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

UN SDGs

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

Access to Document

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

Cite this

@conference{be82edb7e77a42d3982ce39b37b4d6db,

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).",

author = "Til Aach",

year = "2000",

month = mar,

day = "31",

language = "English",

pages = "1085--1088",

note = "2000 10th European Signal Processing Conference <br/>, EUSIPCO 2000 ; Conference date: 04-09-2000 Through 08-09-2000",

}

TY - CONF

T1 - Transform-Based Denoising and Enhancement in Medical X-Ray Imaging

AU - Aach, Til

N1 - Conference code: 112800

PY - 2000/3/31

Y1 - 2000/3/31

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/record/display.uri?eid=2-s2.0-84937047355&origin=inward&txGid=3c8e2210750fc7c8867859c9d595562f

M3 - Conference Papers

SP - 1085

EP - 1088

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

Access to Document

Other files and links

Fingerprint

Cite this