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The Application of Knowledge Distillation toward Fine-Grained Segmentation for Three-Vessel View of Fetal Heart Ultrasound Images. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:1765550. [PMID: 35875733 PMCID: PMC9303103 DOI: 10.1155/2022/1765550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/29/2022] [Accepted: 06/30/2022] [Indexed: 11/17/2022]
Abstract
Objectives. Measuring anatomical parameters in fetal heart ultrasound images is crucial for the diagnosis of congenital heart disease (CHD), which is highly dependent on the clinical experience of the sonographer. To address this challenge, we propose an automated segmentation method using the channel-wise knowledge distillation technique. Methods. We design a teacher-student architecture to conduct channel-wise knowledge distillation. ROI-based cropped images and full-size images are used for the teacher and student models, respectively. It allows the student model to have both the fine-grained segmentation capability inherited from the teacher model and the ability to handle full-size test images. A total of 1,300 fetal heart ultrasound images of three-vessel view were collected and annotated by experienced doctors for training, validation, and testing. Results. We use three evaluation protocols to quantitatively evaluate the segmentation accuracy: Intersection over Union (IoU), Pixel Accuracy (PA), and Dice coefficient (Dice). We achieved better results than related methods on all evaluation metrics. In comparison with DeepLabv3+, the proposed method gets more accurate segmentation boundaries and has performance gains of 1.8% on mean IoU (66.8% to 68.6%), 2.2% on mean PA (79.2% to 81.4%), and 1.2% on mean Dice (80.1% to 81.3%). Conclusions. Our segmentation method could identify the anatomical structure in three-vessel view of fetal heart ultrasound images. Both quantitative and visual analyses show that the proposed method significantly outperforms the related methods in terms of segmentation results.
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Gireadă R, Socolov D, Mihălceanu E, Matasariu R, Ursache A, Akad M, Bujor I, Scripcariu I, Popa RF, Socolov R. The Additional Role of the 3-Vessels and Trachea View in Screening for Congenital Heart Disease. Medicina (B Aires) 2022; 58:medicina58020262. [PMID: 35208585 PMCID: PMC8875090 DOI: 10.3390/medicina58020262] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 02/03/2022] [Accepted: 02/07/2022] [Indexed: 11/19/2022] Open
Abstract
Background and Objectives: Although frequent and associated with high mortality and morbidity rate, congenital heart disease (CHD) has a suboptimal prenatal detection rate, with significant variation according to the scanning protocol. The aim of this study was to evaluate the role of the 3-vessels and trachea view (3VT) in detecting CHD, with or without the use of Color Doppler, with an emphasis on major CHD. Materials and Methods: We performed a retrospective study on 1596 unselected pregnant patients presenting at 11–37 weeks of gestation for a routine anomaly scan. We selected all CHD cases, and we analyzed the performance of the 4-chamber (4C) and 3VT view in detecting CHD. Results: A total of 46 fetuses with CHD were identified, yielding a 2.86% overall incidence, and 0.87% for major CHD. Grayscale 4C detected 47.8% of all CHD, going up to 71.7% by adding grayscale 3VT, with no major CHD remaining undetected by combining grayscale 4C and 3VT. Conclusions: Grayscale 4C and 3VT views are effective in detecting major CHD, thus proving their utility even in a low resource setting.
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Affiliation(s)
- Roxana Gireadă
- Department of Obstetrics and Gynecology, University of Medicine and Pharmacy ‘Gr. T. Popa’, 700115 Iaşi, Romania; (R.G.); (D.S.); (E.M.); (A.U.); (M.A.); (I.B.); (R.F.P.); (R.S.)
| | - Demetra Socolov
- Department of Obstetrics and Gynecology, University of Medicine and Pharmacy ‘Gr. T. Popa’, 700115 Iaşi, Romania; (R.G.); (D.S.); (E.M.); (A.U.); (M.A.); (I.B.); (R.F.P.); (R.S.)
- Department of Obstetrics and Gynecology, Cuza Vodă Hospital, 700038 Iaşi, Romania
| | - Elena Mihălceanu
- Department of Obstetrics and Gynecology, University of Medicine and Pharmacy ‘Gr. T. Popa’, 700115 Iaşi, Romania; (R.G.); (D.S.); (E.M.); (A.U.); (M.A.); (I.B.); (R.F.P.); (R.S.)
- Department of Obstetrics and Gynecology, Cuza Vodă Hospital, 700038 Iaşi, Romania
| | - Roxana Matasariu
- Department of Obstetrics and Gynecology, University of Medicine and Pharmacy ‘Gr. T. Popa’, 700115 Iaşi, Romania; (R.G.); (D.S.); (E.M.); (A.U.); (M.A.); (I.B.); (R.F.P.); (R.S.)
- Department of Obstetrics and Gynecology, Cuza Vodă Hospital, 700038 Iaşi, Romania
- Correspondence: (R.M.); (I.S.)
| | - Alexandra Ursache
- Department of Obstetrics and Gynecology, University of Medicine and Pharmacy ‘Gr. T. Popa’, 700115 Iaşi, Romania; (R.G.); (D.S.); (E.M.); (A.U.); (M.A.); (I.B.); (R.F.P.); (R.S.)
| | - Mona Akad
- Department of Obstetrics and Gynecology, University of Medicine and Pharmacy ‘Gr. T. Popa’, 700115 Iaşi, Romania; (R.G.); (D.S.); (E.M.); (A.U.); (M.A.); (I.B.); (R.F.P.); (R.S.)
| | - Iuliana Bujor
- Department of Obstetrics and Gynecology, University of Medicine and Pharmacy ‘Gr. T. Popa’, 700115 Iaşi, Romania; (R.G.); (D.S.); (E.M.); (A.U.); (M.A.); (I.B.); (R.F.P.); (R.S.)
| | - Ioana Scripcariu
- Department of Obstetrics and Gynecology, University of Medicine and Pharmacy ‘Gr. T. Popa’, 700115 Iaşi, Romania; (R.G.); (D.S.); (E.M.); (A.U.); (M.A.); (I.B.); (R.F.P.); (R.S.)
- Department of Obstetrics and Gynecology, Cuza Vodă Hospital, 700038 Iaşi, Romania
- Correspondence: (R.M.); (I.S.)
| | - Radu Florin Popa
- Department of Obstetrics and Gynecology, University of Medicine and Pharmacy ‘Gr. T. Popa’, 700115 Iaşi, Romania; (R.G.); (D.S.); (E.M.); (A.U.); (M.A.); (I.B.); (R.F.P.); (R.S.)
| | - Răzvan Socolov
- Department of Obstetrics and Gynecology, University of Medicine and Pharmacy ‘Gr. T. Popa’, 700115 Iaşi, Romania; (R.G.); (D.S.); (E.M.); (A.U.); (M.A.); (I.B.); (R.F.P.); (R.S.)
- Department of Obstetrics and Gynecology, Elena Doamna Hospital, 700398 Iaşi, Romania
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Ganigara M, Sagiv E, Buddhe S, Bhat A, Chikkabyrappa SM. Tetralogy of Fallot With Pulmonary Atresia: Anatomy, Physiology, Imaging, and Perioperative Management. Semin Cardiothorac Vasc Anesth 2020; 25:208-217. [DOI: 10.1177/1089253220920480] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Tetralogy of Fallot (ToF) with pulmonary atresia (ToF-PA) is a complex congenital heart defect at the extreme end of the spectrum of ToF, with no antegrade flow into the pulmonary arteries. Patients differ with regard to the sources of pulmonary blood flow. In the milder spectrum of disease, there are confluent branch pulmonary arteries fed by ductus arteriosus. In more severe cases, however, the ductus arteriosus is absent, and the sole source of pulmonary blood flow is via major aortopulmonary collateral arteries (MAPCAs). The variability in the origin, size, number, and clinical course of these MAPCAs adds to the complexity of these patients. Currently, the goal of management is to establish pulmonary blood flow from the right ventricle (RV) with RV pressures that are ideally less than half of the systemic pressure to allow for closure of the ventricular septal defect. In the long term, patients with ToF-PA are at higher risk for reinterventions to address pulmonary arterial or RV-pulmonary artery conduit stenosis, progressive aortic root dilation and aortic insufficiency, and late mortality than those with less severe forms of ToF.
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Affiliation(s)
- Madhusudan Ganigara
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA
| | - Eyal Sagiv
- Seattle Children’s Hospital, Seattle, WA, USA
- University of Washington, Seattle, WA, USA
| | - Sujatha Buddhe
- Seattle Children’s Hospital, Seattle, WA, USA
- University of Washington, Seattle, WA, USA
| | - Aarti Bhat
- Seattle Children’s Hospital, Seattle, WA, USA
- University of Washington, Seattle, WA, USA
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