Bibliografische Daten

Dokument US020100080434A1 (Seiten: 15)

Bibliografische Daten Dokument US020100080434A1 (Seiten: 15)
INID Kriterium Feld Inhalt
54 Titel TI [EN] Method and System for Hierarchical Parsing and Semantic Navigation of Full Body Computed Tomography Data
71/73 Anmelder/Inhaber PA SIEMENS AG, DE ; SIEMENS CORP RES INC, US
72 Erfinder IN BARBU ADRIAN, US ; CAVALLARO ALEXANDER, DE ; COMANICIU DORIN, US ; FEULNER JOHANNES, DE ; HUBER MARTIN, DE ; LIU DAVID, US ; SEIFERT SASCHA, DE ; SUEHLING MICHAEL, US ; ZHOU SHAOHUA KEVIN, US
22/96 Anmeldedatum AD 25.09.2009
21 Anmeldenummer AN 56719709
Anmeldeland AC US
Veröffentlichungsdatum PUB 01.04.2010
33
31
32
Priorität PRC
PRN
PRD
US
10035108
20080926
51 IPC-Hauptklasse ICM G06K 9/00 (2006.01)
51 IPC-Nebenklasse ICS
IPC-Zusatzklasse ICA
IPC-Indexklasse ICI
Gemeinsame Patentklassifikation CPC G06T 2207/10081
G06T 2207/20081
G06T 2207/20128
G06T 2207/30048
G06T 2207/30056
G06T 7/11
G06T 7/143
G06V 10/457
G06V 2201/03
MCD-Hauptklasse MCM G06K 9/00 (2006.01)
MCD-Nebenklasse MCS
MCD-Zusatzklasse MCA
57 Zusammenfassung AB [EN] A method and apparatus for hierarchical parsing and semantic navigation of a full or partial body computed tomography CT scan is disclosed. In particular, organs are segmented and anatomic landmarks are detected in a full or partial body CT volume. One or more predetermined slices of the CT volume are detected. A plurality of anatomic landmarks and organ centers are then detected in the CT volume using a discriminative anatomical network, each detected in a portion of the CT volume constrained by at least one of the detected slices. A plurality of organs, such as heart, liver, kidneys, spleen, bladder, and prostate, are detected in a sense of a bounding box and segmented in the CT volume, detection of each organ bounding box constrained by the detected organ centers and anatomic landmarks. Organ segmentation is via a database-guided segmentation method.
56 Entgegengehaltene Patentdokumente/Zitate,
in Recherche ermittelt
CT US000006585647B1
US020080101676A1
US020080262814A1
US020090154785A1
56 Entgegengehaltene Patentdokumente/Zitate,
vom Anmelder genannt
CT
56 Entgegengehaltene Nichtpatentliteratur/Zitate,
in Recherche ermittelt
CTNP "Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree" IEEE Transactions on Medical Imaging, Vol. 27, No. 9, September 2008, pp. 1342 - 1355. 9;
Carneiro et al. Cover Page "Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree" IEEE Transactions on Medical Imaging, Vol. 27, No. 9, September 2008. 9;
Chien-Cheng, Lee, et al. "Identifying Multiple Abdominal Organs from CT Image Series Using a Multimodule Contextual Neural Network and Spatial Fuzzy Rules." IEEE Transactions on information Technology in Biomedicine, Vol. 7, No. 3, September 2003, pp. 208-217. 9;
Tu, Zhuowen, "Probabilistic Boosting Tree: Learning discriminative models for classification, recognition, and clustering." Proceedings of the Tenth IEEE International Conference on Computer Vision, 2005. 9
56 Entgegengehaltene Nichtpatentliteratur/Zitate,
vom Anmelder genannt
CTNP
Zitierende Dokumente Dokumente ermitteln
Sequenzprotokoll
Prüfstoff-IPC ICP G06K 9/00