Chapter title |
Rapid D-Affine Biventricular Cardiac Function with Polar Prediction
|
---|---|
Chapter number | 68 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
|
Published in |
Lecture notes in computer science, January 2014
|
DOI | 10.1007/978-3-319-10470-6_68 |
Pubmed ID | |
Book ISBNs |
978-3-31-910469-0, 978-3-31-910470-6
|
Authors |
Gilbert, Kathleen, Cowan, Brett R., Suinesiaputra, Avan, Occleshaw, Christopher, Young, Alistair A., Kathleen Gilbert, Brett R. Cowan, Avan Suinesiaputra, Christopher Occleshaw, Alistair A. Young |
Editors |
Golland, Polina, Howe, Robert, Hornegger, Joachim, Barillot, Christian, Hata, Nobuhiko |
Abstract |
Although many solutions have been proposed for left ven-tricular functional analysis of the heart, right and left (bi-) ventricular function has been problematic due to the complex geometry and large motions. Biventricular function is particularly important in congenital heart disease, the most common type of birth defects. We describe a rapid interactive analysis tool for biventricular function which incorporates 1) a 3D+ time finite element model of biventricular geometry, 2) a fast prediction step which estimates an initial geometry in a polar coordinate system, and 3) a Cartesian update which penalizes deviations from affine transformations (D-Affine) from a prior. Solution times were very rapid, enabling interaction in real time using guide point modeling. The method was applied to 13 patients with congenital heart disease and compared with the clinical gold standard of manual tracing. Results between the methods showed good correlation (R2 > 0.9) and good precision (volume < 17 ml; mass < 11g) for both chambers. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 6% |
France | 1 | 6% |
Unknown | 16 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 4 | 22% |
Student > Ph. D. Student | 4 | 22% |
Student > Master | 4 | 22% |
Researcher | 2 | 11% |
Student > Bachelor | 2 | 11% |
Other | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 28% |
Engineering | 4 | 22% |
Medicine and Dentistry | 4 | 22% |
Physics and Astronomy | 2 | 11% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Other | 1 | 6% |
Unknown | 1 | 6% |