JP2020505092A5 - - Google Patents
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- JP2020505092A5 JP2020505092A5 JP2019536284A JP2019536284A JP2020505092A5 JP 2020505092 A5 JP2020505092 A5 JP 2020505092A5 JP 2019536284 A JP2019536284 A JP 2019536284A JP 2019536284 A JP2019536284 A JP 2019536284A JP 2020505092 A5 JP2020505092 A5 JP 2020505092A5
- Authority
- JP
- Japan
- Prior art keywords
- cortical
- cerebral cortex
- quantified
- identifying
- malformation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000001054 cortical effect Effects 0.000 claims 28
- 230000036244 malformation Effects 0.000 claims 26
- 210000003710 cerebral cortex Anatomy 0.000 claims 24
- 238000000034 method Methods 0.000 claims 14
- 238000002595 magnetic resonance imaging Methods 0.000 claims 6
- 206010010356 Congenital anomaly Diseases 0.000 claims 3
- 238000005259 measurement Methods 0.000 claims 3
- 206010058314 Dysplasia Diseases 0.000 claims 2
- 238000013507 mapping Methods 0.000 claims 2
- 206010070666 Cortical dysplasia Diseases 0.000 claims 1
- 210000003484 anatomy Anatomy 0.000 claims 1
- 201000010099 disease Diseases 0.000 claims 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims 1
- 230000003993 interaction Effects 0.000 claims 1
- 238000011158 quantitative evaluation Methods 0.000 claims 1
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201762443061P | 2017-01-06 | 2017-01-06 | |
| US62/443,061 | 2017-01-06 | ||
| PCT/EP2018/050089 WO2018127499A1 (en) | 2017-01-06 | 2018-01-03 | Cortical malformation identification |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2020505092A JP2020505092A (ja) | 2020-02-20 |
| JP2020505092A5 true JP2020505092A5 (enExample) | 2021-02-12 |
| JP7337693B2 JP7337693B2 (ja) | 2023-09-04 |
Family
ID=61022304
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2019536284A Active JP7337693B2 (ja) | 2017-01-06 | 2018-01-03 | 皮質奇形識別 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11915412B2 (enExample) |
| EP (1) | EP3566211A1 (enExample) |
| JP (1) | JP7337693B2 (enExample) |
| CN (1) | CN110383347B (enExample) |
| WO (1) | WO2018127499A1 (enExample) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20240135558A1 (en) * | 2014-04-25 | 2024-04-25 | Thornhill Scientific Inc. | Imaging abnormalities in vascular response |
| US12029575B2 (en) * | 2018-09-24 | 2024-07-09 | Koninklijke Philips N.V. | Mesial temporal lobe epilepsy classifier based on volume and shape of subcortical brain regions |
| US12102489B2 (en) * | 2021-06-30 | 2024-10-01 | Clearpoint Neuro, Inc. | Image-guided surgical systems with quantitative evaluation of in vivo thermal treatments and related methods |
| US12446803B2 (en) * | 2023-08-04 | 2025-10-21 | Thornhill Scientific Inc. | Method and system of measuring brain oxygenation using deoxyhemoglobin contrast |
Family Cites Families (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5320102A (en) * | 1992-11-18 | 1994-06-14 | Ciba-Geigy Corporation | Method for diagnosing proteoglycan deficiency in cartilage based on magnetic resonance image (MRI) |
| WO2005025404A2 (en) * | 2003-09-08 | 2005-03-24 | Vanderbilt University | Apparatus and methods of cortical surface registration and deformation tracking for patient-to-image alignment in relation to image-guided surgery |
| US7103399B2 (en) | 2003-09-08 | 2006-09-05 | Vanderbilt University | Apparatus and methods of cortical surface registration and deformation tracking for patient-to-image alignment in relation to image-guided surgery |
| EP1603076A1 (en) * | 2004-05-13 | 2005-12-07 | Aalborg Universitet | Computerized cortex boundary extraction from MR images |
| US20070218084A1 (en) * | 2005-12-30 | 2007-09-20 | Fondazione Pierfranco E Luisa Mariani- Onlus | Method for the Mapping of the Epileptogenic Focus in the Pre-Surgical Evaluation of Patients with Intractable Epilepsy |
| JP2010527729A (ja) * | 2007-05-31 | 2010-08-19 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | 磁気共鳴画像データを自動的に取得する方法 |
| US9788753B2 (en) * | 2009-02-26 | 2017-10-17 | Ramot At Tel-Aviv University Ltd. | Method and system for characterizing cortical structures |
| US20100220910A1 (en) * | 2009-03-02 | 2010-09-02 | General Electric Company | Method and system for automated x-ray inspection of objects |
| BR112012013691A8 (pt) | 2009-12-10 | 2017-11-07 | Dartmouth College | Método para segmentação automática e sistema |
| EP2543019A1 (en) * | 2010-03-02 | 2013-01-09 | Koninklijke Philips Electronics N.V. | A normative dataset for neuropsychiatric disorders |
| US9230321B2 (en) | 2012-03-30 | 2016-01-05 | University Of Louisville Research Foundation, Inc. | Computer aided diagnostic system incorporating 3D shape analysis of the brain for identifying developmental brain disorders |
| US20150289779A1 (en) * | 2012-10-18 | 2015-10-15 | Bruce Fischl | System and method for diagnosis of focal cortical dysplasia |
| US20160166192A1 (en) | 2013-07-30 | 2016-06-16 | Children's Hospital Los Angeles | Magnetic resonance imaging tool to detect clinical difference in brain anatomy |
| CN105765398A (zh) | 2013-11-22 | 2016-07-13 | 皇家飞利浦有限公司 | 用于根据mr扫描信息来测量皮层厚度的系统 |
| WO2015161363A1 (en) * | 2014-04-25 | 2015-10-29 | Joseph Fisher | Imaging abnormalities in vascular response |
| US9530206B2 (en) | 2015-03-31 | 2016-12-27 | Sony Corporation | Automatic 3D segmentation and cortical surfaces reconstruction from T1 MRI |
| US20160335765A1 (en) * | 2015-05-12 | 2016-11-17 | Justus W. Harris | Three dimensional modeling of health data |
| US10262414B2 (en) * | 2015-07-29 | 2019-04-16 | University Of Louisville Research Foundation, Inc. | Computer aided diagnostic system for mapping of brain images |
| US10302714B2 (en) * | 2017-09-15 | 2019-05-28 | Siemens Healthcare Gmbh | Magnetic resonance radio frequency pulse design using machine learning |
-
2018
- 2018-01-03 WO PCT/EP2018/050089 patent/WO2018127499A1/en not_active Ceased
- 2018-01-03 US US16/475,480 patent/US11915412B2/en active Active
- 2018-01-03 CN CN201880016163.5A patent/CN110383347B/zh active Active
- 2018-01-03 JP JP2019536284A patent/JP7337693B2/ja active Active
- 2018-01-03 EP EP18701097.0A patent/EP3566211A1/en active Pending
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