Slomka Piotr J
Department of Imaging, Cedars-Sinai Medical Center and UCLA School of Medicine, Los Angeles, California 90048, USA.
J Nucl Med. 2004 Jan;45 Suppl 1:36S-45S.
Software image registration is a powerful and versatile tool that allows the fusion of molecular and anatomic information. Image registration can be applied to compare anatomic information with function, localize organs and lesions, and plan radiation therapy, biopsy, or surgery. Automatic volume-based image registration techniques have been devised for both linear and nonlinear image alignment. Challenges remain in the validation of the accuracy of software registration. Image registration has been applied clinically in neurology and oncology and may be particularly practical in radiotherapy applications. Potential new applications in cardiology could allow the combination of CT angiography with perfusion and viability images obtained by PET, SPECT, or MRI. Software methods allow versatility in the choice of modalities and facilitate retrospective and selective application. Fully automatic registration algorithms are needed for routine clinical applications. Connectivity, compatibility, and cooperation between various clinical departments are essential for the successful application of software-based image fusion in a hospital setting.
软件图像配准是一种强大且通用的工具,可实现分子信息与解剖信息的融合。图像配准可用于将解剖信息与功能进行比较、定位器官和病变,以及规划放射治疗、活检或手术。已经设计出基于体积的自动图像配准技术用于线性和非线性图像对齐。软件配准准确性的验证仍存在挑战。图像配准已在神经病学和肿瘤学临床中得到应用,在放射治疗应用中可能特别实用。心脏病学中的潜在新应用可将CT血管造影与通过PET、SPECT或MRI获得的灌注和存活图像相结合。软件方法在模态选择上具有通用性,并便于进行回顾性和选择性应用。常规临床应用需要全自动配准算法。各个临床科室之间的连通性、兼容性和协作对于基于软件的图像融合在医院环境中的成功应用至关重要。