Computer Aided Optimisation of X Ray Fluorescence Equipment

1999 ◽  
Vol 81 (1) ◽  
pp. 19-24
Author(s):  
R. Behrens ◽  
R. Nolte ◽  
P. Ambrosi
Keyword(s):  
X Ray ◽  
Computer Aided

scholarly journals Characterisation of the Filler Fraction in CAD/CAM Resin-Based Composites

Materials ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 1986
Author(s):  
Andreas Koenig ◽  
Julius Schmidtke ◽  
Leonie Schmohl ◽  
Sibylle Schneider-Feyrer ◽  
Martin Rosentritt ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Point Of View ◽  
Specific Information ◽  
Dental Resin ◽  
X Ray ◽  
Computer Aided ◽  
Cad Cam ◽  
Filler Fraction ◽  
The Individual ◽  
Aided Design

The performance of dental resin-based composites (RBCs) heavily depends on the characteristic properties of the individual filler fraction. As specific information regarding the properties of the filler fraction is often missing, the current study aims to characterize the filler fractions of several contemporary computer-aided design/computer-aided manufacturing (CAD/CAM) RBCs from a material science point of view. The filler fractions of seven commercially available CAD/CAM RBCs featuring different translucency variants were analysed using Scanning Electron Microscopy (SEM) with Energy Dispersive X-ray Spectroscopy (EDS), Micro-X-ray Computed Tomography (µXCT), Thermogravimetric Analysis (TG) and X-ray Diffractometry (XRD). All CAD/CAM RBCs investigated included midifill hybrid type filler fractions, and the size of the individual particles was clearly larger than the individual specifications of the manufacturer. The fillers in Shofu Block HC featured a sphericity of ≈0.8, while it was <0.7 in all other RBCs. All RBCs featured only X-ray amorphous phases. However, in Lava Ultimate, zircon crystals with low crystallinity were detected. In some CAD/CAM RBCs, inhomogeneities (X-ray opaque fillers or pores) with a size <80 µm were identified, but the effects were minor in relation to the total volume (<0.01 vol.%). The characteristic parameters of the filler fraction in RBCs are essential for the interpretation of the individual material’s mechanical and optical properties.

Effects of leflunomide and methotrexate in rheumatoid arthritis detected by digital X-ray radiogrammetry and computer-aided joint space analysis

2008 ◽  
Vol 29 (3) ◽  
pp. 287-295 ◽  
Author(s):  
Alexander Pfeil ◽  
Julia Lippold ◽  
Thorsten Eidner ◽  
Gabriele Lehmann ◽  
Peter Oelzner ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Joint Space ◽  
X Ray ◽  
Space Analysis ◽  
Computer Aided

Computer-Aided Image Analysis for Vertebral Anatomy on X-Ray CT Images

2013 ◽  
pp. 159-184
Author(s):  
T. Hayashi ◽  
H. Chen ◽  
K. Miyamoto ◽  
X. Zhou ◽  
T. Hara ◽  
...  
Keyword(s):  
Image Analysis ◽  
Ct Images ◽  
X Ray ◽  
Computer Aided

scholarly journals A NEW METHOD FOR QUANTIFICATION OF REGENERATED BONE TISSUE ON X-RAY IMAGES OF ELONGATED BONES

2011 ◽  
Vol 22 (3) ◽  
pp. 183 ◽  
Author(s):  
Aneta Gądek ◽  
Leszek Wojnar ◽  
Maciej Tęsiorowski ◽  
Barbara Jasiewicz
Keyword(s):  
External Fixator ◽  
Theoretical Background ◽  
New Method ◽  
Ilizarov Method ◽  
Bone Lengthening ◽  
X Ray ◽  
Internal Part ◽  
Computer Aided Analysis ◽  
Computer Aided ◽  
The Moment

A new method for quantification of bone regenerate on the basis of computer-aided analysis of digitized Xray images is presented and its applicability in bone lengthening using Ilizarov method is demonstrated. In contrary to classical methods the internal part of the bone image is taken into consideration instead of the bone edges. Theoretical background of this concept is presented and experimentally verified. Experimental results show that the method proposed allows us for assessment of the bone regenerate, precise choice of the moment of external fixator removal as well as prediction of abnormalities in the osteogenesis process (excluding overall decalcification). However, the rules of interpretation of the results are not discussed in details.

scholarly journals Automatic computer-aided caries detection from dental x-ray images using intelligent level set

2018 ◽  
Vol 77 (21) ◽  
pp. 28843-28862 ◽  
Author(s):  
Abdolvahab Ehsani Rad ◽  
Mohd Shafry Mohd Rahim ◽  
Hoshang Kolivand ◽  
Alireza Norouzi
Keyword(s):  
Level Set ◽  
Caries Detection ◽  
Automatic Computer ◽  
X Ray ◽  
Computer Aided

Computer-Aided Detection and Diagnosis for 3D X-Ray Based Breast Imaging

2012 ◽  
pp. 66-85
Author(s):  
Gautam S. Muralidhar ◽  
Alan C. Bovik ◽  
Mia K. Markey
Keyword(s):  
Breast Imaging ◽  
Digital Breast Tomosynthesis ◽  
Future Research ◽  
Computer Aided Detection ◽  
Breast Tomosynthesis ◽  
X Ray ◽  
Computer Aided ◽  
Recent Developments ◽  
Initial Work ◽  
Detection And Diagnosis

The last 15 years has seen the advent of a variety of powerful 3D x-ray based breast imaging modalities such as digital breast tomosynthesis, digital breast computed tomography, and stereo mammography. These modalities promise to herald a new and exciting future for early detection and diagnosis of breast cancer. In this chapter, the authors review some of the recent developments in 3D x-ray based breast imaging. They also review some of the initial work in the area of computer-aided detection and diagnosis for 3D x-ray based breast imaging. The chapter concludes by discussing future research directions in 3D computer-aided detection.

scholarly journals Implementing a socio-technical system for computer-aided tuberculosis diagnosis in Peru: A field trial among health professionals in resource-constraint settings

2020 ◽  
Vol 26 (4) ◽  
pp. 2762-2775
Author(s):  
Cesar Ugarte-Gil ◽  
Maria Icochea ◽  
Juan Carlos Llontop Otero ◽  
Katerine Villaizan ◽  
Nicola Young ◽  
...  
Keyword(s):  
Median Duration ◽  
Field Trial ◽  
Interquartile Range ◽  
Technical System ◽  
Health Centers ◽  
Successful Implementation ◽  
X Rays ◽  
X Ray ◽  
Computer Aided ◽  
Tuberculosis Diagnosis

A major challenge of tuberculosis diagnosis is the lack of universal accessibility to bacteriological confirmation. Computer-aided diagnostic interventions have been developed to address this gap and their successful implementation depends on many health systems factors. A socio-technical system to implement a computer-aided diagnostic tuberculosis diagnosis was preliminary tested in five primary health centers located in Lima, Peru. We recruited nurses (n = 7) and tuberculosis physicians (n = 5) from these health centers to participate in a field trial of an mHealth tool (eRx X-ray diagnostic app). From September 2018 to February 2019, the nurses uploaded images of chest X-rays using smartphones and the physicians reviewed those images on web-based platforms using tablets. Both completed weekly written feedback about their experience. Each nurse participated for a median duration of 12 weeks (interquartile range = 7.5–15.5), but image upload was only possible at a median of 58 percent (interquartile range = 35.1%–84.4%) of those weeks. Each physician participated for a median duration of 17 weeks (interquartile range = 12–17), but X-ray image review was only possible at a median of 52 percent (interquartile range = 49.7%–57.4%) of those weeks. Heavy workload was most frequently provided as the reason for missing data. Several infrastructural and technological challenges impaired the effective implementation of the mHealth tool, irrespective of its diagnostic accuracy.

scholarly journals Automatic segmentation of chondroblastoma from X-ray images using active contour and levelset method

2018 ◽  
Vol 7 (2.21) ◽  
pp. 140
Author(s):  
P Y. Muhammed Anshad ◽  
Dr S.S. Kumar
Keyword(s):  
Bone Tumor ◽  
Active Contour ◽  
Automatic Segmentation ◽  
Diagnostic Errors ◽  
Benign Tumors ◽  
Long Bones ◽  
Chondromyxoid Fibroma ◽  
X Ray ◽  
Surgical Methods ◽  
Computer Aided

Chondroblastoma is a benign but locally aggressive bone tumor found usually in the age below 25 years. Chondroblastoma is a destructive type of lesion with a thin radio dense border which is normally seen in the epiphysis of long bones. The benign tumors have similarities in pathology and could be related with histogenic similarity. This tumor reduces the strength of affected bone and may leads to death if not treated early. Chondroblastoma can be diagnosed from X-ray/CT/MRI images and the treatment is its removal by surgical methods. Diagnosis of Chondroblastoma is difficult due to the similarities with other benign tumors like chondromyxoid fibroma. To reduce diagnostic errors, computer aided methods can adopt. This work focuses on automatic segmentation of Chondroblastoma using active contour and level set method which gives better segmentation results and a mild stone to CAD design. 

Sign in / Sign up

Export Citation Format

Share Document