Semi-automatic Compartment Extraction to Assess 3D Bone Mineral Density and Morphometric Parameters of the Subchondral Bone in the Tibial Knee

Youssef, Rabaa; Bouhadoun, Hamid; Laredo, J. D.; Chappard, Christine

doi:10.1109/iv.2015.92

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Thus, the area open operation is performed on the inverted binary image I bin for clearing or reducing unnecessary scanning noise to accomplish accurate segmentation of the content from the background [19]. Union convex hull composition methods [38,39] are adapted and applied to create a single convex hull around the content of the manuscripts. Then, the margins are estimated for all four directions (i.e., left (l m ), right (r m ), top (t m ), and bottom (b m )).…”

Section: Analyzing Page Overallmentioning

confidence: 99%

Semantic Document Layout Analysis of Handwritten Manuscripts

Jaha¹

2023

Computers, Materials &Amp; Continua

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A document layout can be more informative than merely a document's visual and structural appearance. Thus, document layout analysis (DLA) is considered a necessary prerequisite for advanced processing and detailed document image analysis to be further used in several applications and different objectives. This research extends the traditional approaches of DLA and introduces the concept of semantic document layout analysis (SDLA) by proposing a novel framework for semantic layout analysis and characterization of handwritten manuscripts. The proposed SDLA approach enables the derivation of implicit information and semantic characteristics, which can be effectively utilized in dozens of practical applications for various purposes, in a way bridging the semantic gap and providing more understandable high-level document image analysis and more invariant characterization via absolute and relative labeling. This approach is validated and evaluated on a large dataset of Arabic handwritten manuscripts comprising complex layouts. The experimental work shows promising results in terms of accurate and effective semantic characteristic-based clustering and retrieval of handwritten manuscripts. It also indicates the expected efficacy of using the capabilities of the proposed approach in automating and facilitating many functional, reallife tasks such as effort estimation and pricing of transcription or typing of such complex manuscripts.

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Section: Analyzing Page Overallmentioning

confidence: 99%

Semantic Document Layout Analysis of Handwritten Manuscripts

Jaha¹

2023

Computers, Materials &Amp; Continua

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“…Even though computed tomography imaging can provide more accurate estimation for bone mineral density, the technics suffered from extra radiation dosage delivered to the patient. More research on bone mineral density based on X-ray modalities can be found in [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Bone Mineral Density Screening System Using CMOS-Sensor X-ray Detector

Maneerat

Visitsattapongse

Pintavirooj

2021

Sensors

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This research concerns a design and construction of a bone mineral density (BMD) and bone mineral content (BMC) measurement system based on dual energy X-ray absorptiometry (DEXA). An indirect X-ray detector is designed by optical coupling CMOS sensor with image on the intensifying screen. A dedicated microcontroller X-ray apparatus is used as an X-ray source to capture two energy level X-ray of middle phalanges bone of middle finger. The captured image is processed based on modified Beer-Lambert law to compute bone mineral density. Bone mineral content is also computed by determining the area of the phalanges bone using active contour. The designed bone mineral density (BMD) and bone mineral content (BMC) measurement system is low-cost and hence can be distributed at district hospital for screening purposes of Osteoporosis of the elderly. Compared with BMD measured from commercial model, BMD measurement of our system acquires linear relation with R2 equals 0.969. The mean square error between the normalized BMD value and that of the commercial model is 0.0000981.

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A Comprehensive Review on MRI-based Knee Joint Segmentation and Analysis Techniques

Mahendrakar

Kumar

Patil³

2023

CMIR

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Using magnetic resonance imaging (MRI) in osteoarthritis pathogenesis research has proven extremely beneficial. However, it is always challenging for both clinicians and researchers to detect morphological changes in knee joints from magnetic resonance (MR) imaging since the surrounding tissues produce identical signals in MR studies, making it difficult to distinguish between them. Segmenting the knee bone, articular cartilage and menisci from the MR images allows one to examine the complete volume of the bone, articular cartilage, and menisci. It can also be used to assess certain characteristics quantitatively. However, segmentation is a laborious and time-consuming operation that requires sufficient training to complete correctly. With the advancement of MRI technology and computational methods, researchers have developed several algorithms to automate the task of individual knee bone, articular cartilage and meniscus segmentation during the last two decades. This systematic review aims to present available fully and semi-automatic segmentation methods for knee bone, cartilage, and meniscus published in different scientific articles. This review provides a vivid description of the scientific advancements to clinicians and researchers in this field of image analysis and segmentation, which helps the development of novel automated methods for clinical applications. The review also contains the recently developed fully automated deep learning-based methods for segmentation, which not only provides better results compared to the conventional techniques but also open a new field of research in Medical Imaging.

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Semi-automatic Compartment Extraction to Assess 3D Bone Mineral Density and Morphometric Parameters of the Subchondral Bone in the Tibial Knee

Cited by 3 publications

References 14 publications

Semantic Document Layout Analysis of Handwritten Manuscripts

Semantic Document Layout Analysis of Handwritten Manuscripts

Bone Mineral Density Screening System Using CMOS-Sensor X-ray Detector

A Comprehensive Review on MRI-based Knee Joint Segmentation and Analysis Techniques

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