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1. (WO2017156329) ULTRASOUND IMAGE RECOGNITION SYSTEMS AND METHODS UTILIZING AN ARTIFICIAL INTELLIGENCE NETWORK
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Pub. No.: WO/2017/156329 International Application No.: PCT/US2017/021668
Publication Date: 14.09.2017 International Filing Date: 09.03.2017
IPC:
A61B 8/00 (2006.01) ,A61B 8/08 (2006.01) ,G06F 19/00 (2011.01) ,G06K 9/20 (2006.01) ,G06K 9/32 (2006.01) ,G06K 9/46 (2006.01) ,G06K 9/66 (2006.01)
[IPC code unknown for A61B 8][IPC code unknown for A61B 8/08][IPC code unknown for G06F 19][IPC code unknown for G06K 9/20][IPC code unknown for G06K 9/32][IPC code unknown for G06K 9/46][IPC code unknown for G06K 9/66]
Applicants:
ECHONOUS, INC. [US/US]; 8310 154th Avenue Northeast Building B Redmond, Washington 98052, US
Inventors:
PAGOULATOS, Nikolaos; US
PAILOOR, Ramachandra; US
GOODWIN, Kevin; US
Agent:
COE, Justin, E.; US
OBEIDAT, Baha, A.; US
KUMABE, Blake, K.; US
SOLTANI, Bobby, B.; US
SARGEANT, Brooke; US
QUIST, Brooke, W.; US
ROTH, Carol, J.; US
O'BRIEN, Daniel; US
CARLSON, David, V.; US
STARK, Duncan; US
TARLETON, E., Russell; US
SUN, Eileen, S.; US
HARWOOD, Eric, A.; US
ABRAMONTE, Frank; US
HAN, Hai; US
TALBERT, Hayley, J.; US
CARTER, James, J.; US
WHITE, James, A. D.; US
BARRETT, Jared, M.; US
PEPE, Jeffrey, C.; US
DANLEY, Jeffrey, E.; US
SAKOI, Jeffrey, M.; US
BAUNACH, Jeremiah, J.; US
KARLEN, John, R.; US
MORGAN, John, A.; US
WAKELEY, John, J.; US
HENCKEL, Karen, M.; US
HEFTER, Karl, A.; US
HERMANNS, Karl, R.; US
MORGAN, Kevan, L.; US
COSTANZA, Kevin, S.; US
LINFORD, Lorraine; US
COOPER, Michael, P.; US
RUSYN, Paul; US
LIN, Qing; US
HALLER, Rachel, A.; US
IANNUCCI, Robert; US
KOVELMAN, Robert, L.; US
WEBB, Samuel, E.; US
LEEK, Shoko, I.; US
ROSENMAN, Stephen, J.; US
ABEDI, Syed; US
SATAGAJ, Thomas, J.; US
BOLLER, Timothy, L.; US
LIGON, Toby, J.; US
FERRON, William, O., Jr.; US
Priority Data:
62/305,98009.03.2016US
62/313,60125.03.2016US
Title (EN) ULTRASOUND IMAGE RECOGNITION SYSTEMS AND METHODS UTILIZING AN ARTIFICIAL INTELLIGENCE NETWORK
(FR) SYSTÈMES ET PROCÉDÉS DE RECONNAISSANCE D'IMAGES ULTRASONORES METTANT EN ŒUVRE UN RÉSEAU D'INTELLIGENCE ARTIFICIELLE
Abstract:
(EN) Ultrasound image recognition systems and methods, and artificial intelligence training networks for such systems and methods, are provided. An ultrasound data information system includes an ultrasound image recognition training network that is configured to receive ultrasound training images and to develop ultrasound image knowledge based on the received ultrasound training images. An ultrasound imaging device acquires ultrasound images of a patient, and the device includes an ultrasound image recognition module. The ultrasound image recognition module is configured to receive the ultrasound image knowledge, receive the acquired ultrasound images from the ultrasound imaging device, and determine, based on the ultrasound image knowledge, whether the received ultrasound images represent a clinically desirable view of an organ or whether the clinically desirable views indicate normal function or a particular pathology. The received ultrasound images are transmitted to the ultrasound image recognition training network for further training and development of updated ultrasound image knowledge.
(FR) L'invention concerne des systèmes et des procédés de reconnaissance d'images ultrasonores, et des réseaux d'apprentissage d'intelligence artificielle pour de tels systèmes et procédés. Un système d'informations de données ultrasonores comprend un réseau d'apprentissage de reconnaissance d'images ultrasonores qui est configuré pour recevoir des images d'apprentissage ultrasonore et pour développer une connaissance d'images ultrasonores sur la base des images d'apprentissage ultrasonore reçues. Un dispositif d'imagerie ultrasonore acquiert des images ultrasonores d'un patient, et le dispositif comprend un module de reconnaissance d'images ultrasonores. Le module de reconnaissance d’images ultrasonores est configuré pour recevoir les connaissances d’images ultrasonores, pour recevoir les images ultrasonores acquises provenant du dispositif d’imagerie ultrasonore, et pour déterminer, sur la base des connaissances d’images ultrasonores, si les images ultrasonores reçues représentent une vue cliniquement souhaitable d’un organe ou si les vues cliniquement souhaitables indiquent un fonctionnement normal ou une pathologie particulière. Les images ultrasonores reçues sont transmises au réseau d'apprentissage de reconnaissance d'images ultrasonores pour un apprentissage et un développement supplémentaires des connaissances d'images ultrasonores mises à jour.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)