Long-bone fracture detection in digital X-ray images based on digital-geometric techniques

Bandyopadhyay, Oishila; Biswas, Arindam; Bhattacharya, Bhargab B.

doi:10.1016/j.cmpb.2015.09.013

Cited by 44 publications

(23 citation statements)

References 27 publications

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“…Because individual sporting activities like running and cycling were not prohibited, the numbers of lower limb trauma actually decreased by 20.44%, possibly because these fracture types require high-impact trauma, 32 accounted for mostly by road traffic accidents. 8 The number of females requiring T&O Surgery between the two time periods observed was increased, and any reduction in overall numbers was accounted for by the fall in the number of male patients only; down from 96 to 75, illustrating a 21.87% decrease.…”

Section: Discussionmentioning

confidence: 99%

Impact of the COVID-19 Pandemic on Trauma and Orthopaedic Service in the Republic of Ireland

Elbardesy

2020

EMJ Microbiol Infect Dis

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Background: The novel coronavirus disease-2019 (COVID-19) has been identified as the cause of a rapidly spreading respiratory illness that is thought to have originated from Wuhan, China in early December 2019. Since then, the free movement of people has decreased, which has thus reduced the number of trauma-related casualties. The Irish governments initiated strict social distancing measures in response to the COVID-19 pandemic in late March 2020. It remains challenging to quantify the impact this had on reducing the spread of the virus. The viral outbreak has led to significant changes in the lifestyle of Irish citizens. The aim of this study was to examine the impact of the pandemic on activity, related to emergencies in trauma and orthopaedics departments. Methods: Patients admitted to the Trauma and Orthopaedic Department at Cork University Hospital (CUH), Cork, Ireland and South Infirmary Victoria University Hospital (SIVUH), Cork, Ireland between the 1st of March and the 15th of April 2020 were documented and compared to the patient admissions from the same time period in 2019. Results: The total numbers of lower limb trauma cases dropped by 20.44% from 137 (females: 87; males: 50) to 109 (females: 74; male: 35), (p=0.72). Of note, there was a 30.00% reduction in the number of male cases (from 50 to 35; p<0.05), in comparison to the 14.94% reduction observed in the female population (from 87 to 74; p<0.05). The total number of upper limb trauma cases increased by 0.14% from 90 (female: 44; men: 46) to 94 (female: 54; male: 40; p=0.14). The increase reported was only applicable to the female population; the number of male cases of upper limb trauma slightly decreased from 46 to 40 (p<0.005). Conclusion: The COVID-19 crisis has led to a decrease in the total numbers of lower limb trauma surgeries but an increase in the number of upper limb fractures. The main reduction was amongst the male patients, while the number of female cases increased.

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Section: Discussionmentioning

confidence: 99%

Impact of the COVID-19 Pandemic on Trauma and Orthopaedic Service in the Republic of Ireland

Elbardesy

2020

EMJ Microbiol Infect Dis

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“…On the contrary, CT used digital geometry processing to generate a three-dimensional image of the inside of an object from a large series of one or two-dimensional X-ray images taken around a single axis of rotation (Mathiassen et al, 2011). X-ray is widely used for many applications such as construction, for example, cement inspection and crack detection (Garboczi, 2002;Wang, Frost, Voyiadjis, & Harman, 2003), to detect tumors and bone crack for medical application (Bandyopadhyay, Biswas, & Bhattacharya, 2016;Meinel et al, 2014), painting analysis (Debastiani et al, 2016;Sun et al, 2014) as well as food industry, for example, quality control (Haff & Toyofuku, 2008;Nicolaï et al, 2014) and characterization (Mousavi, Miri, Cox, & Fryer, 2005;Schoeman, Williams, Plessis, & Du Manley, 2016). X-ray has an edge in detecting food contamination as its ray has a stronger penetrating power.…”

Section: X-raymentioning

confidence: 99%

Noninvasive techniques for detection of foreign bodies in food: A review

Khairi

Ibrahim

Yunus

et al. 2018

J Food Process Engineering

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Foreign body in food is a matter of concern in food industry as it determines the safety and quality of the product. This issue leads to anxiety as it is hazardous if it is accidentally being consumed. Therefore, foreign body detection is urgently needed. Noninvasive techniques are attractive as they can be used to evaluate without altering the originality of the food products in terms of ingredient and structure. With the growing interest in this subject, this article reviews the development of noninvasive techniques including X‐ray, thermal imaging, near‐infrared spectroscopy, hyperspectral imaging, ultrasonic, and terahertz. The principle and application of each technique are elaborated. The performances and limitations from previous studies in several types of food applications are analyzed. In addition, future trends and challenges encountered with these techniques are highlighted. It is envisaged that the information gathered in this article will be a valuable source of information for researchers working in this topic. Practical applications The existence of foreign bodies in food causes degradation of their quality and safety. The implementation of the noninvasive technique as a monitoring tool have received an encouraging response from the manufacturers which endeavors to maintain their credibility and reputation. This review serves to provide an up‐to‐date development on the noninvasive technique for detecting foreign bodies which is useful for academicians and researchers especially from the food processing industries.

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“…In addition, the automatic computerised analysis of medical imaging can be used in telemedicine as a practical solution for acute shortages of medical practitioners in rural areas. Namely, with the aid of software-based diagnostics of X-ray scans, paramedical staff in remote areas would be able to identify the severity of injuries and respond adequately in a timely fashion [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection

Hržić

Štajduhar

Tschauner

et al. 2019

Entropy

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The paper proposes a segmentation and classification technique for fracture detection in X-ray images. This novel rotation-invariant method introduces the concept of local entropy for de-noising and removing tissue from the analysed X-ray images, followed by an improved procedure for image segmentation and the detection of regions of interest. The proposed local Shannon entropy was calculated for each image pixel using a sliding 2D window. An initial image segmentation was performed on the entropy representation of the original image. Next, a graph theory-based technique was implemented for the purpose of removing false bone contours and improving the edge detection of long bones. Finally, the paper introduces a classification and localisation procedure for fracture detection by tracking the difference between the extracted contour and the estimation of an ideal healthy one. The proposed hybrid method excels at detecting small fractures (which are hard to detect visually by a radiologist) in the ulna and radius bones—common injuries in children. Therefore, it is imperative that a radiologist inspecting the X-ray image receives a warning from the computerised X-ray analysis system, in order to prevent false-negative diagnoses. The proposed method was applied to a data-set containing 860 X-ray images of child radius and ulna bones (642 fracture-free images and 218 images containing fractures). The obtained results showed the efficiency and robustness of the proposed approach, in terms of segmentation quality and classification accuracy and precision (up to 91.16 % and 86.22 % , respectively).

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Long-bone fracture detection in digital X-ray images based on digital-geometric techniques

Cited by 44 publications

References 27 publications

Impact of the COVID-19 Pandemic on Trauma and Orthopaedic Service in the Republic of Ireland

Impact of the COVID-19 Pandemic on Trauma and Orthopaedic Service in the Republic of Ireland

Noninvasive techniques for detection of foreign bodies in food: A review

Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection

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