Lung Area Segmentation on Chest X-Ray Based on Texture Image Feature

2021 ◽  
Author(s):  
Mohd Nizam Saad ◽  
Mohamad Farhan Mohamad Mohsin ◽  
Hamzaini Abdul Hamid ◽  
Zurina Muda
Keyword(s):  
Image Feature ◽  
Texture Image ◽  
X Ray ◽  
Lung Area ◽  
Chest X Ray

Lung area extraction from 3D chest X-ray CT images using a shape model generated by a variable Bézier surface

2003 ◽  
Vol 34 (4) ◽  
pp. 60-71 ◽  
Author(s):  
Takayuki Kitasaka ◽  
Kensaku Mori ◽  
Jun-ichi Hasegawa ◽  
Jun-ichiro Toriwaki
Keyword(s):  
Ct Images ◽  
Shape Model ◽  
X Ray ◽  
Bézier Surface ◽  
Bezier Surface ◽  
Lung Area ◽  
Chest X Ray

scholarly journals Aneurysmal rib cyst

2017 ◽  
Vol 87 (3) ◽  
Author(s):  
Sotirios Moraitis ◽  
Dimitrios Moraitis ◽  
Maria Chounti ◽  
Panagiotis Hountis
Keyword(s):  
Literature Review ◽  
Ct Scan ◽  
Chest Wall ◽  
Benign Tumor ◽  
Clinicopathological Characteristics ◽  
Thoracic Cage ◽  
X Ray ◽  
Breast Examination ◽  
Lung Area ◽  
Chest X Ray

<p>Thoracic cage is the site of development of various primary or metastatic tumors. An aneurysmal rib cyst is a benign tumor arising from the chest wall. Aneurysmal rib cyst is considered a rare surgical entity and its presence must be followed by removal for histology examination. We present here the case of an aneurysmal rib cyst to a young 33-year-old female. The tumor was presented as an expanding left anterior second rib mass during a self-breast examination. Chest x-ray showed a shadow on the left upper lung area and CT scan revealed a large multicystic mass in the anterolateral left 2<sup>nd</sup> rib protruding underneath the thoracic major muscle. We discuss the clinicopathological characteristics of this tumor and its surgical management along with a short literature review.    <strong></strong></p>

scholarly journals Lung Field Segmentation in Chest X-rays: A Deformation-Tolerant Procedure Based on the Approximation of Rib Cage Seed Points

2020 ◽  
Vol 10 (18) ◽  
pp. 6264
Author(s):  
Vasileios Bosdelekidis ◽  
Nikolaos S. Ioakeimidis
Keyword(s):  
Region Growing ◽  
Lung Field ◽  
X Rays ◽  
Rib Cage ◽  
X Ray ◽  
Lung Area ◽  
Chest X Ray ◽  
Bone Structures ◽  
Seed Points ◽  
Lung Field Segmentation

The delineation of bone structures is a crucial step in Chest X-ray image analysis. In the case of lung field segmentation, the main approach after the localization of bone structures is either their individual analysis or their suppression. We prove that a very fast and approximate identification of bone points that are most probably located inside the lung area can help in the segmentation of the lung fields, without the need for bone structure suppression. We introduce a deformation-tolerant region growing procedure. In a two-step approach, a sparse representation of the rib cage is guided to several support points on the lung border. We studied and dealt with the presence of other bone structures that interfere with the lung field. Our method demonstrated very robust behavior even with highly deformed lung appearances, and it achieved state-of-the-art performance in segmentations for the vast majority of evaluated CXR images. Our region growing approach based on the automatically detected rib cage points achieved an average Dice similarity score of 0.92 on the Montgomery County Chest X-ray dataset. We are confident that bone seed points can robustly mark a high-quality lung area while remaining unaffected by different lung shapes and abnormal structures.

Optimal image feature set for detecting lung nodules on chest X-ray images

2002 ◽  
pp. 706-711 ◽  
Author(s):  
Jun Wei ◽  
Yoshihiro Hagihara ◽  
Akinobu Shimizu ◽  
Hidefumi Kobatake
Keyword(s):  
Image Feature ◽  
Lung Nodules ◽  
X Ray ◽  
Chest X Ray

INTEGRATION OF MEDICAL ONTOLOGY CONCEPTS TO ANNOTATE MEDICAL IMAGES

2015 ◽  
Vol 77 (29) ◽  
Author(s):  
Mohd Nizam Saad ◽  
Zurina Muda ◽  
Noraidah Sahari ◽  
Hamzaini Abd Hamid
Keyword(s):  
Medical Image ◽  
Image Annotation ◽  
Medical Images ◽  
Regions Of Interest ◽  
Semantic Description ◽  
Image Description ◽  
X Ray ◽  
Lung Area ◽  
Chest X Ray ◽  
Enrichment Process

Medical ontology has become an important element to enrich semantic description in medical images. The enrichment process can be done with medical image annotation where label or keyword can be added into the image description. Therefore, in this paper, we have proposed an annotation model that contains two components i.e. image processing and annotation component in order to annotate chest X-ray images with relevant medical ontology concepts. The first component helps transforming the original medical image into six regions of interest for the lung area while the second component prepares medical ontology concepts to annotate the derived regions. By annotating the chest X-ray images with medical ontology concepts, we hope to obtain better and accurate image retrieval.

Tuberculosis: Diagnostic Challenges in Rural Africa

Praxis ◽  
2019 ◽  
Vol 108 (15) ◽  
pp. 991-996
Author(s):  
Ngisi Masawa ◽  
Farida Bani ◽  
Robert Ndege
Keyword(s):  
Extrapulmonary Tuberculosis ◽  
X Ray ◽  
Molecular Tests ◽  
Rural Settings ◽  
Chest X Ray ◽  
Screening Questions ◽  
Rural Africa ◽  
Tb Diagnostics ◽  
Strip Test ◽  
Urine Strip

Abstract. Tuberculosis (TB) remains among the top 10 infectious diseases with highest mortality globally since the 1990s despite effective chemotherapy. Among 10 million patients that fell ill with tuberculosis in the year 2017, 36 % were undiagnosed or detected and not reported; the number goes as high as 55 % in Tanzania, showing that the diagnosis of TB is a big challenge in the developing countries. There have been great advancements in TB diagnostics with introduction of the molecular tests such as Xpert MTB/RIF, loop-mediated isothermal amplification, lipoarabinomannan urine strip test, and molecular line-probe assays. However, most of the hospitals in Tanzania still rely on the TB score chart in children, the WHO screening questions in adults, acid-fast bacilli and chest x-ray for the diagnosis of TB. Xpert MTB/RIF has been rolled-out but remains a challenge in settings where the samples for testing must be transported over many kilometers. Imaging by sonography – nowadays widely available even in rural settings of Tanzania – has been shown to be a useful tool in the diagnosis of extrapulmonary tuberculosis. Despite all the efforts and new diagnostics, 30–50 % of patients in high-burden TB countries are still empirically treated for tuberculosis. More efforts need to be placed if we are to reduce the death toll by 90 % until 2030.

Lingual Dystonia Treated with Botulinum Toxin - A Case Report

1970 ◽  
Vol 24 (2) ◽  
pp. 75-78
Author(s):  
MA Hayee ◽  
QD Mohammad ◽  
H Rahman ◽  
M Hakim ◽  
SM Kibria
Keyword(s):  
Botulinum Toxin ◽  
Botulinum Toxin A ◽  
Botulinum Toxin Type A ◽  
Botulinum Toxin Type ◽  
X Ray ◽  
Medical College ◽  
Lingual Dystonia ◽  
History Of ◽  
Chest X Ray

A 42-year-old female presented in Neurology Department of Sir Salimullah Medical College with gradually worsening difficulty in talking and eating for the last four months. Examination revealed dystonic tongue, macerated lips due to continuous drooling of saliva and aspirated lungs. She had no history of taking antiparkinsonian, neuroleptics or any other drugs causing dystonia. Chest X-ray revealed aspiration pneumonia corrected later by antibiotics. She was treated with botulinum toxin type-A. Twenty units of toxin was injected in six sites of the tongue. The dystonic tongue became normal by 24 hours. Subsequent 16 weeks follow up showed very good result and the patient now can talk and eat normally. (J Bangladesh Coll Phys Surg 2006; 24: 75-78)

Hubungan antara Luas Lesi pada Foto Toraks Penderita TB Paru Dewasa yang Memiliki Riwayat Diabetes Melitus dengan Indeks Massa Tubuh di Rumah Sakit Hasan Sadikin Bandung

2016 ◽  
Vol 1 (3) ◽  
pp. 138-144
Author(s):  
Ina Edwina ◽  
Rista D Soetikno ◽  
Irma H Hikmat
Keyword(s):  
Chest Radiograph ◽  
Chi Square ◽  
Pulmonary Tb ◽  
X Ray ◽  
Consecutive Sampling ◽  
Close Relationship ◽  
Chi Square Test ◽  
Chest X Ray ◽  
The Relationship ◽  
Diabetes Melitus

Background: Tuberculosis (TB) and diabetes mellitus (DM) prevalence rates are increasing rapidly, especially in developing countries like Indonesia. There is a relationship between TB and DM that are very prominent, which is the prevalence of pulmonary TB with DM increased by 20 times compared with pulmonary TB without diabetes. Chest X-ray picture of TB patients with DM is atypical lesion. However, there are contradictories of pulmonary TB lesion on chest radiograph of DM patients. Nutritional status has a close relationship with the morbidity of DM, as well as TB.Objectives: The purpose of this study was to determine the relationship between the lesions of TB on the chest radiograph of patients who su?er from DM with their Body Mass Index (BMI) in Hasan Sadikin Hospital Bandung.Material and Methods: The study was conducted in Department of Radiology RSHS Bandung between October 2014 - February 2015. We did a consecutive sampling of chest radiograph and IMT of DM patients with clinical diagnosis of TB, then the data was analysed by Chi Square test to determine the relationship between degree of lesions on chest radiograph of pulmonary TB on patients who have DM with their BMI.Results: The results showed that adult patients with active pulmonary TB with DM mostly in the range of age 51-70 years old, equal to 62.22%, with the highest gender in men, equal to 60%. Chest radiograph of TB in patients with DM are mostly seen in people who are obese, which is 40% and the vast majority of lesions are minimal lesions that is equal to 40%.Conclusions: There is a signifcant association between pulmonary TB lesion degree with BMI, with p = 0.03

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