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快速、简单的显微神经外科图像景深扩展技术:技术说明。

Rapid, simple technique to extend depth of field in microneurosurgical images: technical note.

机构信息

Division of Neurological Surgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona 85013, USA.

出版信息

Neurosurgery. 2009 Dec;65(6 Suppl):E73-4; discussion E74. doi: 10.1227/01.NEU.0000345629.04521.33.

Abstract

OBJECTIVE

To increase the extent of the depth of field and focal sharpness in highly magnified image series from cadaveric microneurosurgical anatomic study or live surgery photographs obtained with the operating microscope, providing a higher quality and more satisfactory photographic and imaging experience.

METHODS

We used a computer workstation, CombineZM software (Alan Hadley, United Kingdom, www.hadleyweb.pwp.blueyonder.co.uk/), an injected cadaver head specimen, and an operating microscope equipped with a digital single-lens reflex camera. Fifteen images were obtained of the dissection area through an anterior petrosal approach. The focus point was fixed to different points in each image. The images were loaded into CombineZM software for processing.

RESULTS

The stacking process of photographs with CombineZM freeware provides significant increase in extent of depth of field and wider area of image clarity, producing a sharp, high-quality image.

CONCLUSION

An image processed from a stack of photographs from cadaveric microneurosurgical studies or from the operating microscope in live surgery can be rendered to show extended 3-dimensional depth of field and clarity. This method offers improvements for editing, displaying, and publishing neurosurgical anatomic images.

摘要

目的

通过对尸体显微镜神经外科解剖研究或手术显微镜下活体手术拍摄的高倍图像系列进行处理,增加景深和焦点锐度,从而提供更高质量和更令人满意的摄影和成像体验。

方法

我们使用了计算机工作站、CombineZM 软件(英国的 Alan Hadley,www.hadleyweb.pwp.blueyonder.co.uk/)、注射头颅标本和配备数码单反相机的手术显微镜。通过前岩骨入路获得 15 张解剖区域的图像。将焦点固定在每张图像的不同点上。将图像加载到 CombineZM 软件中进行处理。

结果

CombineZM 免费软件的照片堆叠处理显著增加了景深的范围和更宽的图像清晰区域,产生了清晰、高质量的图像。

结论

从尸体显微镜神经外科研究或手术显微镜下活体手术拍摄的照片堆栈处理生成的图像可以显示扩展的三维景深和清晰度。这种方法为编辑、显示和发布神经外科解剖图像提供了改进。

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