Int J Comput Assist Radiol Surg - Workflow management of content-based image retrieval for CAD support in PACS environments based on IHE.

Tópicos

{ ehr(2073) health(1662) electron(1139) }
{ design(1359) user(1324) use(1319) }
{ imag(2675) segment(2577) method(1081) }
{ perform(1367) use(1326) method(1137) }
{ take(945) account(800) differ(722) }
{ howev(809) still(633) remain(590) }
{ clinic(1479) use(1117) guidelin(835) }
{ algorithm(1844) comput(1787) effici(935) }
{ case(1353) use(1143) diagnosi(1136) }
{ monitor(1329) mobil(1314) devic(1160) }
{ patient(1821) servic(1111) care(1106) }
{ medic(1828) order(1363) alert(1069) }
{ activ(1138) subject(705) human(624) }
{ model(3404) distribut(989) bayesian(671) }
{ can(774) often(719) complex(702) }
{ imag(1057) registr(996) error(939) }
{ learn(2355) train(1041) set(1003) }
{ extract(1171) text(1153) clinic(932) }
{ method(1557) propos(1049) approach(1037) }
{ data(1714) softwar(1251) tool(1186) }
{ control(1307) perform(991) simul(935) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ search(2224) databas(1162) retriev(909) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ model(2656) set(1616) predict(1553) }
{ analysi(2126) use(1163) compon(1037) }
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{ measur(2081) correl(1212) valu(896) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
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{ network(2748) neural(1063) input(814) }
{ patient(2315) diseas(1263) diabet(1191) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
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{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
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{ error(1145) method(1030) estim(1020) }
{ chang(1828) time(1643) increas(1301) }
{ concept(1167) ontolog(924) domain(897) }
{ general(901) number(790) one(736) }
{ method(984) reconstruct(947) comput(926) }
{ featur(1941) imag(1645) propos(1176) }
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{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ time(1939) patient(1703) rate(768) }
{ use(2086) technolog(871) perceiv(783) }
{ can(981) present(881) function(850) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

RPOSE: Content-based image retrieval (CBIR) bears great potential for computer-aided diagnosis (CAD). However, current CBIR systems are not able to integrate with clinical workflow and PACS generally. One essential factor in this setting is scheduling. Applied and proved with modalities and the acquisition of images for a long time, we now establish scheduling with CBIR.METHODS: Our workflow is based on the IHE integration profile 'Post-Processing Workflow' (PPW) and the use of a DICOM work list.RESULTS: We configured dcm4chee PACS and its including IHE actors for the application of CBIR. In order to achieve a convenient interface for integrating arbitrary CBIR systems, we realized an adapter between the CBIR system and PACS. Our system architecture constitutes modular components communicating over standard protocols.CONCLUSION: The proposed workflow management system offers the possibility to embed CBIR conveniently into PACS environments. We achieve a chain of references that fills the information gap between acquisition and post-processing. Our approach takes into account the tight and solid organization of scheduled and performed tasks in clinical settings.

Resumo Limpo

rpose contentbas imag retriev cbir bear great potenti computeraid diagnosi cad howev current cbir system abl integr clinic workflow pac general one essenti factor set schedul appli prove modal acquisit imag long time now establish schedul cbirmethod workflow base ihe integr profil postprocess workflow ppw use dicom work listresult configur dcmchee pac includ ihe actor applic cbir order achiev conveni interfac integr arbitrari cbir system realiz adapt cbir system pac system architectur constitut modular compon communic standard protocolsconclus propos workflow manag system offer possibl emb cbir conveni pac environ achiev chain refer fill inform gap acquisit postprocess approach take account tight solid organ schedul perform task clinic set

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