scholarly journals Facial Feature Removal for Anonymization of Neurological Image Data

2021 ◽  
Vol 7 (1) ◽  
pp. 130-134
Author(s):  
Fina Gießler ◽  
Maximilian Thormann ◽  
Bernhard Preim ◽  
Daniel Behme ◽  
Sylvia Saalfeld
Keyword(s):  
Image Quality ◽  
Continuous Improvement ◽  
Data Protection ◽  
Image Data ◽  
Facial Feature ◽  
Patient Specific ◽  
Facial Features ◽  
Specific Information ◽  
Interdisciplinary Exchange

Abstract Interdisciplinary exchange of medical datasets between clinicians and engineers is essential for clinical research. Due to the Data Protection Act, which preserves the rights of patients, full anonymization is necessary before any exchange can take place. Due to the continuous improvement of image quality of tomographic datasets, anonymization of patient-specific information is not sufficient. In this work, we present a prototype that allows to reliably obscure the facial features of patient data, thus enabling anonymization of neurological datasets in image space.

Restoration and Enhancement of Digitally Reconstructed Holographic Images

2011 ◽  
pp. 105-120
Author(s):  
Rajeev Srivastava
Keyword(s):  
Image Quality ◽  
Image Data ◽  
Speckle Noise ◽  
Zero Order ◽  
Speckle Reduction ◽  
Average Intensity ◽  
Robust Algorithms ◽  
Order Diffraction ◽  
High Pass

Holograms can be reconstructed optically or digitally with the use of computers and other related devices. During the reconstruction phase of a hologram by optical or digital methods, some errors may also be introduced that may degrade the quality of obtained hologram, and may lead to a misinterpretation of the holographic image data, which may not be useful for particular application. The basic common errors are zero-order diffraction and speckle noise. These errors have more undesirable effects in digital than in optical holography because the systems of recording and visualization used in the digital holography are extremely sensitive to them or inclusively increase them. The zero-order diffraction can be removed by using high pass filters with low cut-off frequencies and by subtracting the average intensity of all pixels of the hologram image from the original hologram image. Further, the speckle noise introduced during the formation of digital holographic images, which is multiplicative in nature, reduces the image quality, which may not be suitable for specific applications. As the range of applications get broader, demands toward better image quality increases. Hence, the suppression of noise, higher resolution of the reconstructed images, precise parameter adjustment, and faster, more robust algorithms are the essential issues. In this chapter, the various methods available in literature for enhancement and speckle reduction of digital holographic images have been discussed, and a comparative study of results has been presented.

Weighting Facial Features Extraction using Geometric Average

2001 ◽  
Vol 6 (1) ◽  
pp. 39-44
Author(s):  
Saparudin Saparudin
Keyword(s):  
Facial Feature ◽  
Recognition System ◽  
Facial Features ◽  
Important Process ◽  
Facial Feature Extraction ◽  
Geometric Average ◽  
Face Recognition System ◽  
The Face ◽  
Human Eyes

Human facial feature extraction is an important process in the face recognition system. The quality of the results from the extraction of human facial features is determined by the degree of accuracy. The weighting of human facial features is used to test the accuracy of the methods used. This research produces the process of weighting the facial features automatically. The results obtained are the same as those seen by the human eyes.  

Weighting Facial Features Extraction using Geometric Average

2001 ◽  
Vol 6 (1) ◽  
pp. 39-44
Author(s):  
Saparudin Saparudin
Keyword(s):  
Facial Feature ◽  
Recognition System ◽  
Facial Features ◽  
Important Process ◽  
Facial Feature Extraction ◽  
Geometric Average ◽  
Face Recognition System ◽  
The Face ◽  
Human Eyes

Human facial feature extraction is an important process in the face recognition system. The quality of the results from the extraction of human facial features is determined by the degree of accuracy. The weighting of human facial features is used to test the accuracy of the methods used. This research produces the process of weighting the facial features automatically. The results obtained are the same as those seen by the human eyes.  

Developing Training Tools for Clinicians in LICs: A Qualitative Investigation of the Patient Factors That Influence Prosthetic Prescription

2020 ◽  
Author(s):  
Michael Walker ◽  
Pratima Saravanan ◽  
Jessica Menold
Keyword(s):  
Activity Level ◽  
Patient Specific ◽  
Specific Information ◽  
Material Resources ◽  
Health History ◽  
Medical Infrastructure ◽  
Lower Income Countries ◽  
Future Work

Abstract A prosthesis is a replacement limb that must be functionally sound, comfortably fit, durable, and aesthetically pleasing. Difficulty in prescription is further amplified by each patient’s unique needs and the variability within patient data. The clinician’ s education and prior training is critical in effectively navigating the wealth of patient specific information needed to prescribe a prosthesis and rehabilitation plan that increases the likelihood of long-term patient success. Education and training significantly vary, however, from country to country, and in Lower Income Countries (LIC) a lack of formalized prosthetic training contributes to a lower quality of life for resident amputees. Prosthetists and technicians in LICs face further challenges due to a lack of material resources and formal medical infrastructure. This study was motivated to understand the types of patient information that influence decision-making strategies during prosthetic prescription and compare strategies across expert and novice groups. The results of this study suggest that salient factors are different between each clinician group and is influenced by the complexity of the patients’ case. Activity level of the amputee influenced novices’ prescription, whereas amputee’s motivation, insurance, and health history influenced experts’ prosthetic prescription. Future work exploring the utility of complimentary or supplemental prescription tools, particularly for prosthetists in LICs, is discussed.

Observability of Very Thick Specimen by Using Transmission Scanning Electron Microscope

1971 ◽  
Vol 29 ◽  
pp. 26-27
Author(s):  
K. Shibatomi ◽  
T. Yamanoto ◽  
H. Koike
Keyword(s):  
Electron Microscope ◽  
Image Quality ◽  
Scanning Electron Microscope ◽  
Chromatic Aberration ◽  
Image Contrast ◽  
Objective Lens ◽  
Thick Specimen ◽  
Transmission Electron ◽  
Scanning Electron

In the observation of a thick specimen by means of a transmission electron microscope, the intensity of electrons passing through the objective lens aperture is greatly reduced. So that the image is almost invisible. In addition to this fact, it have been reported that a chromatic aberration causes the deterioration of the image contrast rather than that of the resolution. The scanning electron microscope is, however, capable of electrically amplifying the signal of the decreasing intensity, and also free from a chromatic aberration so that the deterioration of the image contrast due to the aberration can be prevented. The electrical improvement of the image quality can be carried out by using the fascionating features of the SEM, that is, the amplification of a weak in-put signal forming the image and the descriminating action of the heigh level signal of the background. This paper reports some of the experimental results about the thickness dependence of the observability and quality of the image in the case of the transmission SEM.

Organ doses and subjective image quality of indirect digital panoramic radiography

2001 ◽  
Vol 30 (6) ◽  
pp. 308-313 ◽  
Author(s):  
F Gijbels ◽  
G Sanderink ◽  
C Bou Serhal ◽  
H Pauwels ◽  
R Jacobs
Keyword(s):  
Image Quality ◽  
Panoramic Radiography ◽  
Organ Doses ◽  
Subjective Image Quality ◽  
Digital Panoramic Radiography

Tailoring Communications for Primary Care Settings

1998 ◽  
Vol 37 (02) ◽  
pp. 171-178 ◽  
Author(s):  
B. Glassman ◽  
B. K. Rimer
Keyword(s):  
Primary Care ◽  
Health Professionals ◽  
Contact Time ◽  
Behavioral Changes ◽  
Patient Specific ◽  
Specific Information ◽  
Medical Settings ◽  
Primary Care Settings ◽  
Professional Contact ◽  
Tailored Communications

AbstractIn more and more medical settings, physicians have less and less time to be effective communicators. To be effective, they need accurate, current information about their patients. Tailored health communications can facilitate positive patient-provider communications and foster behavioral changes conducive to health. Tailored communications (TCs) are produced for an individual based on information about that person. The focus of this report is on tailored print communications (TPCs). TPCs also enhance the process of evaluation, because they require a database and the collection of patient-specific information. We present a Tailoring Model for Primary Care that describes the steps involved in creating TPCs. We also provide examples from three ongoing studies in which TPCs are being used in order to illustrate the kinds of variables used for tailoring the products that are developed and how evaluation is conducted. TPCs offer opportunities to expand the reach of health professionals and to give personalized, individualized massages in an era of shrinking professional contact time.

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