LANDMARK DETECTION WITH SPATIAL AND TEMPORAL CONSTRAINTS IN MEDICAL IMAGING

LANDMARK DETECTION WITH SPATIAL AND TEMPORAL CONSTRAINTS IN MEDICAL IMAGING

Anatomy, such as papillary muscle, is automatically detected (34) and/or detected in real-time. For automatic detection (34) of small anatomy, machine-learnt classification with spatial (32) and temporal (e.g., Markov) (34) constraints is used. For real-time detection, sparse machine-learnt detectio...

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Bibliographische Detailangaben
Hauptverfasser: HOULE, Helene C, TATPATI, Anand Vinod, GEORGESCU, Bogdan, MANSI, Tommaso, SCUTARU, Mihai, COMANICIU, Dorin, VOIGT, Ingmar, IONASEC, Razvan, EL-ZEHIRY, Noha Youssry
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Zusammenfassung:Anatomy, such as papillary muscle, is automatically detected (34) and/or detected in real-time. For automatic detection (34) of small anatomy, machine-learnt classification with spatial (32) and temporal (e.g., Markov) (34) constraints is used. For real-time detection, sparse machine-learnt detection (34) interleaved with optical flow tracking (38) is used.