Transform-Based Denoising and Enhancement in Medical X-Ray Imaging

Til Aach

Transform-Based Denoising and Enhancement in Medical X-Ray Imaging

Til Aach

Institute of Signal Processing

Abstract

Physical and clinical constraints of the imaging process often degrade the quality of medical images. A typical case is low-dose X-ray image acquisition, where the signal-to-noise ratio is limited due to X-ray quantum noise (photon-limited imaging). This paper discusses and quantitatively evaluates spectral transform-based methods for denoising and enhancement of such images. We examine algorithms based on the DFT, the Modulated Lapped Transform (MLT) and a new lapped transform termed the Lapped Directional Transform (LDT).

Original language	English
Pages	1085-1088
Number of pages	4
Publication status	Published - 31.03.2000
Event	2000 10th European Signal Processing Conference - Tampere, Finland Duration: 04.09.2000 → 08.09.2000 Conference number: 112800

Conference

Conference	2000 10th European Signal Processing Conference
Abbreviated title	EUSIPCO 2000
Country/Territory	Finland
City	Tampere
Period	04.09.00 → 08.09.00

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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https://www.eurasip.org/Proceedings/Eusipco/Eusipco2000/SESSIONS/WEDPM/SS2/CR1943.PDF

Cite this

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title = "Transform-Based Denoising and Enhancement in Medical X-Ray Imaging",

abstract = "Physical and clinical constraints of the imaging process often degrade the quality of medical images. A typical case is low-dose X-ray image acquisition, where the signal-to-noise ratio is limited due to X-ray quantum noise (photon-limited imaging). This paper discusses and quantitatively evaluates spectral transform-based methods for denoising and enhancement of such images. We examine algorithms based on the DFT, the Modulated Lapped Transform (MLT) and a new lapped transform termed the Lapped Directional Transform (LDT).",

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N2 - Physical and clinical constraints of the imaging process often degrade the quality of medical images. A typical case is low-dose X-ray image acquisition, where the signal-to-noise ratio is limited due to X-ray quantum noise (photon-limited imaging). This paper discusses and quantitatively evaluates spectral transform-based methods for denoising and enhancement of such images. We examine algorithms based on the DFT, the Modulated Lapped Transform (MLT) and a new lapped transform termed the Lapped Directional Transform (LDT).

AB - Physical and clinical constraints of the imaging process often degrade the quality of medical images. A typical case is low-dose X-ray image acquisition, where the signal-to-noise ratio is limited due to X-ray quantum noise (photon-limited imaging). This paper discusses and quantitatively evaluates spectral transform-based methods for denoising and enhancement of such images. We examine algorithms based on the DFT, the Modulated Lapped Transform (MLT) and a new lapped transform termed the Lapped Directional Transform (LDT).

UR - https://www.scopus.com/pages/publications/84937047355

M3 - Conference Papers

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T2 - 2000 10th European Signal Processing Conference <br/>

Y2 - 4 September 2000 through 8 September 2000

ER -

Transform-Based Denoising and Enhancement in Medical X-Ray Imaging

Abstract

Conference

UN SDGs

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