Determination of spinal curvature from scoliosis X-ray images using K-means and curve fitting for early detection of scoliosis disease

Kusuma, Bagus Adhi

doi:10.1109/icitisee.2017.8285486

Cited by 10 publications

(5 citation statements)

References 12 publications

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“…Patients who were diagnosed with SMA type 2 had moderate-severe scoliosis by classification based on Cobb angles. 6 A 29-year-old female patient who was on an intrathecal nusinersen treatment schedule had spinal surgery-instrumentation history owing to scoliosis. A 64year-old female patient who underwent CT-guided LP with a prediagnosis of demyelinating disease had a history of spinal instrumentation because of a previous trauma-compression fracture.…”

Section: Resultsmentioning

confidence: 99%

“…One of the patients with IIH was a morbidly obese female patient with a body mass index (BMI) >40 kg/m 2 . Patients who were diagnosed with SMA type 2 had moderate-severe scoliosis by classification based on Cobb angles 6 . A 29-year-old female patient who was on an intrathecal nusinersen treatment schedule had spinal surgery-instrumentation history owing to scoliosis.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Computed Tomography–Guided Lumbar Puncture: Advantages and Disadvantages

Ökçesiz¹,

Dönmez²,

Herdem³

et al. 2022

J Comput Assist Tomogr

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Objective: This study aimed to evaluate the utility of computed tomography (CT) guidance in difficult lumbar puncture (LP) cases, which had a history of at least one unsuccessful blind attempt at LP (no imaging guidance), and to note potential advantages and disadvantages of the use of CT guidance. Methods:In total, 32 CT-guided LP procedures performed between June 2019 and March 2021 were included. All LP indications were recorded. The procedures where the cerebrospinal fluid flow was provided by a single puncture were evaluated as "primary technical success." "Secondary technical success" corresponded with the procedures in which additional puncture was necessary for the cerebrospinal fluid flow.Results: Intrathecal nusinersen injections due to spinal muscular atrophy constituted the largest procedure group of this study. Among 32 procedures, primary and secondary technical success rates were 78.12% and 28.57%, respectively. There were no major procedural complications.Conclusions: Computed tomography-guided LP is an effective interventional technique offering an alternative approach in the setting of difficult LP procedures.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Computed Tomography–Guided Lumbar Puncture: Advantages and Disadvantages

Ökçesiz¹,

Dönmez²,

Herdem³

et al. 2022

J Comput Assist Tomogr

View full text Add to dashboard Cite

show abstract

“…Kusuma, B.A. [52] uses a Canny filter to extract the edges of the vertebral body and cooperate with K-means clustering to find the centroid of the spine segment to fit the midline of the spine. To avoid interference from unrelated structures such as ribs, Duong, L. [53] delineated a region of interest (ROI) for each vertebral body in the training set (where ROI is defined as an area that includes the corresponding vertebral body but is slightly larger than each vertebral body).…”

Section: Full-automatic Methodsmentioning

confidence: 99%

A Review of the Methods on Cobb Angle Measurements for Spinal Curvature

Chen

Wang

Yang

et al. 2022

Sensors

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Scoliosis is a common disease of the spine and requires regular monitoring due to its progressive properties. A preferred indicator to assess scoliosis is by the Cobb angle, which is currently measured either manually by the relevant medical staff or semi-automatically, aided by a computer. These methods are not only labor-intensive but also vary in precision by the inter-observer and intra-observer. Therefore, a reliable and convenient method is urgently needed. With the development of computer vision and deep learning, it is possible to automatically calculate the Cobb angles by processing X-ray or CT/MR/US images. In this paper, the research progress of Cobb angle measurement in recent years is reviewed from the perspectives of computer vision and deep learning. By comparing the measurement effects of typical methods, their advantages and disadvantages are analyzed. Finally, the key issues and their development trends are also discussed.

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“…K-means is the most famous clustering technique and was first introduced by Macqueen [11]. Clustering is a technique for dividing objects into groups [12].…”

Section: K-meanmentioning

confidence: 99%

Cattle Transport Drivers Clustering using PCA and K-Means Algorithm

Jaman,

Buono,

Astuti

et al. 2024

E3S Web Conf.

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This research explores the logistics of cattle transportation in Indonesia, specifically focusing on its impact on cattle welfare during travel. Through interviews and observations involving 73 cattle transporters and ranchers, the study investigated critical factors such as physiological, thermal, and overall condition stress of cattle. With a methodological approach that includes fact-finding and data understanding, preprocessing, data transformation with PCA, and K-Means clustering, this analysis reveals that two main components can account for about 44.71% of the total data variation. 27 of the 72 rows of data fit into cluster 0, 22 rows of data went into cluster 1, and 24 rows of data went into group 2. The findings have implications for designing more humane and efficient transport strategies, potentially reducing stress-induced weight loss in cows. In addition, the results of the study provide insights for practitioners and stakeholders in optimizing route planning, driver selection, and overall logistics management. Research findings can provide input for improved regulation in the cattle sector, encouraging responsible and ethical practices. In addition, the study suggests the potential for developing guidelines or training programs for cattle transporters, improving their skills and awareness regarding good animal treatment during travel. Overall, this research opens up opportunities to improve practices and policies in the cattle farming industry in Indonesia, with a positive impact on animal welfare and the sustainability of the cattle supply chain as a whole.

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Determination of spinal curvature from scoliosis X-ray images using K-means and curve fitting for early detection of scoliosis disease

Cited by 10 publications

References 12 publications

Computed Tomography–Guided Lumbar Puncture: Advantages and Disadvantages

Computed Tomography–Guided Lumbar Puncture: Advantages and Disadvantages

A Review of the Methods on Cobb Angle Measurements for Spinal Curvature

Cattle Transport Drivers Clustering using PCA and K-Means Algorithm

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