspection Systems

Abstract Background Sarcopenia is characterized by a progressive reduction in muscle mass, strength and function that comes with aging. There is still broad disagreement regarding for understanding and establishment of universal criteria for the screening of sarcopenia. The objective of present study is to assess differences in the diagnosis and classification of sarcopenia by applying six different criteria to the same sample. Methods Study using the criteria proposed by five groups of authors. Body composition was measured by dual-energy X-ray absorption (DXA) using a Lunar DPX densitometer. Results Participated 156 older women. The frequency of sarcopenia varied depending on the criteria used. The above frequencies exhibited statistically significant differences (p = 0.009). Conclusion Diagnosis of sarcopenia in older women varies according to the proposed criteria.

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Ethnic Differences in the BMI-%BF Relationships between Young Japanese and Australian-Caucasian Males Living in Australia Using Dual-Energy X-ray Absorptiometry

Asia Pacific Journal of Public Health ◽

10.1177/101053950301500s08 ◽

2003 ◽

Vol 15 (1_suppl) ◽

pp. S27-S32 ◽

Cited By ~ 4

Author(s):

M Kagawa ◽

D Kerr ◽

C Binns

Keyword(s):

Ethnic Differences ◽

World Health Organisation ◽

Dual Energy ◽

The Body ◽

World Health ◽

Asia Pacific ◽

Whole Body ◽

X Ray ◽

Total Body

The Body Mass Index (BMI) has been used worldwide as an indicator of fatness. However, the universal cut-off points by the World Health Organisation (WHO) classification may not be appropriate for every ethnic group when consider the relationship with their actual total body fatness (%BF). The application of population-specific classifications to assess BMI may be more relevant to public health. Ethnic differences in the BMI-%BF relationship between 45 Japanese and 42 Australian-Caucasian males were assessed using whole body dual-energy X-ray absorptiometry (DXA) scan and anthropometry using a standard protocol. Japanese males had significantly ( p<0.05) greater %BF at given BMI values than Australian males. When this is taken into account the newly proposed Asia-Pacific BMI classification of BMI >23 as overweight and >25 as obese may better assess the level of obesity that is associated increased health risks for this population. To clarify the current findings, further studies that compare the relationships across other Japanese populations are recommended.

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Development of the technique for automatic highlighting ranges of interest in lungs x-ray images

Information Technology and Nanotechnology ◽

10.18287/1613-0073-2019-2391-128-133 ◽

2019 ◽

pp. 128-133

Author(s):

N Yu Ilyasova ◽

T A Chesnokova

Keyword(s):

Window Size ◽

Textural Properties ◽

Image Clustering ◽

Large Set ◽

Segmentation Result ◽

X Ray ◽

Processing Techniques ◽

The Relationship

In this paper, information technology has been developed for highlighting ranges of interest in lung x-ray images, based on the calculation of textural properties and classification of k-means. In some cases, the highlighted objects can describe not only the current patient’s condition but also specific characteristics regarding age, gender, constitution, etc. While using the k-means method, the relationship between the segmentation error and fragmentation window size was revealed. Within the study, both a visual criterion for evaluating the quality of the segmentation result and a criterion based on calculating the clustering error on a large set of fragmented images were implemented. The study also included image pre-processing techniques. Thus, the study showed that the technology provided key objects highlighting error at 26%. However, the equalizing procedure has lessened this error to 14%. X-ray image clustering errors for fragmentation windows of 12x12, 24x24 and 36x36 were presented.

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A Data Driven Approach to SAR Data Focusing

10.20944/preprints201807.0120.v1 ◽

2018 ◽

Author(s):

Cataldo Guaragnella ◽

Tiziana D'Orazio

Keyword(s):

Data Processing ◽

Data Matrix ◽

Motion Path ◽

Uniform Motion ◽

Complex Data ◽

Point Scatterer ◽

Ancillary Data ◽

Raw Data ◽

Sar Data ◽

Processing Techniques

Synthetic Aperture RADAR (SAR) is a radar imaging technique in which the relative motion of the sensor is used to synthesize a very long antenna and obtain high spatial resolution. Standard SAR raw data processing techniques assume uniform motion of the satellite (or aerial vehicle) and a fixed antenna beam pointing sideway orthogonally to the motion path, assumed rectilinear. Despite SAR data processing is a well established imaging technology that has become fundamental in several fields and applications, in this paper a novel approach has been used to exploit coherent illumination, demonstrating the possibility of extracting a large part of the ancillary data information from the raw data itself, to be used in the focusing procedure. In this work an effort has been carried out to try to focus the raw SAR complex data matrix without the knowledge of anyof the parameters needed in standard focusing procedures as Range Doppler (RD) algorithm, ω - K algorithm and Chirp Scaling (CS) algorithm. All the literature references regarding the algorithms needed to obtain a precise image from raw data use such parameters that refer both to the SAR system acquisition geometry and its radiometric specific parameters. In [12], authors introduced a preliminary work dealing with this problem and able to obtain, in the presence of a strong point scatterer in the observed scene, good quality images, if compared to the standard processing techniques. In this work the proposed technique is described and performances parameters are extracted to compare the proposed approach to RD.

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