Solid-State MRI as a Noninvasive Alternative to Computed Tomography for Craniofacial Imaging

固态 MRI 作为颅面成像计算机断层扫描的无创替代方案

• 批准号: 9899223
• 负责人: Felix W Wehrli
• 金额: $ 19.95万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9899223
• 关键词: 3-Dimensional; Address; Adolescent; Adverse effects; Agreement; Air; Anatomy; Bone Tissue; Bone structure; Cadaver; Characteristics; Child; Childhood; Clinical; Craniofacial Abnormalities; Craniosynostosis; Data; Databases; Deformity; Development; Diagnosis; Evaluation; Exposure to; Face; Frequencies; Future; Generations; Genetic Diseases; Gold; Growth and Development function; Head; High Resolution Computed Tomography; Human; Image; Imaging Techniques; Incidence; Infant; Ionizing radiation; Joint structure of suture of skull; Life; Magnetic Resonance Imaging; Malignant Neoplasms; Measurement; Methodology; Methods; Modality; Monitor; Morphologic artifacts; Neck; Newborn Infant; Nuts; Operative Surgical Procedures; Parents; Pathology; Patients; Performance; Phenotype; Physiologic pulse; Pilot Projects; Predisposition; Preparation; Process; Protocols documentation; Protons; Radiation; Relaxation; Reporting; Resolution; Risk; Roentgen Rays; Scanning; Shapes; Signal Transduction; Sinus; Source; Specimen; Subtraction Technique; Surface; Surgeon; Techniques; Tern; Testing; Time; Tissues; United States National Center for Health Statistics; Visualization; Work; X-Ray Computed Tomography; analog; attenuation; base; bone; bone imaging; cancer risk; computerized data processing; cortical bone; craniofacial; craniofacial bone; cranium; data acquisition; data sharing; data space; density; follow-up; high resolution imaging; human imaging; imaging modality; infancy; millisecond; pediatric patients; premature; reconstruction; skeletal; soft tissue; solid state; three-dimensional modeling

Abstract Computed tomography (CT) has been the standard imaging modality for pre- and postsurgical evaluation of pediatric patients with craniofacial skeletal pathologies. The large difference in attenuation coefficients between bone and soft tissue allows for straightforward segmentation, enabling creation of 3D models at high spatial reso- lution. However, there is growing concern about potential adverse effects of repeated exposure to ionizing radia- tion during infancy and childhood. In fact, the FDA has issued warnings cautioning against unnecessarily expos- ing children to X-rays, stating that even though the risk is deemed relatively small, it could, nonetheless, contrib- ute to increased risk of cancer later in life. As a result, non-radiative alternatives to CT would be particularly valu- able to identify and manage these patients, who require multiple examinations over the course of their lifetime. Unfortunately, conventional MR is not suited for imaging bone, which appears with near background intensity due to very short T2 relaxation times and relatively low proton density, and thus is difficult to distinguish from air. The premise underlying this proposal is that a new solid-state (SS) subtraction imaging technique, making use of bone signal attenuation during and following excitation, collected in an interleaved fashion with an acquisition yielding maximal bone signal retention, allows for superior bone-selective imaging. Along with a new k-space data sharing approach and compressed sensing reconstruction, achieved by exploiting signal sparsity in the difference image domain, it is hypothesized that the method will achieve high-resolution whole-skull coverage, yielding 3D render- ings comparable to their CT analogs in less than three minutes of scan time. This hypothesis will be rigorously evaluated in three specific Aims, starting with full implementation of image data acquisition, reconstruction and processing (Aim 1). Subsequently, the methodology is tested in human cadaver skulls to compare its performance based on craniometric accuracy and agreement with the gold-standard CT data. The latter is quantified in terms of the SØrenson-Dice (SD) coefficient of the binarized 3D-rendered images, and craniometric accuracy in the form of the concordance correlation coefficient (Aim 2). Finally, the SS-MRI method is evaluated in 30 children and ad- olescents who are clinically indicated for craniofacial surgery guided by high-resolution CT (Aim 3). We posit that the new method is superior to a competing gradient-echo imaging method that is unable to distinguish between bone and background (e.g. air in the sinuses) – therefore denoted black-bone (BB) MRI. The specific hypothesis to be tested is that the SS MRI method is more accurate than its BB counterpart with respect to the reference CT- based renderings. Successful execution of this project should result in a clinically effective, radiation-free alterna- tive to CT for the pre- and post-surgical evaluation of pediatric patients with craniofacial abnormalities. Beyond the scope of the proposed pilot project, the rigorously evaluated method will provide a gateway toward establishment of a database of craniofacial anatomy during growth and development enabling recognition of abnormal pheno- types.

摘要 计算机断层扫描（CT）已成为术前和术后评估的标准成像模式。 患有颅面骨骼病变的儿科患者。两者之间衰减系数的巨大差异 骨骼和软组织允许直接分割，能够以高空间分辨率创建3D模型， lution.然而，人们越来越关注反复暴露于电离辐射的潜在不利影响， 在婴儿期和儿童期。事实上，FDA已经发出警告，警告不要不必要地暴露， 让儿童接受X光检查，指出即使风险被认为相对较小，但它可能会造成- 在以后的生活中增加癌症的风险。因此，CT的非辐射替代品将特别有价值。 能够识别和管理这些患者，他们在一生中需要多次检查。 不幸的是，传统的MR不适合于对骨进行成像，骨由于其自身的原因而以接近背景的强度出现。 非常短的T2弛豫时间和相对低的质子密度，因此难以与空气区分。的 这一建议的前提是，一种新的固态（SS）减影成像技术，利用骨 在激励期间和之后的信号衰减，以交错方式收集，采集产生 最大的骨信号保留，允许上级的骨选择性成像。沿着一种新的k空间数据共享 方法和压缩感知重建，实现了利用信号稀疏的差异图像 域，假设该方法将实现高分辨率的全颅骨覆盖，产生3D渲染- 在不到三分钟的扫描时间内，与它们的CT类似物相当。这一假设将严格 在三个具体目标进行评估，从全面实施图像数据采集、重建和 处理（目标1）。随后，该方法在人类尸体头骨中进行测试，以比较其性能 基于颅骨测量的准确性和与金标准CT数据的一致性。后者被量化为 的二值化3D渲染图像的Serrenson-Dice（SD）系数，以及以下形式的颅骨测量准确度 一致性相关系数（Aim 2）。最后，在30名儿童和10名成人中评价了SS-MRI方法。 临床上适合在高分辨率CT引导下进行颅面手术的青少年（目标3）。我们将其 该新方法上级于不能区分 骨和背景（例如，鼻窦中的空气）-因此表示为黑骨（BB）MRI。具体假设 要测试的是，SS MRI方法相对于参考CT比其BB对应物更准确。 基于渲染。该项目的成功执行将导致临床有效，无辐射的替代品， 对于颅面畸形儿童患者的术前和术后评估，CT是有效的。超出 在拟议的试点项目范围内，严格评估的方法将为建立一个门户， 在生长和发育过程中的颅面解剖数据库，使识别异常表型， 类型

项目成果

Automatic Segmentation of Bone Selective MR Images for Visualization and Craniometry of the Cranial Vault.

• DOI: 10.1016/j.acra.2021.03.010
• 发表时间: 2022-03
• 期刊: Academic radiology
• 影响因子: 4.8
• 作者: Zimmerman CE;Khandelwal P;Xie L;Lee H;Song HK;Yushkevich PA;Vossough A;Bartlett SP;Wehrli FW
• 通讯作者: Wehrli FW