Nuclear Medicine Image Data Easy Transfer Via E-Mail

1999 ◽  
pp. 531-534
Author(s):  
M. Lyra ◽  
K. Skouroliakou ◽  
I. Stratis
Keyword(s):  
Nuclear Medicine ◽  
Image Data ◽  
E Mail

The Value of Data Mining Technology in the Diagnosis of Bone Metastases from Prostate Cancer Based on Nuclear Medicine Image

2020 ◽  
Vol 10 (7) ◽  
pp. 1660-1668
Author(s):  
Lingmei Wu ◽  
Yan Wei ◽  
Qingyun Wang ◽  
Shuanmeng Ji
Keyword(s):  
Prostate Cancer ◽  
Data Mining ◽  
Nuclear Medicine ◽  
Bone Metastasis ◽  
Image Data ◽  
Background Information ◽  
Imaging Features ◽  
Imaging Data ◽  
Nuclear Medicine Imaging ◽  
Mining Technology

With the continuous development of information construction in the medical industry, a large amount of data related to bone metastasis of prostate cancer can be found in the medical database. It includes a large number of inspection indicators, medical images, and background information such as gender, age, height, weight, and previous medical history. The content is very rich and detailed. The nuclear medicine image processing technology and data mining technology are organically combined to study the feature extraction and loading method of nuclear medicine image data, and the classification method of medical image data, thereby assisting doctors in decision-making diagnosis process and improving accuracy. These have important theoretical significance and broad application prospects. Therefore, based on the nuclear medicine imaging data, this study utilized data mining technology to analyse the nuclear medical imaging data of prostate cancer bone metastasis, and finds and summarizes the imaging features and developmental rules of prostate cancer bone metastasis. So, a BP neural network diagnosis matrix for prostate cancer bone metastasis was constructed. This is valuable and meaningful for the diagnosis, treatment and even medical research of bone metastasis of prostate cancer.

The derivation and verification of a non-stationary, optimal smoothing filter for nuclear medicine image data

1990 ◽  
Vol 35 (12) ◽  
pp. 1641-1662 ◽  
Author(s):  
D M Hull ◽  
C S Peskin ◽  
A M Rabinowitz ◽  
J P Wexler ◽  
M D Blaufox
Keyword(s):  
Nuclear Medicine ◽  
Image Data ◽  
Smoothing Filter ◽  
Optimal Smoothing

Graph-Based Spam Image Detection for Mobile Phone Spam Image Filtering

2015 ◽  
Vol 3 (4) ◽  
pp. 72-86
Author(s):  
So Yeon Kim ◽  
Kyung-Ah Sohn
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
Clustering Algorithms ◽  
Image Data ◽  
Training Data ◽  
Spam Filtering ◽  
Visual Words ◽  
Image Descriptors ◽  
Image Spam ◽  
E Mail

Spam images in mobile phones have increasingly appeared these days. As the spam filtering systems become more sophisticated, spams are being more intelligent. Although detection of email-spams has been quite successful, there have not been effective solutions for detecting mobile phone spams yet, especially, spam images. In addition to the expensive image processing time, insufficient spam image data in mobile phones makes it challenging to train a general model. To address this issue, the authors propose a graph-based approach that utilizes graph structure in abundant e-mail spam dataset. The authors employ different clustering algorithms to find a subset of e-mail spam images similar to phone spam images. Furthermore, the performance behavior with respect to different image descriptors of Pyramid Histogram of Visual Words (PHOW) and RGB histogram is extensively investigated. The authors' results highlight that the proposed idea is fairly meaningful in increasing training data size, thus effectively improving image spam detection performance.

scholarly journals Redundant array of independent disks: Practical on-line archiving of nuclear medicine image data

1996 ◽  
Vol 9 (1) ◽  
pp. 37-38
Author(s):  
James L. Lear ◽  
Jonathan P. Pratt ◽  
Nelson Trujillo
Keyword(s):  
Nuclear Medicine ◽  
Image Data ◽  
On Line

Abstract 105: Transferring Images via the Wireless Messaging Network using Camera Phones Shortens Time Required to Diagnose Acute Coronary Syndrome

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Masashi Ohtsuka ◽  
Eiji Uchida ◽  
Toru Nakajima ◽  
Hiroyuki Yamaguchi ◽  
Hiroyuki Takano ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Image Data ◽  
Image Transmission ◽  
Camera Phone ◽  
Coronary Syndrome ◽  
Camera Phones ◽  
Student’S T ◽  
Time Required ◽  
To Receive ◽  
E Mail

The speed at which reperfusion treatment can begin is critical in cases of acute coronary syndrome. Electrocardiograms (ECG) are used to make the diagnosis. In the absence of a cardiologist in the emergency room (ER), the ECG image data must be sent to a cardiologist on stand-by outside the hospital. Up until now, ECG images were sent from the hospital to the cardiologist by fax, but if a fax machine is not readily available to the cardiologist, they must look for one in order to receive the image data. More recently, camera phones have become very advanced and are able to send and receive high quality images by e-mail. In this study, we examined whether sending ECG images to a cardiologist by camera phone was more efficient than by fax. ECG images were taken of 20 patients suspected to have acute coronary syndrome. Patients were divided alternately into two groups of ten patients each; the F group and the CP group. The F group’s ECG images were sent to a cardiologist by fax (n=10) and the CP group’s ECG images were sent by camera phone (n=10). We measured the time taken in transmitting the images from the ER to a cardiologist, the time taken to analyze that image and the total time elapsed from image transmission to diagnosis by the cardiologist. All data presented are mean±SD. Group comparisons were based on the Student’s t-test. The amount of time taken in transmitting the images from the ER to the cardiologist was longer in the F group (163.8±5.1 sec) than that taken by the CP group (71.5±4.6 sec). However, the amount of time taken by the cardiologist to analyze those images was shorter in the F group (12.9±1.8 sec) than that of the CP group (24.1±4.3 sec). Total time elapsed from image transmission to diagnosis was shorter in the CP group (95.6 ± 8.4 sec) than that of the F group (176.7 ± 4.9 sec). In conclusion, using camera phones to transmit ECG images to the cardiologist shortens the time taken to diagnose acute coronary syndrome. Furthermore, camera phones are more advantageous in regards to availability and cost in comparison to fax machines because of the recent popularization of camera phones. Therefore, image transmission by camera phones is more efficient in sending image data to a cardiologist than by fax.

A file format for the exchange of nuclear medicine image data

1992 ◽  
Vol 13 (9) ◽  
pp. 673-699 ◽  
Author(s):  
A. TODD-POKROPEK ◽  
T. D. CRADDUCK ◽  
F. DECONINCK
Keyword(s):  
Nuclear Medicine ◽  
Image Data ◽  
File Format

A DICOM based PACS for nuclear medicine

2002 ◽  
Vol 41 (01) ◽  
pp. 52-60 ◽  
Author(s):  
Chr. Reiners ◽  
M. Laßmann
Keyword(s):  
Information System ◽  
Nuclear Medicine ◽  
Image Data ◽  
Medicine Department ◽  
Nuclear Medicine Department ◽  
Patient Demographics ◽  
Private Practitioners ◽  
Worldwide Web ◽  
Software Implementations ◽  
The University

SummaryThe installation of a Radiology Information System (RIS) connected to a Hospital Information System (HIS) and a Picture Archiving and Communications System (PACS) seems mandatory for a nuclear medicine department in order to guarantee a high patient throughput. With these systems a fast transmission of reports, images to the in- and out-patients’ wards and private practitioners is realized. Therefore, since April 2000, at the department of nuclear medicine of the university of Würzburg a completely DICOM based PACS has been implemented in addition to the RIS.With this system a DICOM based workflow is realized throughout the department of nuclear medicine for reporting and archiving.The PACS is connected to six gamma-cameras, a PET scanner, a bone densitometry system and an ultrasound device. The volume of image data archived per month is 4 GByte. Patient demographics are provided to the modalities via DICOM-Worklist. With these PACS components a department specific archive purely based on DICOM can be realized. During the installation process problems occurred mainly because of the complex DICOM standard for nuclear medicine. Related to that is the problem that most of the software implementations still contain bugs or are not adapted to the needs of a nuclear medicine department (particularly for PET).A communication software for the distribution of nuclear medicine reports and images based on techniques used for the worldwide web is currently tested.

Simple and low-cost tele-nuclear medicine conference system with the e-mail protocol

2001 ◽  
Vol 15 (5) ◽  
pp. 465-470 ◽  
Author(s):  
Hiroshi Toyama ◽  
Yutaka Emoto ◽  
Kiyonobu Ito ◽  
Shinji Mizuno ◽  
Ichiro Ohashi ◽  
...  
Keyword(s):  
Nuclear Medicine ◽  
Low Cost ◽  
E Mail ◽  
Conference System

Dynamical Scattering in Crystalline Biological Specimens. I. Criteria of Validity for Scattering Approximations

1975 ◽  
Vol 33 ◽  
pp. 192-193
Author(s):  
Robert M. Glaeser ◽  
Bing K. Jap
Keyword(s):  
Biological Sciences ◽  
Electron Microscopy ◽  
Electron Microscope ◽  
Electron Diffraction ◽  
Born Approximation ◽  
Materials Science ◽  
Image Data ◽  
Dynamical Effect ◽  
Crystallographic Structure ◽  
Electron Microscope Image

The dynamical scattering effect, which can be described as the failure of the first Born approximation, is perhaps the most important factor that has prevented the widespread use of electron diffraction intensities for crystallographic structure determination. It would seem to be quite certain that dynamical effects will also interfere with structure analysis based upon electron microscope image data, whenever the dynamical effect seriously perturbs the diffracted wave. While it is normally taken for granted that the dynamical effect must be taken into consideration in materials science applications of electron microscopy, very little attention has been given to this problem in the biological sciences.

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