Published 2005 | Version v1
Journal article

Nodule detection in digital chest radiography: Introduction to the radius chest trial

  • 1. Dept. of Medical Physics and Biomedical Engineering, Sahlgrenska Univ. Hospital, SE-413 45 Goeteborg (Sweden)
  • 2. Dept. of Radioloy, Sahlgrenska Univ. Hospital, SE-413 45 Goeteborg (Sweden)
  • 3. Dept. of Medical Radiation Physics, Malmoe Univ. Hospital, SE-205 02 Malmoe (Sweden)

Description

Most digital radiographic systems of today have wide latitude and are hence able to provide images with a small constraint on dose level. This opens up for an unprejudiced dose optimisation. However, in order to succeed in the optimisation task, good knowledge of the imaging and detection processes is needed. As a part of the European-wide research project 'unification of physical and clinical requirements for medical X-ray imaging - governed by the Radiological Imaging Unification Strategies (RADIUS) Group - a major image quality trial was conducted by members of the group. The RADIUS chest trial was focused on the detection of lung nodules in digital chest radiography with the aims of determining to what extent (1) the detection of a nodule is dependent on its location, (2) the system noise disturbs the detection of lung nodules, (3) the anatomical noise disturbs the detection of lung nodules and (4) the image background and anatomical background act as pure noise for the detection of lung nodules. The purpose of the present paper is to give an introduction to the trial and describe the framework and set-up of the investigation. (authors)

Availability note (English)

Available from doi: http://dx.doi.org/10.1093/rpd/nch575

Additional details

Identifiers

Publishing Information

Journal Title
Radiation Protection Dosimetry
Journal Volume
114
Journal Issue
1-3
Journal Page Range
p. 85-91
ISSN
0144-8420

Conference

Title
2. Malmoe Conference on Medical X-Ray Imaging - Optimisation strategies in medical X-ray imaging
Dates
23-25 Apr 2004
Place
Malmoe (Sweden)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
France
INIS RN
44035771
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Resource subtype / Literary indicator
Conference
Descriptors DEI
BIOMEDICAL RADIOGRAPHY; CHEST; DIAGNOSIS; HUMAN POPULATIONS; IMAGE PROCESSING; IMAGES; LUNGS; NEOPLASMS; NOISE; OPTIMIZATION; X RADIATION
Descriptors DEC
BODY; DIAGNOSTIC TECHNIQUES; DISEASES; ELECTROMAGNETIC RADIATION; IONIZING RADIATIONS; MEDICINE; NUCLEAR MEDICINE; ORGANS; POPULATIONS; PROCESSING; RADIATIONS; RADIOLOGY; RESPIRATORY SYSTEM

Optional Information

Notes
27 refs