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Automatic
Determination of
LV Orientation
from SPECT Data
Rakesh Mullick
Norberto F. Ezquerra
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Abstract
This paper presents a new method to determine the
orientation or pose of the left ventricle (LV) of the
heart from cardiac SPECT (Single Photon Emission
Computed Tomography) data. This proposed approach
offers an accurate, fast, and robust delineation
of the LV long-axis. The location and shape of the
generated long-axis can then be utilized to define
automatically the tomographic slices for enhanced
visualization and quantification of the clinical data.
The methodology is broadly composed of two main
steps:
1) volume segmentaion of cardiac SPECT data
2) topological goniometry,
a novel approach incorporating volume visualization and
computer graphics ideas to determine the overall shape
of 3-D objects. The outcome of the algorithm is a 3-D
curve representing the overall pose of the LV
long-axis. Experimental results on both phantom
and clinical data (50 Technetium-99m and 74
Thallium-201) are presented in this paper. An
interactive graphical interface to visualize the volume
(3-D) data, the left ventricle, and its pose is an
integral part of the overall methodology. This
technique is completely data driven and expeditious,
making it viable for routine clinical use.
IEEE Transactions on Medical Imaging,
Vol. 14, No. 1, March 1995
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