Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control

2012 ◽  
Author(s):  
M. Wels ◽  
B. M. Kelm ◽  
A. Tsymbal ◽  
M. Hammon ◽  
G. Soza ◽  
...  
Keyword(s):  
Bone Lesion ◽  
Lesion Detection ◽  
Sensitivity Control ◽  
Multi Stage ◽  
Ct Data

scholarly journals Diagnostic Value of Whole-Body MRI Short Protocols in Bone Lesion Detection in Multiple Myeloma Patients

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1053
Author(s):  
Davide Ippolito ◽  
Teresa Giandola ◽  
Cesare Maino ◽  
Davide Gandola ◽  
Maria Ragusi ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow Involvement ◽  
Bone Lesion ◽  
Diagnostic Value ◽  
Lesion Detection ◽  
Lower Limbs ◽  
Whole Body ◽  
Bone Lesions ◽  
Whole Body Mri ◽  
Mri Protocol

The aim of the study is to evaluate the effectiveness of short whole-body magnetic resonance imaging (WBMRI) protocols for the overall assessment of bone marrow involvement in patients with multiple myeloma (MM), in comparison with standard whole-body MRI protocol. Patients with biopsy-proven MM, who underwent a WBMRI with full-body coverage (from vertex to feet) were retrospectively enrolled. WBMRI images were independently evaluated by two expert radiologists, in terms of infiltration patterns (normal, focal, diffuse, and combined), according to location (the whole skeleton was divided into six anatomic districts: skull, spine, sternum and ribs, upper limbs, pelvis and proximal two-thirds of the femur, remaining parts of lower limbs) and lytic lesions number (<5, 5–20, and >20). The majority of patients showed focal and combined infiltration patterns with bone lesions predominantly distributed in the spine and pelvis. As skull and lower limbs are less frequently involved by focal bone lesions, excluding them from the standard MRI protocol allows to obtain a shorter protocol, maintaining a good diagnostic value.

scholarly journals A Phantom Investigation to Quantify Huygens Principle Based Microwave Imaging for Bone Lesion Detection

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1505 ◽  
Author(s):  
Banafsheh Khalesi ◽  
Behnaz Sohani ◽  
Navid Ghavami ◽  
Mohammad Ghavami ◽  
Sandra Dudley ◽  
...  
Keyword(s):  
Bone Lesion ◽  
Microwave Imaging ◽  
Lesion Detection ◽  
Linear Scale ◽  
Frequency Range ◽  
Spatial Displacement ◽  
Artefact Removal ◽  
Huygens Principle ◽  
Transmitting Antenna ◽  
The Impact

This paper demonstrates the outcomes of a feasibility study of a microwave imaging procedure based on the Huygens principle for bone lesion detection. This study has been performed using a dedicated phantom and validated through measurements in the frequency range of 1–3 GHz using one receiving and one transmitting antenna in free space. Specifically, a multilayered bone phantom, which is comprised of cortical bone and bone marrow layers, was fabricated. The identification of the lesion’s presence in different bone layers was performed on images that were derived after processing through Huygens’ principle, the S21 signals measured inside an anechoic chamber in multi-bistatic fashion. The quantification of the obtained images was carried out by introducing parameters such as the resolution and signal-to-clutter ratio (SCR). The impact of different frequencies and bandwidths (in the 1–3 GHz range) in lesion detection was investigated. The findings showed that the frequency range of 1.5–2.5 GHz offered the best resolution (1.1 cm) and SCR (2.22 on a linear scale). Subtraction between S21 obtained using two slightly displaced transmitting positions was employed to remove the artefacts; the best artefact removal was obtained when the spatial displacement was approximately of the same magnitude as the dimension of the lesion.

scholarly journals Lesion Detection Performance: Comparative Analysis of Low-Dose CT Data of the Chest on Two Hybrid Imaging Systems

2015 ◽  
Vol 43 (1) ◽  
pp. 47-52 ◽  
Author(s):  
M. Jessop ◽  
J. D. Thompson ◽  
J. Coward ◽  
A. Sanderud ◽  
J. Jorge ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Low Dose ◽  
Hybrid Imaging ◽  
Detection Performance ◽  
Lesion Detection ◽  
Imaging Systems ◽  
Low Dose Ct ◽  
Ct Data ◽  
Two Hybrid

A statistically optimized regional thresholding method (SORT) for bone lesion detection in 18F-NaF PET/CT imaging

2018 ◽  
Vol 63 (22) ◽  
pp. 225018 ◽  
Author(s):  
Timothy Perk ◽  
Song Chen ◽  
Stephanie Harmon ◽  
Christie Lin ◽  
Tyler Bradshaw ◽  
...  
Keyword(s):  
Bone Lesion ◽  
Ct Imaging ◽  
Lesion Detection ◽  
Thresholding Method ◽  
Pet Ct

Bone lesion detection with carrier-added 99mTc-EDTMP in comparison with 99mTc-DPD

2004 ◽  
Vol 25 (4) ◽  
pp. 361-365 ◽  
Author(s):  
Barbara J. Fueger ◽  
Markus Mitterhauser ◽  
Wolfgang Wadsak ◽  
Sedat Ofluoglu ◽  
Tatjana Traub ◽  
...  
Keyword(s):  
Bone Lesion ◽  
Lesion Detection

scholarly journals Weakly-supervised lesion analysis with a CNN-based framework for COVID-19

2021 ◽  
Author(s):  
Kaichao Wu ◽  
Beth Jelfs ◽  
Xiangyuan Ma ◽  
Ruitian Ke ◽  
Xuerui Tan ◽  
...  
Keyword(s):  
State Of The Art ◽  
Ground Glass Opacity ◽  
Ct Images ◽  
Lesion Detection ◽  
Ct Image ◽  
Medical College ◽  
Lesion Analysis ◽  
Ct Data ◽  
Weakly Supervised

Abstract Lesions of COVID-19 can be visualized clearly by chest CT images, therefore, providing valuable evidence for clinicians when making a diagnosis. However, due to the variety of COVID-19 lesions and the complexity of the manual delineation procedure, automatic analysis of lesions with unknown and diverse types from a CT image remains a challenging task. In this paper we propose a weakly-supervised framework for this task, requiring only a series of normal and abnormal CT images without the need for annotations of the specific locations and types of lesions. Specifically, this framework employs a deep learning-based diagnosis branch for the classification of the CT image and then leverages a lesion identification branch to capture multiple types of lesions. We verify our framework on publicly available datasets and CT data collected from 13 patients of the First Affiliated Hospital of Shantou University Medical College, China. The results show that the proposed framework can achieve state-of-the-art diagnosis prediction, and the extracted lesion features are capable of distinguishing between lesions showing ground glass opacity and consolidation. Further exploration also demonstrates that this framework has the potential to discover lesion types that have not been reported and can potentially be generalized to lesion detection of other chest-based diseases.

scholarly journals Free-Space Operating Microwave Imaging Device for Bone Lesion Detection: A Phantom Investigation

2020 ◽  
Vol 19 (12) ◽  
pp. 2393-2397
Author(s):  
Banafsheh Khalesi ◽  
Behnaz Sohani ◽  
Navid Ghavami ◽  
Mohammad Ghavami ◽  
Sandra Dudley ◽  
...  
Keyword(s):  
Free Space ◽  
Bone Lesion ◽  
Microwave Imaging ◽  
Lesion Detection ◽  
Imaging Device

scholarly journals The effects of periapical lesion healing on bone density

2020 ◽  
Vol 10 (3) ◽  
pp. 90-99
Author(s):  
Gizem Akın Tartuk ◽  
Elçin Tekin Bulut
Keyword(s):  
Bone Density ◽  
Bone Lesion ◽  
Three Dimensional ◽  
Two Dimensions ◽  
Lesion Detection ◽  
Diagnosis And Treatment ◽  
Periapical Lesion ◽  
Mineral Density ◽  
Imaging Methods ◽  
Periapical Lesions

Operative dental procedures may promote pulpal infections, such as tooth cavity, trauma and teeth abrasion, anaerobic microorganism colonization causing total pulp necrosis, and periapical lesions that result in bone destruction in the periapical region. Periapical radiographs are important tools for identifying periapical pathologies. However, given that the imaging system shows three-dimensional formations in two dimensions, the knowledge about the actual size of the lesion and the real relationship with the anatomic structures is limited. These limitations force clinicians to choose the high resolution and current imaging methods that show all the details of the oral structures, such as conic beam computed tomography (CBCT). CBCT is a highly effective diagnostic device for early period bone lesion detection in which the gray value for bone density is measured in Hounsfield unit (HU). Other than using CBCT, bone mineral density measurement can be done to assess the healing of existing lesions. When the periapical lesion is healing, a series of formation and destruction processes follow each other. On the one hand, mediators and tissues that must be removed from the region are destroyed by host defense cells; on the other hand, cells included in the repair process provide new tissue generation and remodelling to provide the pre-disease anatomic properties in the lesion region. This review discusses recent studies using current three-dimensional imaging methods, compared with traditional methods for bone damage due to periapical lesion formation and healing after suitable treatment. This study aims to investigate the advantages and shortcomings of existing treatment and diagnosis approaches in endodontic periradicular lesion diagnosis and treatment. The findings highlight promising diagnosis and treatment tools and suggest the expansion of minimally invasive approaches to eliminate the problems in periapical lesions.   How to cite this article: How to cite this article: Akın Tartuk G, Tekin Bulut E. The effects of periapical lesion healing on bone density. Int Dent Res 2020;10(3):90-9. https://doi.org/10.5577/intdentres.2020.vol10.no3.5   Linguistic Revision: The English in this manuscript has been checked by at least two professional editors, both native speakers of English.

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