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The estimation of GFR and ERPF using adaptive edge-based active contour for the segmentation of structures in dynamic renal scintigraphy
(2015-01-01)
Suapang, Piyamas
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Dejhan, Kobchai
;
Yimman, Surapun
Dynamic renal scintigraphy is usually applied for the estimation of GFR and ERPF. The clearance of 98mTc-DTPA and 99mTc-MAGS were the relatively index of GFR and ERPF in the clinical evaluation of patients with acute and chronic renal failure using camera-based methods. In camera-based methods it is necessary to manually delineate ROIs for 99Tc-DTPA and 99m Tc-MAG3 calculation. The requirement may reduce the convenience and reliability of estimating GFR and ERPF from dynamic renal scintigraphy. This paper proposes the estimation of GFR and ERPF using adaptive edge-based active contour for the segmentation of structures in dynamic renal scintigraphy. The salient feature of proposed method is based on combining three other external force. First, the adaptive elastic parameter has been developed to automatically adjust the rigidity of the snake during its evolution towards an image contour. Second, the adaptive balloon force has been implemented to increase the GVF snake's captured range and convergence speed. Finally, a dynamic GVF force is introduced to provide an efficient evolution stop mechanism. Preliminary segmentation results demonstrate the potential of proposed method and are visually judged to be acceptable for clinical use in comparison with the original GVF snake method and manual segmentation by experts. Furthermore, the mean of estimating GFR and ERPF with the proposed method are successfully predicted and do not differ from APEX-XPERT program at the 5% level of significance.
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Medical image compression and quality assessment
(2013-01-01)
Suapang, Piyamas
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Thongyoun, Methinee
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Chivapreecha, Sorawat
In this research proposed to compressed medical images in single frame file format with two different techniques - JPEG and JPEG2000. The significant advantage of JPEG2000 over normal JPEG is that the error from JPEG2000 compression is smaller than the error from JPEG. Nevertheless, both methods share a similar mishap; when the compression ratio increases, they both generate more error than the processes on lower compression ratio do. What's more, the research proposed a neural network approach to image quality assessment. In particular, the neural network measures the quality of an image by predicting the mean opinion score (MOS) of human observers and using a set of key features extracted from the original and test images. Experimental results, using JPEG and JPEG2000 compressed images, show that the neural network outputs correlate highly with the MOS scores, and therefore, the neural network can easily serve as a correlate to subjective image quality assessment. The predicted MOS values have a linear correlation coefficient of0.9543, a Spearman ranked correlation of 0.9591.
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Morphology-based algorithm and application for mammographic masses segmentation
(2013-01-01)
Suapang, Piyamas
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Naruephai, Chadaporn
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Chivapreecha, Sorawat
Medical images segmentation is an important work for object recognition of the human organs and it is an important pre-processing step in medical image segmentation and 3D reconstruction. Conventionally, segmentation is detected according to some early brought forward algorithms such as gradient-based algorithm and template-based algorithm, but they are not so good for noise medical image segmentation. In this paper, basic morphological theory and operations are introduced at first, and then a novel morphological segmentation algorithm is proposed to detect the segment of mammographic masses with salt-And-pepper noise. The experimental results show that the proposed algorithm is more efficient for medical image denoising and segmentation than the usually used template-based segmentation algorithms and general morphological segmentation algorithms. Furthermore, the application is helpful for physician and doctors in diagnosis of the breast cancer in further steps.
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A mammography database and viewer system
(2012-12-01)
Suapang, Piyamas
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Thongyoun, Methinee
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Boontawan, Rodjarin
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Chivaprecha, Sorawat
A Mammography Database and Viewer System have collected and stored mammography images of Thai women, treated at the Radiology Department of Hospital in Rangsit, Pathumtani, Thailand, constructed a database using the digitized mammography images, and developed an image viewing system to display these digital mammograms. The images are stored with the high resolution Matrox Morphis (MOR/2VD/84*) frame grabber board. The digital mammography database is powered by MySQL and PHP. It also has a web-based search engine (with secure access) so that the information can be made accessible to all medical team members. The image viewing software, DICOM Viewer, is coded in Borland C++ Builder and is intended to help medical professionals view and retrieve large data sets in near real time. This have already digitized 200 cases (one case per patient, twenty to forty images per case). The system also have developed a MySQL-based image database, and a PHP-based web-search engine to retrieve cases that have masses (benign or malignant) or calcifications (benign or malignant). This database has been evaluated by medical professionals and the experimental results obtained so far are very promising (high image qualities, fast access time). The system are currently developing an image content-based retrieval function for the database system in order to provide improved search capability for the medical professionals. ©2012 IEEE.
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Mammographic masses segmentation based on morphology
(2012-12-01)
Suapang, Piyamas
;
Naruephai, Chadaporn
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Thongyoun, Methinee
;
Chivaprecha, Sorawat
Medical images segmentation is an important work for object recognition of the human organs and it is an important pre-processing step in medical image segmentation and 3D reconstruction. Conventionally, segmentation is detected according to some early brought forward algorithms such as gradient-based algorithm and template-based algorithm, but they are not so good for noise medical image segmentation. In this paper, basic morphological theory and operations are introduced at first, and then a novel morphological segmentation algorithm is proposed to detect the segment of mammographic masses with salt-and-pepper noise. The experimental results show that the proposed algorithm is more efficient for medical image denoising and segmentation than the usually used template-based segmentation algorithms and general morphological segmentation algorithms. ©2012 IEEE.
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Medical image processing and analysis for nuclear medicine diagnosis
(2010-12-01)
Suapang, Piyamas
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Dejhan, Kobchai
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Yimmun, Surapun
The design and implementation of Medical Image Processing and Analysis for Nuclear Medicine Diagnosis on personal computer which was developed using software such as Borland Delphi 6.0 for image processing and analysis. This research provides the following facilities: (1) DICOM viewer which can display various standard formats of digital image data both single frame, multiframes and cine loop such as DICOM, INTERFILE, BITMAP, JPEG and JPEG2000. (2) Image processing which has also the capabilities to zoom in/out and contrast/color map. (3) Image analysis which determine the pixel values in a ROI that can be set up in various forms such as rectangle, ellipse, line and polygon. Thence, Semi-auto ROI setting that sets ROI semi-automatically on region of expected disease. Additionally, more than one ROI can be set in a single image. (4) Nuclear medicine diagnosis which are more functions on nuclear medicine for renal study such as calculation of Glomerular Filtration Rate (GFR), Effective Renal Plasma Flow (ERPF), and plot of the Time Activity Curve or Renogram. Finally, This research was tested with the DICOM 3.0 standard image compared the APEX -XPERT Program. The result showed that no significant difference can be found (α= 0.05). ©ICROS.
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Medical image archiving, processing, analysis and communication system for teleradiology
(2010-12-01)
Suapang, Piyamas
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Dejhan, Kobchai
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Yimmun, Surapun
The design and implementation of Medical Image Archiving, Processing, Analysis and Communication System for Teleradiology which DICOM server was developed using software such as Borland Delphi 6.0, PHP and MySQL for image archive, image compression, image processing, image analysis and image transmission. The system provides the following facilities: (1) DICOM-format image archive. (2) Medical Image Compression. (3) DICOM viewer and Image processing, and (4) Image analysis. The results shown that (1) our system can also convert the image data both single frame and multiframes in normal or automatic DICOM process into the standard DICOM 3.0 format without altering the image data. (2) The resulting images are then compressed with two different techniques-JPEG and JPEG2000. The significant advantage of JPEG2000 over normal JPEG is that the error from JPEG2000 compression is smaller than the error from JPEG. Nevertheless, both methods share a similar mishap; when the compression ratio increases, they both generate more error than the processes on lower compression ratio. (3) our system can open single frame and multiframes such as DICOM, INTERFILE, BITMAP, JPEG and JPEG2000 each of which can exhibit information in. dcm file format with no distortion and image processing which has also the capabilities to zoom in/out and contrast/color map. And, (4) Image analysis sets ROI semi-automatically on region of expected disease based on geometric active contour model from edge of variance image and Canny edge detection. Thence, our system can calculate of Glomerular Filtration Rate (GFR), Effective Renal Plasma Flow (ERPF), and plot of the Time Activity Curve or Renogram The system has been developed and provided medical image services over long distance which showed the usefulness of our approach. ©2010 IEEE.
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A web-based integrated medical information system for telepathology
(2010-12-01)
Jongsataporn, Thitaphan
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Yimmun, Surapun
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Suapang, Piyamas
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Boontawan, Rodjarin
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Dejhan, Kobchai
The design and implementation of A Web-based Integrated Medical Information System for Telepathology which server was developed using software such as Borland C++ Builder 5.0, PHP and MySQL for image archive, image compression, image processing and image transmission. The system provides the following facilities: (1) DICOM-format image archive. (2) Medical Image Compression based on JPEG and JPEG2000. and (3) DICOM viewer. The results shown that (1) our system can also convert the image data both single frame and multiframe in normal or automatic DICOM process into the standard DICOM 3.0 format without altering the image data. (2) The resulting images are then compressed with two different techniques - JPEG and JPEG2000. The significant advantage of JPEG2000 over normal JPEG is that the error from JPEG2000 compression is smaller than the error from JPEG. Nevertheless, both methods share a similar mishap; when the compression ratio increases, they both generate more error than the processes on lower compression ratio. And (3) our system can open single frame and continuous frames, each of which can exhibit information in .dcm file format with no distortion and digital image processing based on local contrast enhancement, adaptive interpolators techniques and cine loop. The system has been developed and provided medical image services over long distance which showed the usefulness of our approach.
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A web-based DICOM-format image archive, medical image compression and DICOM viewer system for teleradiology application
(2010-01-01)
Suapang, Piyamas
;
Dejhan, Kobchai
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Yimmun, Surapun
The design and implementation of web-based DICOM-format image archive, medical image compression and DICOM viewer system for teleradiology application which DICOM server was developed using software such as Borland Delphi 6.0, PHP and MySQL for image archive, image compression, image processing and image transmission. The system provides the following facilities: (1) DICOM-format image archive. (2) Medical Image Compression based on JPEG and JPEG2000. and (3) DICOM viewer. The results shown that (1) our system can also convert the image data both single frame and multiframes in normal or automatic DICOM process into the standard DICOM 3.0 format without altering the image data. (2) The resulting images are then compressed with two different techniques - JPEG and JPEG2000. The significant advantage of JPEG2000 over normal JPEG is that the error from JPEG2000 compression is smaller than the error from JPEG. Nevertheless, both methods share a similar mishap; when the compression ratio increases, they both generate more error than the processes on lower compression ratio. And (3) our system can open single frame and multiframes, each of which can exhibit information in dcm file format with no distortion and digital image processing based on local contrast enhancement, adaptive interpolators techniques, colour transformation and cine loop. The system has been developed and provided medical image services over long distance which showed the usefulness of our approach. © 2010 SICE.
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Medical image compression and DICOM-format image archive
(2009-12-01)
Suapang, Piyamas
;
Dejhan, Kobchai
;
Yimmun, Surapun
In general, the image formats from radiological modalities are incompatible with the standard DICOM-format. Our system is developed to convert images into DICOM-format that are ready to implement in the medical teleradiological system. The system can process and record the image signal sent to the display unit in the single frame and multiframe image modes. The later mode keeps the set of images in windows bitmap file with .BMP file extension. The resulting images are then compressed with two different techniques - JPEG and JPEG2000. The significant advantage of JPEG2000 over normal JPEG is that the error from JPEG2000 compression is smaller than the error from JPEG. Nevertheless, both methods share a similar mishap; when the compression ratio increases, they both generate more error than the processes on lower compression ratio do. In addition, our system can also convert the image data in normal or automatic DICOM process into the standard DICOM 3.0 format without altering the image data. The final image data can then be used in any radiological modality. © 2009 SICE.

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