ACCURATUM: improved calcium volume scoring using a mesh-based algorithm - a phantom study
Creators
- 1. Computer Vision Laboratory, ETH Zurich, Zurich (Switzerland)
- 2. University Hospital Zurich, Department of Medical Radiology, Institute of Diagnostic Radiology, Zurich (Switzerland)
- 3. University Hospital Zurich, Institute of Diagnostic Radiology, Zurich (Switzerland)
- 4. University of Basel, CMBE, Basel (Switzerland)
Description
To overcome the limitations of the classical volume scoring method for quantifying coronary calcifications, including accuracy, variability between examinations, and dependency on plaque density and acquisition parameters, a mesh-based volume measurement method has been developed. It was evaluated and compared with the classical volume scoring method for accuracy, i.e., the normalized volume (measured volume/ground-truthed volume), and for variability between examinations (standard deviation of accuracy). A cardiac computed-tomography (CT) phantom containing various cylindrical calcifications was scanned using different tube voltages and reconstruction kernels, at various positions and orientations on the CT table and using different slice thicknesses. Mean accuracy for all plaques was significantly higher (p<0.0001) for the proposed method (1.220±0.507) than for the classical volume score (1.896±1.095). In contrast to the classical volume score, plaque density (p=0.84), reconstruction kernel (p=0.19), and tube voltage (p=0.27) had no impact on the accuracy of the developed method. In conclusion, the method presented herein is more accurate than classical calcium scoring and is less dependent on tube voltage, reconstruction kernel, and plaque density. (orig.)
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00330-008-1181-9Additional details
Identifiers
Publishing Information
- Journal Title
- European Radiology
- Journal Volume
- 19
- Journal Issue
- 3
- Journal Page Range
- p. 591-598
- ISSN
- 0938-7994
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 40031201
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ALGORITHMS; COMPUTERIZED TOMOGRAPHY; CORONARIES; PHANTOMS; VASCULAR DISEASES
- Descriptors DEC
- ARTERIES; BLOOD VESSELS; BODY; CARDIOVASCULAR SYSTEM; DIAGNOSTIC TECHNIQUES; DISEASES; MATHEMATICAL LOGIC; MOCKUP; ORGANS; STRUCTURAL MODELS; TOMOGRAPHY