دورية أكاديمية
Topography-based feature extraction of the human placenta from prenatal MR images.
| العنوان: | Topography-based feature extraction of the human placenta from prenatal MR images. |
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| المؤلفون: | Huang J; Department of Bioengineering, The University of Texas at Dallas, TX.; Center for Imaging and Surgical Innovation, The University of Texas at Dallas, TX., Shahedi M; Department of Bioengineering, The University of Texas at Dallas, TX.; Center for Imaging and Surgical Innovation, The University of Texas at Dallas, TX., Do QN; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX., Xi Y; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX.; Department of Population and Data Sciences, The University of Texas Southwestern Medical Center, Dallas, TX., Lewis MA; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX., Herrera CL; Department of Obstetrics and Gynecology, The University of Texas Southwestern Medical Center, Dallas, TX., Owen D; Department of Obstetrics and Gynecology, The University of Texas Southwestern Medical Center, Dallas, TX., Spong CY; Department of Obstetrics and Gynecology, The University of Texas Southwestern Medical Center, Dallas, TX., Madhuranthakam AJ; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX., Twickler DM; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX.; Department of Obstetrics and Gynecology, The University of Texas Southwestern Medical Center, Dallas, TX., Fei B; Department of Bioengineering, The University of Texas at Dallas, TX.; Center for Imaging and Surgical Innovation, The University of Texas at Dallas, TX.; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX. |
| المصدر: | Proceedings of SPIE--the International Society for Optical Engineering [Proc SPIE Int Soc Opt Eng] 2023 Feb; Vol. 12464. Date of Electronic Publication: 2023 Apr 03. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: SPIE, The International Society for Optical Engineering Country of Publication: United States NLM ID: 101524122 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0277-786X (Print) Linking ISSN: 0277786X NLM ISO Abbreviation: Proc SPIE Int Soc Opt Eng Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: Bellingham, WA : SPIE, The International Society for Optical Engineering |
| مستخلص: | Magnetic resonance imaging (MRI) has gained popularity in the field of prenatal imaging due to the ability to provide high quality images of soft tissue. In this paper, we presented a novel method for extracting different textural and morphological features of the placenta from MRI volumes using topographical mapping. We proposed polar and planar topographical mapping methods to produce common placental features from a unique point of observation. The features extracted from the images included the entire placenta surface, as well as the thickness, intensity, and entropy maps displayed in a convenient two-dimensional format. The topography-based images may be useful for clinical placental assessments as well as computer-assisted diagnosis, and prediction of potential pregnancy complications. |
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| معلومات مُعتمدة: | K23 HD103876 United States HD NICHD NIH HHS; R01 HL140325 United States HL NHLBI NIH HHS; R01 CA156775 United States CA NCI NIH HHS; R01 CA204254 United States CA NCI NIH HHS; R21 CA231911 United States CA NCI NIH HHS; K25 HD104004 United States HD NICHD NIH HHS; L30 HD109864 United States HD NICHD NIH HHS |
| فهرسة مساهمة: | Keywords: Placenta; deformable registration; feature extraction; magnetic resonance imaging (MRI); placenta accreta spectrum; topography; uterus |
| تواريخ الأحداث: | Date Created: 20240319 Latest Revision: 20240702 |
| رمز التحديث: | 20240702 |
| مُعرف محوري في PubMed: | PMC10947417 |
| DOI: | 10.1117/12.2653663 |
| PMID: | 38501056 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 0277-786X |
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| DOI: | 10.1117/12.2653663 |