TY - JOUR
T1 - Impromptu
T2 - a system for automatic 3D medical image-analysis
AU - Sundaramoorthy, Gopal
AU - Hoford, John D.
AU - Hoffman, Eric A.
AU - Higgins, William E.
N1 - Funding Information:
AcknowleciKments-This work was supported in part by NIH grants CA-53607. HL-42672, and HL-43286. The 3D cardiac images were provided by Drs. Erik Ritman and Namsik Chung of The Mayo Clinic, Rochester, MN. The authors thank Doug Castor, Mike Han-sen, Brian Ledell, Eric Ojard, Joe Reinhardt, and Werner Sharp for their efforts in contributing to VIPLIB. Portions of this manuscript appeared in the conference publication (19).
PY - 1995
Y1 - 1995
N2 - The utility of three-dimensional (3D) medical imaging is hampered by difficulties in extracting anatomical regions and making measurements in 3D images. Presently, a user is generally forced to use time-consuming, subjective, manual methods, such as slice tracing and region painting, to define regions of interest. Automatic image-analysis methods can ameliorate the difficulties of manual methods. This paper describes a graphical user interface (GUI) system for constructing automatic image-analysis processes for 3D medical-imaging applications. The system, referred to as IMPROMPTU, provides a user-friendly environment for prototyping, testing and executing complex image-analysis processes. IMPROMPTU can stand alone or it can interact with an existing graphics-based 3D medical image-analysis package (VIDA), giving a strong environment for 3D image-analysis, consisting of tools for visualization, manual interaction, and automatic processing. IMPROMPTU links to a large library of 1D, 2D, and 3D image-processing functions, referred to as VIPLIB, but a user can easily link in custom-made functions. 3D applications of the system are given for left-ventricular chamber, myocardial, and upper-airway extractions.
AB - The utility of three-dimensional (3D) medical imaging is hampered by difficulties in extracting anatomical regions and making measurements in 3D images. Presently, a user is generally forced to use time-consuming, subjective, manual methods, such as slice tracing and region painting, to define regions of interest. Automatic image-analysis methods can ameliorate the difficulties of manual methods. This paper describes a graphical user interface (GUI) system for constructing automatic image-analysis processes for 3D medical-imaging applications. The system, referred to as IMPROMPTU, provides a user-friendly environment for prototyping, testing and executing complex image-analysis processes. IMPROMPTU can stand alone or it can interact with an existing graphics-based 3D medical image-analysis package (VIDA), giving a strong environment for 3D image-analysis, consisting of tools for visualization, manual interaction, and automatic processing. IMPROMPTU links to a large library of 1D, 2D, and 3D image-processing functions, referred to as VIPLIB, but a user can easily link in custom-made functions. 3D applications of the system are given for left-ventricular chamber, myocardial, and upper-airway extractions.
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U2 - 10.1016/0895-6111(94)00042-5
DO - 10.1016/0895-6111(94)00042-5
M3 - Article
C2 - 7736412
AN - SCOPUS:0028913288
SN - 0895-6111
VL - 19
SP - 131
EP - 143
JO - Computerized Medical Imaging and Graphics
JF - Computerized Medical Imaging and Graphics
IS - 1
ER -