Artifact-Free Reconstruction of Medical Imaging Information

医学影像信息的无伪影重建

• 批准号: 8101632
• 负责人: Jue Wang
• 金额: $ 25.03万
• 依托单位: UNION COLLEGE
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-06-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8101632
• 关键词: Abdomen; Algorithms; Anatomic structures; Anatomy; Bladder; Calibration; Cancer Etiology; Cancer Patient; Cardiac; Cessation of life; Chest; Clinic; Clinical; Complex; Contracts; Data; Detection; Development; Diagnostic radiologic examination; Digital X-Ray; Discipline; Discipline of Nuclear Medicine; Dose; Engineering; Evaluation; External Beam Radiation Therapy; Generic Drugs; Goals; Healthcare; Image; Image Analysis; Imagery; Joints; Limb structure; Liver; Malignant Neoplasms; Malignant neoplasm of prostate; Mathematics; Medical Imaging; Methods; Modality; Morphologic artifacts; Noise; Normal tissue morphology; Organ; Outcome; Patients; Pelvis; Performance; Physics; Positioning Attribute; Process; Property; Prostate; Protocols documentation; Provider; Radiation; Radiation therapy; Rectum; Relative (related person); Research; Resolution; Screening procedure; Services; Shapes; Site; Skin Cancer; Structure; Students; System; Systems Development; Techniques; Technology; Testing; Time; Toxic effect; Ultrasonography; United States; attenuation; base; cancer therapy; computerized; cost; design; digital imaging; disease diagnosis; human tissue; image guided surgery/therapy; image processing; imaging modality; improved; men; novel; portability; reconstruction; research clinical testing; simulation; skills; soft tissue; software systems; success; tool; treatment planning; tumor

DESCRIPTION (provided by applicant): Prostate cancer is the most common cancer after skin cancer and the second leading cause of cancer death in men in the United States. The options for radiotherapy treatment planning of prostate cancer are limited by CT's low soft tissue contract, MRI's distortion of prostate shape, and ultrasound's speckle noise and attenuation-induced imaging artifacts. Robust and automatic prostate segmentation has only achieved limited success in the past decades and remains a challenging task. A novel technique for reconstruction of medical imaging information is proposed in this project. Pairs of pathological useful and anatomically correct backscatter and attenuation fields can be reconstructed from ultrasound images, along with automatic structure segmentation. The excellent soft tissue contract and portability of ultrasound make it a promising modality for accurate determination of the actual prostate boundary, and to be integrated into prostate cancer treatment planning to give adequate target dose while minimizing radiation to surrounding normal tissues. Four specific aims are proposed. In aim 1, the method and algorithm based on variational principle will be developed and optimized to compensate for attenuation artifacts, and automatically segment anatomic structures in medical ultrasound images. In aim 2, image acquisition protocol and system software will be developed to construct 3D ultrasound volumes and accurately register ultrasound images spatially. In aim 3, the accuracy of the developed system will be quantified and verified in boundary segmentation, localized attenuation artifact correction, and spatial calibration. In aim 4, the approach will be evaluated clinically and qualitatively by involving prostate cancer patients. Treatment plans will be designed based on the proposed method, and compared on dose coverage in the prostate, bladder and rectum. The significance of reduction in planning margin using the proposed method will be evaluated. This project exploits a greater potential of trans-abdominal ultrasound imaging in prostate cancer treatment planning than is currently being realized in daily verification. The proposed method will improve attenuation artifact correction, reveal hidden/additional clinic-important information, automatically delineate anatomic structures, increase cancer treatment accuracy, and reduce normal tissue toxicity. PUBLIC HEALTH RELEVANCE: Robust and automatic prostate segmentation has only achieved limited success in the past decades and remains a challenging task. This project exploits a greater potential of trans-abdominal ultrasound imaging in prostate cancer treatment planning than is currently being realized in daily verification. The proposed method will improve attenuation artifact correction, reveal hidden/additional clinic-important information, automatically delineate anatomic structures, increase cancer treatment accuracy, and reduce normal tissue toxicity.

描述（由申请人提供）：前列腺癌是继皮肤癌之后最常见的癌症，也是美国男性癌症死亡的第二大原因。前列腺癌放射治疗计划的选择受到CT的低软组织收缩、MRI的前列腺形状失真以及超声的斑点噪声和衰减诱导的成像伪影的限制。在过去的几十年里，稳健的自动前列腺分割只取得了有限的成功，仍然是一项具有挑战性的任务。 本计画提出一种新的医学影像资讯重建技术。沿着自动结构分割，可以从超声图像重建成对的病理学上有用的和解剖学上正确的反向散射和衰减场。超声的优良的软组织收缩和便携性使其成为准确确定实际前列腺边界的有前途的模式，并被整合到前列腺癌治疗计划中，以提供足够的靶剂量，同时最大限度地减少对周围正常组织的辐射。 提出了四个具体目标。目标一：发展和优化基于变分原理的方法和算法，以补偿衰减伪影，并自动分割医学超声图像中的解剖结构。在目标2中，将开发图像采集协议和系统软件，以构建3D超声体积并在空间上准确配准超声图像。在目标3中，将在边界分割、局部衰减伪影校正和空间校准中量化和验证所开发系统的准确性。在目标4中，将通过涉及前列腺癌患者对该方法进行临床和定性评价。治疗计划将根据所提出的方法设计，并在前列腺、膀胱和直肠的剂量覆盖范围上进行比较。将评估使用所提出的方法减少规划裕度的意义。 该项目利用了经腹超声成像在前列腺癌治疗计划中的更大潜力，而不是目前在日常验证中实现的。所提出的方法将改善衰减伪影校正，揭示隐藏的/额外的临床重要信息，自动描绘解剖结构，提高癌症治疗的准确性，并减少正常组织的毒性。 公共卫生相关性：在过去的几十年里，稳健的自动前列腺分割只取得了有限的成功，仍然是一项具有挑战性的任务。该项目利用了经腹超声成像在前列腺癌治疗计划中的更大潜力，而不是目前在日常验证中实现的。所提出的方法将改善衰减伪影校正，揭示隐藏的/额外的临床重要信息，自动描绘解剖结构，提高癌症治疗的准确性，并减少正常组织的毒性。