Published October 2005 | Version v1
Journal article

Cardiac cone-beam CT

  • 1. University of London (King's College) (United Kingdom)

Description

This doctoral thesis addresses imaging of the heart with retrospectively gated helical cone-beam computed tomography (CT). A thorough review of the CT reconstruction literature is presented in combination with a historic overview of cardiac CT imaging and a brief introduction to other cardiac imaging modalities. The thesis includes a comprehensive chapter about the theory of CT reconstruction, familiarizing the reader with the problem of cone-beam reconstruction. The anatomic and dynamic properties of the heart are outlined and techniques to derive the gating information are reviewed. With the extended cardiac reconstruction (ECR) framework, a new approach is presented for the heart-rate-adaptive gated helical cardiac cone-beam CT reconstruction. Reconstruction assessment criteria such as the temporal resolution, the homogeneity in terms of the cardiac phase, and the smoothness at cycle-to-cycle transitions are developed. Several reconstruction optimization approaches are described: An approach for the heart-rate-adaptive optimization of the temporal resolution is presented. Streak artifacts at cycle-to-cycle transitions can be minimized by using an improved cardiac weighting scheme. The optimal quiescent cardiac phase for the reconstruction can be determined automatically with the motion map technique. Results for all optimization procedures applied to ECR are presented and discussed based on patient and phantom data. The ECR algorithm is analyzed for larger detector arrays of future cone-beam systems throughout an extensive simulation study based on a four-dimensional cardiac CT phantom. The results of the scientific work are summarized and an outlook proposing future directions is given. The presented thesis is available for public download at www.cardiac-ct.net

Additional details

Identifiers

Publishing Information

Journal Title
Medical Physics
Journal Volume
32
Journal Issue
10
Journal Page Range
p. 3227
ISSN
0094-2405
CODEN
MPHYA6

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
37037840
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ALGORITHMS; COMPUTERIZED TOMOGRAPHY; HEART; IMAGE PROCESSING; IMAGES; OPTIMIZATION; PHANTOMS; SPATIAL RESOLUTION
Descriptors DEC
BODY; CARDIOVASCULAR SYSTEM; DIAGNOSTIC TECHNIQUES; MATHEMATICAL LOGIC; MOCKUP; ORGANS; PROCESSING; RESOLUTION; STRUCTURAL MODELS; TOMOGRAPHY

Optional Information

Notes
(c) 2005 American Association of Physicists in Medicine