Planar Scintigraphy Image De-Noising Using Coiflet Wavelet

Puspitasari, Ayu Jati; Ningsih, Ika Cismila; Ridwan, M.; Hamadi, H.

doi:10.17146/gnd.2021.24.2.6280

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…The results of the second test are to determine the quality of medical images using the PSNR shown in Table II. The results differ from the first test, where the greater the threshold on each wavelet, the lower the PSNR value [35,36]. This decrease in PSNR occurs in both types of medical images.…”

Section: G Bit Ratecontrasting

confidence: 63%

Comparison of the Packet Wavelet Transform Method for Medical Image Compression

Atmaja,

Triadi,

Astawa

et al. 2023

JOIV : Int. J. Inform. Visualization

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Medical images are often used for educational, analytical, and medical diagnostic purposes. Medical image data requires large amounts of storage on computers. Three types of codecs, namely Haar, Daubechies, and Biorthogonal, were used in this study. This study aims to find the best wavelet method of the three tested wavelet methods (Haar, Daubechies, and Biorthogonal). This study uses medical images representing USG and CT-scan images as testing data. The first test is carried out by comparing the threshold ratio. Three threshold values are used, namely 30, 40, and 50. The second test looks for PSNR values with different thresholds. The third test looks for a comparison of the rate (image size) to the PSSR value. The final test is to find each medical image's compression and decompression times. The first compression ratio test results on both medical images showed that CT scan images on Haar and Biorthogonal wavelets were the best, with an average compression ratio of 40.76% and a PSNR of 33.77. The PSNR obtained is also getting more significant for testing with a larger image size. The average compression time is 0.52 seconds, and the decompression time is 2.27 seconds. Based on the test results, this study recommends that the Daubechies wavelet method is very good for compression, which is 0.51 seconds, and the Biorthogonal wavelet method is very good for medical image decompression, which is 1.69 seconds.

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Section: G Bit Ratecontrasting

confidence: 63%

Comparison of the Packet Wavelet Transform Method for Medical Image Compression

Atmaja,

Triadi,

Astawa

et al. 2023

JOIV : Int. J. Inform. Visualization

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show abstract

“…Considering the resolution image, the image used is quite good, with a size of 953 × 109 pixels. The higher the image resolution or the bigger the image size, the better the image quality [33]. For all filters, the best image is produced by a filter size of 3.…”

Section: Resultsmentioning

confidence: 99%

Study of Poisson Noise Reduction on Gamma Camera Image Using Spatial Domain Filter

Puspitasari,

Karthika,

Nugrahani

et al. 2024

gnd

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A gamma camera image is produced by a gamma camera that detects the gamma radiation emitted by the radioactive substance or radiopharmaceutical injected into the body. The gamma camera image sometimes has noise that can interfere with the diagnosis. This image is commonly affected by a Poisson-type random noise. This research proposes using a spatial domain filter to study Poisson noise reduction in gamma camera images. The image sample used is the image of a mouse injected with Lu-177-DOTA Trastuzumab with 100 µCi activity detected using a dual-head gamma camera with NaI(Tl) detectors. The grayscale image is treated with Poisson noise, then improved using a spatial domain filter. The spatial domain filters used include Mean, Median, Wiener, and Spatial Lowpass Filters. The mean filter is the best one that can reduce Poisson noise among the four applied filters. The best filter size for noise reduction is 3 with MSE 5.07, PSNR 41.08 dB, and SSIM 0.99.

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Planar Scintigraphy Image De-Noising Using Coiflet Wavelet

Cited by 2 publications

References 13 publications

Comparison of the Packet Wavelet Transform Method for Medical Image Compression

Comparison of the Packet Wavelet Transform Method for Medical Image Compression

Study of Poisson Noise Reduction on Gamma Camera Image Using Spatial Domain Filter

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