Super-resolution Reconstruction of Fetal Craniofacial MRI

胎儿颅面MRI超分辨率重建

• 批准号: 8176831
• 负责人: ALI GHOLIPOUR-BABOLI
• 金额: $ 13.01万
• 依托单位: BOSTON CHILDREN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2013-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8176831
• 关键词: Accounting; Address; Adverse effects; Affect; Amniotic Fluid; Anatomy; Applications Grants; Boston; Brain; Brain imaging; Breathing; Caring; Cervical; Chest; Classification; Cleft Lip; Cleft Palate; Clinical; Communities; Complement; Complex; Computer software; Congenital Abnormality; Craniosynostosis; Data; Databases; Defect; Detection; Development; Diagnosis; Diagnostic; Disease; Drug Formulations; Ear; Early Diagnosis; Eating; Evaluation; Eye; Face; Facial asymmetry; Fetal Structures; Fetus; Head; Hearing; Human; Image; Imagery; Imaging Techniques; Imaging technology; Investigation; Ionizing radiation; Knowledge; Liquid substance; Live Birth; Magnetic Resonance Imaging; Medical Imaging; Methods; Micrognathism; Modeling; Morphologic artifacts; Motion; Movement; National Institute of Dental and Craniofacial Research; Neonatal; Nose; Obesity; Oral; Organ; Outcome; Patients; Pediatric Hospitals; Positioning Attribute; Pregnancy; Quality of life; Research; Resolution; Scanning; Second Pregnancy Trimester; Signal Transduction; Slice; Specialized Center; Structure; Techniques; Technology; Thick; Three-Dimensional Image; Three-dimensional analysis; Tooth structure; Ultrasonography; Vision; base; bone; comparative effectiveness; craniofacial; craniofacial complex; craniomaxillofacial; cranium; developmental disease; diagnosis evaluation; diagnostic accuracy; disability; disorder risk; fetal; follow-up; image processing; improved; in utero; malformation; neuroimaging; new technology; novel; outcome forecast; patient population; pregnant; prenatal; prevent; radiologist; reconstruction; research study; soft tissue; tool; two-dimensional

DESCRIPTION (provided by applicant): The overall objective of this project is to dramatically improve the capability of fetal MRI for diagnosis, analysis, and prognosis of craniofacial developmental disorders. These disorders present in three quarters of all human birth defects and affect approximately one in every 500 live births. Craniofacial disorders may cause serious long-term problems that affect the quality of life and result in higher disease risk. Improved knowledge of early craniofacial development and developmental disorders helps for better prognosis and treatment, better management of pregnancy, improved neonatal care, and better long-term outcomes. Non-invasive medical imaging techniques are the main tools to acquire information about the fetus in-utero. Prenatal sonography is routinely performed in the second trimester of pregnancy, and is considered to be the primary diagnostic tool. Nevertheless the diagnostic accuracy of sonography for complex craniofacial diseases such as cleft lip and cleft palate, hemifacial microsomia, micrognathia, etc. is extremely low. On the other hand magnetic resonance imaging (MRI) has become an excellent complement to sonography for accurate diagnosis and analysis of such complex diseases. Nonetheless, fetal MRI is limited to two-dimensional acquisitions by small signal available from the small fetal organs, and by intermittent fetal motion that disrupts spatial encoding necessary for accurate three-dimensional analysis. Novel image processing technology has recently been developed for the reconstruction of high-resolution three-dimensional MRI of the fetal brain. This technology has led to significant improvements in fetal neuroimaging. However, this technology cannot be directly or simply adapted to fetal MRI of craniofacial structures; the non-rigid and local movement of soft tissue, fluid, and craniomaxillofacial bones and semi-bony structures pose significant challenges in volume reconstruction. The specific aim of this proposal is the development of novel models of soft tissue, fluid, and bone in craniofacial structures and local motion estimation based on these models. This will also be considered through the use of advanced image regularization techniques without explicit sub-voxel motion estimation. The specific aims in this proposal also involve the reconstruction of high-resolution fetal craniofacial MRI and their classification based on various types of disorders. The collected data will be shared with radiologists at Children's Hospital Boston as well as with the greater community of craniofacial experts on FaceBase consortium. PUBLIC HEALTH RELEVANCE: Three dimensional high spatial resolution fetal MRI of craniofacial structures will be developed in this project to significantly improve the capability of fetal MRI for diagnosis, analysis, prognosis, and treatment of fetal craniofacial disorders.

描述（由申请人提供）：该项目的总体目标是显着提高胎儿 MRI 对颅面发育障碍的诊断、分析和预后的能力。这些疾病占所有人类出生缺陷的四分之三，大约每 500 名活产婴儿中就有 1 人受到这些疾病的影响。颅面疾病可能会导致严重的长期问题，影响生活质量并导致更高的疾病风险。提高对早期颅面发育和发育障碍的了解有助于更好的预后和治疗、更好的妊娠管理、改善新生儿护理和更好的长期结果。无创医学成像技术是获取宫内胎儿信息的主要工具。产前超声检查通常在妊娠中期进行，被认为是主要的诊断工具。然而，超声检查对唇腭裂、半面部短小、小颌畸形等复杂颅面部疾病的诊断准确性极低。另一方面，磁共振成像 (MRI) 已成为超声检查的绝佳补充，可准确诊断和分析此类复杂疾病。尽管如此，胎儿 MRI 仅限于通过来自胎儿小器官的小信号以及间歇性胎儿运动进行二维采集，这会破坏精确三维分析所需的空间编码。最近开发了新的图像处理技术，用于重建胎儿大脑的高分辨率三维 MRI。这项技术显着改善了胎儿神经影像学。然而，该技术不能直接或简单地应用于胎儿颅面结构的MRI；软组织、液体、颅颌面骨和半骨结构的非刚性和局部运动对体积重建提出了重大挑战。该提案的具体目标是开发颅面结构中软组织、流体和骨骼的新模型以及基于这些模型的局部运动估计。这也将通过使用先进的图像正则化技术来考虑，而无需显式的子体素运动估计。该提案的具体目标还涉及高分辨率胎儿颅面 MRI 的重建及其根据各种疾病类型的分类。收集到的数据将与波士顿儿童医院的放射科医生以及 FaceBase 联盟的颅面专家社区共享。 公共健康相关性：本项目将开发三维高空间分辨率胎儿颅面结构MRI，以显着提高胎儿MRI对胎儿颅面疾病的诊断、分析、预后和治疗的能力。