Tools and methods for harvesting follicular units
    61.
    发明授权
    Tools and methods for harvesting follicular units 有权
    用于收获滤泡单位的工具和方法

    公开(公告)号:US08128639B2

    公开(公告)日:2012-03-06

    申请号:US12783750

    申请日:2010-05-20

    申请人: Brian E Tippett

    发明人: Brian E Tippett

    IPC分类号: A61B17/50

    摘要: Tools and methods are provided for removing biological units from a body surface utilizing a removal tool. The tool is of a concentric tube configuration comprising first and second elongated bodies, in which the second elongated body can be retracted into the first elongated body. The tool may incorporate retention members and mechanisms configured to impede movement of the biological unit in the direction of a distal end of the tool and to improve retention of the biological unit in the tool. Distal fluid or gas delivery may supplement a vacuum in a luminal space to help extract biological units from surrounding tissue.

    摘要翻译: 提供了用于使用去除工具从身体表面去除生物单元的工具和方法。 该工具是同心管构造,其包括第一和第二细长体,第二细长体可以缩回到第一细长体中。 该工具可以包括保持构件和机构,其构造成阻止生物单元沿着工具的远端的方向移动,并且改善生物单元在工具中的保留。 远端液体或气体输送可补充管腔空间中的真空以帮助从周围组织提取生物单位。

    SYSTEM AND METHOD FOR COUNTING FOLLICULAR UNITS
    64.
    发明申请
    SYSTEM AND METHOD FOR COUNTING FOLLICULAR UNITS 审中-公开
    用于计算单位的系统和方法

    公开(公告)号:US20080049993A1

    公开(公告)日:2008-02-28

    申请号:US11467283

    申请日:2006-08-25

    IPC分类号: G06K9/20

    摘要: A system and method for counting follicular units using an automated system comprises (i) acquiring a digital image of a body surface having skin and a plurality of follicular units; (ii) selecting a region of interest with the digital image; (iii) segmenting the selected image to produce a binary image; (iv) performing a morphological open operation on the binary image; and (v) performing noise filtering by removing objects having certain characteristics which do not correspond to hair.

    摘要翻译: 使用自动化系统计数滤泡单位的系统和方法包括(i)获取具有皮肤和多个滤泡单位的体表的数字图像; (ii)用数字图像选择感兴趣的区域; (iii)分割所选择的图像以产生二进制图像; (iv)对所述二值图像进行形态打开操作; 和(v)通过去除具有不对应于头发的某些特征的物体进行噪声过滤。

    SYSTEM AND METHOD FOR CLASSIFYING FOLLICULAR UNITS
    65.
    发明申请
    SYSTEM AND METHOD FOR CLASSIFYING FOLLICULAR UNITS 有权
    用于分类单位的系统和方法

    公开(公告)号:US20080049992A1

    公开(公告)日:2008-02-28

    申请号:US11467268

    申请日:2006-08-25

    IPC分类号: G06K9/00 G06K9/34

    摘要: A system and method for classifying follicular units based on the number of hairs in a follicular unit of interest comprises (i) acquiring a digital image of a body surface having a follicular unit of interest; (ii) selecting a region of interest with the digital image which contains the follicular unit; (iii) segmenting the selected image to produce a binary image wherein the binary image defines a contour of the follicular unit; (iv) calculating an outline profile of the binary image which disregards concavities in the contour; and (v) determining the number of defects in the outline profile to determine the number of hairs in the follicular unit. The system and method may also adjust for hairs which converge beneath the skin and for images which appear as a single wide hair but which are actually multiple hairs.

    摘要翻译: 根据感兴趣的滤泡单位中的毛发数量对滤泡单位进行分类的系统和方法包括:(i)获取具有毛囊感兴趣单位的体表的数字图像; (ii)用包含滤泡单元的数字图像选择感兴趣区域; (iii)分割所选择的图像以产生二进制图像,其中二进制图像定义滤泡单元的轮廓; (iv)计算忽略轮廓中的凹面的二值图像的轮廓线; 和(v)确定轮廓轮廓中的缺陷的数量以确定滤泡单位中毛发的数量。 该系统和方法还可以调节收敛于皮肤下面的毛发以及出现为单个宽毛但实际上是多根毛的图像。

    METHODS FOR IMPLANTING FOLLICULAR UNITS USING AN AUTOMATED SYSTEM
    66.
    发明申请
    METHODS FOR IMPLANTING FOLLICULAR UNITS USING AN AUTOMATED SYSTEM 审中-公开
    使用自动化系统对非线性单元进行嵌入的方法

    公开(公告)号:US20070106307A1

    公开(公告)日:2007-05-10

    申请号:US11380911

    申请日:2006-04-28

    IPC分类号: A61B17/50 A61B5/05

    摘要: A method for implanting follicular units in a body surface includes (i) acquiring and processing images of a body surface to identify an implantation site on the body surface, (ii) using an automated system including a moveable arm to position an implantation tool mounted on the moveable arm to a location adjacent the implantation site, (ii) implanting a follicular unit in the body surface by movement of the implantation tool relative to the body surface, wherein the images are acquired from one or more cameras mounted on the moveable arm.

    摘要翻译: 用于在体表中植入滤泡单元的方法包括(i)获取和处理身体表面的图像以识别身体表面上的植入部位,(ii)使用包括可移动臂的自动化系统来定位安装在 所述可移动臂移动到与所述植入部位相邻的位置,(ii)通过所述植入工具相对于所述身体表面的移动来将毛囊单元植入所述体表中,其中,从安装在所述可移动臂上的一个或多个照相机获得所述图像。

    AUTOMATED SYSTEM FOR HARVESTING OR IMPLANTING FOLLICULAR UNITS
    67.
    发明申请
    AUTOMATED SYSTEM FOR HARVESTING OR IMPLANTING FOLLICULAR UNITS 有权
    用于收集或植入单体的自动化系统

    公开(公告)号:US20070106306A1

    公开(公告)日:2007-05-10

    申请号:US11380907

    申请日:2006-04-28

    IPC分类号: A61B17/50

    摘要: An automated system for harvesting or implanting follicular units, including a moveable arm; a harvesting and/or implantation tool mounted on the moveable arm; one or more cameras mounted on the moveable arm; a processor configured to receive and process images acquired by the one or more cameras; and a controller operatively associated with the processor and configured to position the moveable arm based, at least in part, on processed images acquired by the one or more cameras, wherein the moveable arm is positionable such that the tool may be positioned at a desired orientation relative to an adjacent body surface.

    摘要翻译: 用于收获或植入滤泡单元的自动化系统,包括可动臂; 安装在可移动臂上的收获和/或植入工具; 安装在可移动臂上的一个或多个相机; 处理器,被配置为接收和处理由所述一个或多个摄像机获取的图像; 以及控制器,其与所述处理器可操作地相关联并且被配置为至少部分地基于由所述一个或多个照相机获取的经处理的图像来定位所述可移动臂,其中所述可移动臂可定位成使得所述工具可以被定位在期望的取向 相对于相邻的身体表面。

    Methods and Systems for Directing Movement of a Tool in Hair Transplantation Procedures

    公开(公告)号:US20190151028A1

    公开(公告)日:2019-05-23

    申请号:US16259079

    申请日:2019-01-28

    摘要: Methods and systems are provided useful in various procedures, including hair harvesting and implantation, and further including computer-implemented and/or robotic hair transplantation. Methodologies are provided which enable selection of follicular unit harvesting or implanting sites within the same row in a direction of travel of the tool, or by incrementing to another row. In various cases, such selection may be made using a lowest and closest method, overlap-based methods, position-based methods, pattern-based methods, and/or a combination of these methods. In various combinations of the methods, the output selection from one of the methods may be used as an input for one of the other methods.