Atlas-based segmentation of bone structures to support the virtual planning of hip operations.
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Atlas-based segmentation of bone structures to support the virtual planning of hip operations. / Ehrhardt, Jan; Handels, H; Malina, T; Strathmann, B; Plötz, W; Pöppl, S J.
in: INT J MED INFORM, Jahrgang 64, Nr. 2-3, 2-3, 2001, S. 439-447.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Atlas-based segmentation of bone structures to support the virtual planning of hip operations.
AU - Ehrhardt, Jan
AU - Handels, H
AU - Malina, T
AU - Strathmann, B
AU - Plötz, W
AU - Pöppl, S J
PY - 2001
Y1 - 2001
N2 - Two 3-D digitised atlases of a female and a male pelvis were generated to support the virtual 3-D planning of hip operations. The anatomical atlases were designed to replace the interactive, time-consuming pre-processing steps for the virtual operation planning. Each atlas consists of a labelled reference CT data set and a set of anatomical point landmarks. The paper presents methods for the automatic transfer of these anatomical labels to an individual patient data set. The labelled patient data are used to generate 3-D models of the patient's bone structures. Besides the anatomical labelling, the determination of measures, like angles, distances or sizes of contact areas, is important for the planning of hip operations. Thus, algorithms for the automatic computation of orthopaedic parameters were implemented. A first evaluation of the presented atlas-based segmentation method shows a correct labelling of 98.5% of the bony voxels.
AB - Two 3-D digitised atlases of a female and a male pelvis were generated to support the virtual 3-D planning of hip operations. The anatomical atlases were designed to replace the interactive, time-consuming pre-processing steps for the virtual operation planning. Each atlas consists of a labelled reference CT data set and a set of anatomical point landmarks. The paper presents methods for the automatic transfer of these anatomical labels to an individual patient data set. The labelled patient data are used to generate 3-D models of the patient's bone structures. Besides the anatomical labelling, the determination of measures, like angles, distances or sizes of contact areas, is important for the planning of hip operations. Thus, algorithms for the automatic computation of orthopaedic parameters were implemented. A first evaluation of the presented atlas-based segmentation method shows a correct labelling of 98.5% of the bony voxels.
M3 - SCORING: Zeitschriftenaufsatz
VL - 64
SP - 439
EP - 447
IS - 2-3
M1 - 2-3
ER -
