SG11201808890SA - Method and apparatus for generating quantitative data for biliary tree structures - Google Patents
Method and apparatus for generating quantitative data for biliary tree structuresInfo
- Publication number
- SG11201808890SA SG11201808890SA SG11201808890SA SG11201808890SA SG11201808890SA SG 11201808890S A SG11201808890S A SG 11201808890SA SG 11201808890S A SG11201808890S A SG 11201808890SA SG 11201808890S A SG11201808890S A SG 11201808890SA SG 11201808890S A SG11201808890S A SG 11201808890SA
- Authority
- SG
- Singapore
- Prior art keywords
- quantitative
- data
- international
- tubular
- scan data
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/42—Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems
- A61B5/4222—Evaluating particular parts, e.g. particular organs
- A61B5/4244—Evaluating particular parts, e.g. particular organs liver
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/12—Edge-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/162—Segmentation; Edge detection involving graph-based methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2576/00—Medical imaging apparatus involving image processing or analysis
- A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/04—Indexing scheme for image data processing or generation, in general involving 3D image data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10064—Fluorescence image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10068—Endoscopic image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30056—Liver; Hepatic
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30172—Centreline of tubular or elongated structure
Abstract
INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property -, Organization 111111110111101110101011111 HO 111110111010 HEM 01110111111111011110111111 International Bureau .. .... ..Yejd (10) International Publication Number (43) International Publication Date .... ...,,, WO 2017/178226 Al 19 October 2017(19.10.2017) WIPO I PCT (51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every G06T 7/00 (2017.01) GO6T 7/162 (2017.01) kind of national protection available): AE, AG, AL, AM, G06T 7/12 (2017.01) 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, (21) International Application Number: DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, PCT/EP2017/057302 HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KH, KN, (22) International Filing Date: KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, 28 March 2017 (28.03.2017) MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, (25) Filing Language: English RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, (26) Publication Language: English TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (30) Priority Data: 1606282.0 12 April 2016 (12.04.2016) GB (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (71) Applicant: PERSPECTUM DIAGNOSTICS LTD GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, [GB/GB]; Oxford Centre for Innovation, New Road, Ox- TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, ford Oxfordshire OX1 1BY (GB). TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, (72) Inventors; and DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, (71) LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, Applicants (for US only): VIKAL, Siddharth [IN/GB]; Flat 2, 169 Oxford Road, Kidlington, Oxford Oxfordshire SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, OX5 2NU (GB). BRADY, John Michael [GB/GB]; 23 GW, KM, ML, MR, NE, SN, TD, TG). — Sandfield Road, Oxford OX3 7RN (GB). Declarations under Rule 4.17: — Agent: TRELEVEN, Colin; Optimus Patents Limited, — as to applicant's entitlement to apply for and be granted a (74) Peak Hill House, Steventon, Hampshire RG25 3AZ (GB). patent (Rule 4.1700) = [Continued on next page] = METHOD AND APPARATUS FOR GENERATING QUANTITATIVE DATA FOR BILIARY TREE STRUCTURES = (54) Title: = for generating quantitative data for biliary tree struc (57) : A method (200) and apparatus (1100) 200 = = \I tures from volumetric medical imaging scan data. The method comprises performing segmentation (230; 210 -\-77p t 220 V 300) of a volume of the medical imaging scan data to identify tubular biliary structures within the volume of the medical imaging scan data; for at least one seg- mented tubular biliary structure within the volume of the medical imaging scan data, computing (240; 800) Load MRCP volumetric scan data = V Perform segmentation of MRCP scan data to identify tubular structures 230 at least one set of quantitative structural parameters for at least one location along the length of the tubular bil- iarystructure; and outputting (250) quantitative biliary tree data comprising the at least one set of quantitative = V = 240 Perform parametric modelling of identified tubular structural parameters for the at least one segmented tu- structures to generate quantitative structural bular biliary structure. parameters for the identified tubular structure 1-1 250 I Output quantitative biliary tree data comprising the ei ei cc IN generated quantitative structural parameters. 160 \._ Er c;D i ,-1 - .... IN ,-1 FIG. 2 © ei O WO 2017/178226 Al 1#11101M0111111E1111OIDE0M01011101011011101110VOIS Published: — with international search report (Art. 21(3))
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB1606282.0A GB2549459B (en) | 2016-04-12 | 2016-04-12 | Method and apparatus for generating quantitative data for biliary tree structures |
PCT/EP2017/057302 WO2017178226A1 (en) | 2016-04-12 | 2017-03-28 | Method and apparatus for generating quantitative data for biliary tree structures |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201808890SA true SG11201808890SA (en) | 2018-11-29 |
Family
ID=58428293
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201808890SA SG11201808890SA (en) | 2016-04-12 | 2017-03-28 | Method and apparatus for generating quantitative data for biliary tree structures |
Country Status (14)
Country | Link |
---|---|
US (1) | US10846847B2 (en) |
EP (1) | EP3443533B1 (en) |
JP (1) | JP6961614B2 (en) |
CN (1) | CN109155063B (en) |
AU (1) | AU2017249265B2 (en) |
CA (1) | CA3020788C (en) |
ES (1) | ES2914779T3 (en) |
GB (1) | GB2549459B (en) |
MY (1) | MY188518A (en) |
NZ (1) | NZ748167A (en) |
PL (1) | PL3443533T3 (en) |
PT (1) | PT3443533T (en) |
SG (1) | SG11201808890SA (en) |
WO (1) | WO2017178226A1 (en) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA3067824A1 (en) * | 2017-06-26 | 2019-01-03 | The Research Foundation For The State University Of New York | System, method, and computer-accessible medium for virtual pancreatography |
CN111105873B (en) * | 2019-12-24 | 2023-03-24 | 武汉大学 | Auxiliary diagnosis and measurement method and system in endoscopic retrograde cholangiopancreatography |
GB202001914D0 (en) * | 2020-02-12 | 2020-03-25 | Kings College | Apparatus and method for image processing |
CN116546916A (en) * | 2020-09-01 | 2023-08-04 | 纽约州立大学研究基金会 | System and method for virtual pancreatic radiography pipeline |
CN113469941B (en) * | 2021-05-27 | 2022-11-08 | 武汉楚精灵医疗科技有限公司 | Method for measuring width of bile-pancreatic duct in ultrasonic bile-pancreatic duct examination |
CN115944276A (en) * | 2023-02-22 | 2023-04-11 | 武汉大学人民医院(湖北省人民医院) | Common bile duct fibrosis grade determining method and device and related equipment |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1709589B1 (en) * | 2004-01-15 | 2013-01-16 | Algotec Systems Ltd. | Vessel centerline determination |
WO2007002562A2 (en) * | 2005-06-24 | 2007-01-04 | Edda Technology, Inc. | Methods for interactive liver disease diagnosis |
EP1938271A2 (en) * | 2005-10-21 | 2008-07-02 | The General Hospital Corporation | Methods and apparatus for segmentation and reconstruction for endovascular and endoluminal anatomical structures |
WO2009022283A1 (en) * | 2007-08-16 | 2009-02-19 | Koninklijke Philips Electronics N. V. | Imaging method for sampling a cross-section plane in a three-dimensional (3d) image data volume |
EP2429399A4 (en) * | 2009-03-06 | 2013-04-10 | Bio Tree Systems Inc | Vascular analysis methods and apparatus |
US9280822B2 (en) * | 2009-05-08 | 2016-03-08 | Edda Technology, Inc. | Method, system, apparatus, and computer program product for interactive hepatic vascular and biliary system assessment |
CN101601585B (en) * | 2009-07-02 | 2011-01-12 | 厦门强本科技有限公司 | Hepatic segment volume measuring method based on CT reinforcing scan technique |
CN102048550B (en) * | 2009-11-02 | 2013-07-17 | 上海交通大学医学院附属仁济医院 | Method for automatically generating liver 3D (three-dimensional) image and accurately positioning liver vascular domination region |
CN103295195B (en) * | 2013-05-16 | 2017-07-07 | 深圳市旭东数字医学影像技术有限公司 | The enhanced method of vascular and its system of soft image |
-
2016
- 2016-04-12 GB GB1606282.0A patent/GB2549459B/en active Active
-
2017
- 2017-03-28 AU AU2017249265A patent/AU2017249265B2/en active Active
- 2017-03-28 SG SG11201808890SA patent/SG11201808890SA/en unknown
- 2017-03-28 WO PCT/EP2017/057302 patent/WO2017178226A1/en active Application Filing
- 2017-03-28 EP EP17713951.6A patent/EP3443533B1/en active Active
- 2017-03-28 MY MYPI2018703712A patent/MY188518A/en unknown
- 2017-03-28 NZ NZ748167A patent/NZ748167A/en unknown
- 2017-03-28 PL PL17713951T patent/PL3443533T3/en unknown
- 2017-03-28 CA CA3020788A patent/CA3020788C/en active Active
- 2017-03-28 PT PT177139516T patent/PT3443533T/en unknown
- 2017-03-28 CN CN201780031379.4A patent/CN109155063B/en active Active
- 2017-03-28 JP JP2018554439A patent/JP6961614B2/en active Active
- 2017-03-28 ES ES17713951T patent/ES2914779T3/en active Active
- 2017-03-28 US US16/092,281 patent/US10846847B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
GB2549459A (en) | 2017-10-25 |
WO2017178226A1 (en) | 2017-10-19 |
PT3443533T (en) | 2022-08-22 |
CA3020788C (en) | 2023-05-23 |
AU2017249265A1 (en) | 2018-11-29 |
MY188518A (en) | 2021-12-17 |
JP6961614B2 (en) | 2021-11-05 |
US10846847B2 (en) | 2020-11-24 |
ES2914779T3 (en) | 2022-06-16 |
NZ748167A (en) | 2022-07-29 |
CA3020788A1 (en) | 2017-10-19 |
CN109155063A (en) | 2019-01-04 |
US20190147590A1 (en) | 2019-05-16 |
PL3443533T3 (en) | 2022-06-27 |
JP2019528090A (en) | 2019-10-10 |
CN109155063B (en) | 2022-05-03 |
EP3443533A1 (en) | 2019-02-20 |
EP3443533B1 (en) | 2022-05-11 |
GB2549459B (en) | 2020-06-03 |
AU2017249265B2 (en) | 2021-02-25 |
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