| 54 |
Title |
TI |
[EN] Method and System for Hierarchical Parsing and Semantic Navigation of Full Body Computed Tomography Data |
| 71/73 |
Applicant/owner |
PA |
SIEMENS AG, DE
;
SIEMENS CORP RES INC, US
|
| 72 |
Inventor |
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 |
Application date |
AD |
Sep 25, 2009 |
| 21 |
Application number |
AN |
56719709 |
|
Country of application |
AC |
US |
|
Publication date |
PUB |
Apr 1, 2010 |
33
31
32 |
Priority data |
PRC
PRN
PRD |
US
10035108
20080926
|
| 51 |
IPC main class |
ICM |
G06K 9/00
(2006.01)
|
| 51 |
IPC secondary class |
ICS |
|
|
IPC additional class |
ICA |
|
|
IPC index class |
ICI |
|
|
Cooperative patent classification |
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 main class |
MCM |
G06K 9/00
(2006.01)
|
|
MCD secondary class |
MCS |
|
|
MCD additional class |
MCA |
|
| 57 |
Abstract |
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 |
Cited documents identified in the search |
CT |
US000006585647B1
US020080101676A1
US020080262814A1
US020090154785A1
|
| 56 |
Cited documents indicated by the applicant |
CT |
|
| 56 |
Cited non-patent literature identified in the search |
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;
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;
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
|
| 56 |
Cited non-patent literature indicated by the applicant |
CTNP |
|
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Citing documents |
|
Determine documents
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Sequence listings |
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Search file IPC |
ICP |
G06K 9/00
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