Three-dimensional (3-D) imaging of the heart is a rapidly del eloping area
of research in medical imaging, Advances in hardware and methods for fast s
patio-temporal cardiac imaging are extending the frontiers of clinical diag
nosis and research on cardiovascular diseases.
In the last few Sears, many approaches hare been proposed to analyze images
and extract parameters of cardiac shape and function from a variety of car
diac imaging modalities. In particular, techniques based on spatio-temporal
geometric models have received considerable attention. This paper surveys
the literature of tno decades of research on cardiac modeling. The contribu
tion of the paper is three-fold: 1) to serve as a tutorial of the field for
both clinicians and technologists, 2) to provide an extensive account of m
odeling techniques in a comprehensive and systematic manner, and 3) to crit
ically review these approaches in terms of their performance and degree of
clinical evaluation with respect to the final goal of cardiac functional an
alysis, From this review it is concluded that whereas 3-D model-based appro
aches have the capability. to improve the diagnostic value of cardiac image
s, issues as robustness, 3-D interaction, computational complexity and clin
ical validation still require significant attention.