本文介绍膝关节术前测量DetectKneeKeypointXRay的语法及示例。

功能描述

DetectKneeKeypointXRay可以对输入的下肢全长片正位片,检测到的关键点坐标及其位置标签(最多20个,左右各10个)。

前提条件

请确保您已开通图像分析处理,若未开通服务请立即开通

输入限制

  • 图片格式:JPEG、JPG、PNG、DCM。
  • 图像大小:图像大小不超过100M。
  • URL地址中不能包含中文字符。

调试

您可以在OpenAPI Explorer中直接运行该接口,免去您计算签名的困扰。运行成功后,OpenAPI Explorer可以自动生成SDK代码示例。

请求参数

名称 类型 是否必选 示例值 描述
Action String DetectKneeKeypointXRay

系统规定参数。取值:DetectKneeKeypointXRay。

DataFormat String png

图片的格式。目前只支持以下几种:jpeg,jpg,png,dcm。

ImageUrl String https://viapi-test.oss-cn-shanghai.aliyuncs.com/test-team/xuhan/8%E6%9C%88%E4%BB%BD%E5%8C%BB%E7%96%97/sample_png_1.png

图片URL地址。当前仅支持上海地域的OSS链接,如何生成URL请参见生成URL

OrgId String 0001

数据来源机构代码。

OrgName String weiyi

数据来源机构名称。

TracerId String 123

提供用户自定义TracerID的功能,为本次请求指定一个ID便于跟踪。

返回数据

名称 类型 示例值 描述
Data Struct

返回的结果数据内容。

ImageUrl String https://viapi-test.oss-cn-shanghai.aliyuncs.com/test-team/xuhan/8%E6%9C%88%E4%BB%BD%E5%8C%BB%E7%96%97/sample_png_1.png

图片URL地址,与请求参数中的ImageUrl一致。

KeyPoints Array of KeyPoints

算法返回的结果。

Coordinates List [198,0]

点的坐标[x1,y1,x2,y2],左上角点(x1,y1),右下角点(x2,y2)

Tag Struct

数据结构。

Direction String R

方向,L表示左,R表示右。

Label String v1

点的标签。

  • V1:股骨头中心
  • V2:股骨中心(上下中心+髓腔中心)
  • V3:股骨平台外侧
  • V4:股骨膝关节中心
  • V5:股骨平台内侧
  • V6:胫骨平台外侧
  • V7:胫骨膝关节中心
  • V8:景观平台内侧
  • V9:胫骨中心(上下中心+髓腔中心)
  • V10:踝关节中心
Value Float 0.3920471668243408

概率值。

OrgId String 0001

数据来源机构代码,与请求参数中的OrgId一致。

OrgName String weiyi

数据来源机构名称,与请求参数中的OrgName一致。

RequestId String ADF539E2-893F-490D-9553-F4415331FE4D

请求ID。

示例

请求示例

http(s)://[Endpoint]/?Action=DetectKneeKeypointXRay
&DataFormat=png
&ImageUrl=https://viapi-test.oss-cn-shanghai.aliyuncs.com/test-team/xuhan/8%E6%9C%88%E4%BB%BD%E5%8C%BB%E7%96%97/sample_png_1.png
&OrgId=0001
&OrgName=weiyi
&TracerId=123
&<公共请求参数>

正常返回示例

XML 格式

<RequestId>ADF539E2-893F-490D-9553-F4415331FE4D</RequestId>
<Data>
    <OrgId>0001</OrgId>
    <KeyPoints>
        <Coordinates>198</Coordinates>
        <Coordinates>0</Coordinates>
        <Value>0.3920471668243408</Value>
        <Tag>
            <Label>v1</Label>
            <Direction>R</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>101</Coordinates>
        <Coordinates>426</Coordinates>
        <Value>0.709830105304718</Value>
        <Tag>
            <Label>v2</Label>
            <Direction>R</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>146</Coordinates>
        <Coordinates>103</Coordinates>
        <Value>0.326011061668396</Value>
        <Tag>
            <Label>v3</Label>
            <Direction>R</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>152</Coordinates>
        <Coordinates>103</Coordinates>
        <Value>0.5343582630157471</Value>
        <Tag>
            <Label>v4</Label>
            <Direction>R</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>254</Coordinates>
        <Coordinates>116</Coordinates>
        <Value>0.681907594203949</Value>
        <Tag>
            <Label>v5</Label>
            <Direction>R</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>3</Coordinates>
        <Coordinates>93</Coordinates>
        <Value>0.32550984621047974</Value>
        <Tag>
            <Label>v6</Label>
            <Direction>R</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>149</Coordinates>
        <Coordinates>106</Coordinates>
        <Value>0.9705429077148438</Value>
        <Tag>
            <Label>v7</Label>
            <Direction>R</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>251</Coordinates>
        <Coordinates>119</Coordinates>
        <Value>0.6277104616165161</Value>
        <Tag>
            <Label>v8</Label>
            <Direction>R</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>171</Coordinates>
        <Coordinates>153</Coordinates>
        <Value>0.2979351282119751</Value>
        <Tag>
            <Label>v9</Label>
            <Direction>R</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>299</Coordinates>
        <Coordinates>329</Coordinates>
        <Value>0.1713046133518219</Value>
        <Tag>
            <Label>v10</Label>
            <Direction>R</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>350</Coordinates>
        <Coordinates>217</Coordinates>
        <Value>0.6529710292816162</Value>
        <Tag>
            <Label>v1</Label>
            <Direction>L</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>392</Coordinates>
        <Coordinates>329</Coordinates>
        <Value>0.5352941751480103</Value>
        <Tag>
            <Label>v2</Label>
            <Direction>L</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>344</Coordinates>
        <Coordinates>121</Coordinates>
        <Value>0.27702343463897705</Value>
        <Tag>
            <Label>v3</Label>
            <Direction>L</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>340</Coordinates>
        <Coordinates>154</Coordinates>
        <Value>0.2746117115020752</Value>
        <Tag>
            <Label>v4</Label>
            <Direction>L</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>337</Coordinates>
        <Coordinates>153</Coordinates>
        <Value>0.5176264643669128</Value>
        <Tag>
            <Label>v5</Label>
            <Direction>L</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>344</Coordinates>
        <Coordinates>122</Coordinates>
        <Value>0.43878501653671265</Value>
        <Tag>
            <Label>v6</Label>
            <Direction>L</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>241</Coordinates>
        <Coordinates>321</Coordinates>
        <Value>0.5788975954055786</Value>
        <Tag>
            <Label>v7</Label>
            <Direction>L</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>340</Coordinates>
        <Coordinates>154</Coordinates>
        <Value>0.38519006967544556</Value>
        <Tag>
            <Label>v8</Label>
            <Direction>L</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>392</Coordinates>
        <Coordinates>327</Coordinates>
        <Value>0.23624108731746674</Value>
        <Tag>
            <Label>v9</Label>
            <Direction>L</Direction>
        </Tag>
    </KeyPoints>
    <KeyPoints>
        <Coordinates>219</Coordinates>
        <Coordinates>457</Coordinates>
        <Value>0.07069363445043564</Value>
        <Tag>
            <Label>v10</Label>
            <Direction>L</Direction>
        </Tag>
    </KeyPoints>
    <ImageUrl>http://viapi-test.oss-cn-shanghai-internal.aliyuncs.com/test-team/xuhan/8%E6%9C%88%E4%BB%BD%E5%8C%BB%E7%96%97/sample_png_1.png</ImageUrl>
    <OrgName>weiyi</OrgName>
</Data>

JSON 格式

{
    "RequestId": "ADF539E2-893F-490D-9553-F4415331FE4D",
    "Data": {
        "OrgId": 1,
        "KeyPoints": [
            {
                "Coordinates": [
                    198,
                    0
                ],
                "Value": 0.3920471668243408,
                "Tag": {
                    "Label": "v1",
                    "Direction": "R"
                }
            },
            {
                "Coordinates": [
                    101,
                    426
                ],
                "Value": 0.709830105304718,
                "Tag": {
                    "Label": "v2",
                    "Direction": "R"
                }
            },
            {
                "Coordinates": [
                    146,
                    103
                ],
                "Value": 0.326011061668396,
                "Tag": {
                    "Label": "v3",
                    "Direction": "R"
                }
            },
            {
                "Coordinates": [
                    152,
                    103
                ],
                "Value": 0.5343582630157471,
                "Tag": {
                    "Label": "v4",
                    "Direction": "R"
                }
            },
            {
                "Coordinates": [
                    254,
                    116
                ],
                "Value": 0.681907594203949,
                "Tag": {
                    "Label": "v5",
                    "Direction": "R"
                }
            },
            {
                "Coordinates": [
                    3,
                    93
                ],
                "Value": 0.32550984621047974,
                "Tag": {
                    "Label": "v6",
                    "Direction": "R"
                }
            },
            {
                "Coordinates": [
                    149,
                    106
                ],
                "Value": 0.9705429077148438,
                "Tag": {
                    "Label": "v7",
                    "Direction": "R"
                }
            },
            {
                "Coordinates": [
                    251,
                    119
                ],
                "Value": 0.6277104616165161,
                "Tag": {
                    "Label": "v8",
                    "Direction": "R"
                }
            },
            {
                "Coordinates": [
                    171,
                    153
                ],
                "Value": 0.2979351282119751,
                "Tag": {
                    "Label": "v9",
                    "Direction": "R"
                }
            },
            {
                "Coordinates": [
                    299,
                    329
                ],
                "Value": 0.1713046133518219,
                "Tag": {
                    "Label": "v10",
                    "Direction": "R"
                }
            },
            {
                "Coordinates": [
                    350,
                    217
                ],
                "Value": 0.6529710292816162,
                "Tag": {
                    "Label": "v1",
                    "Direction": "L"
                }
            },
            {
                "Coordinates": [
                    392,
                    329
                ],
                "Value": 0.5352941751480103,
                "Tag": {
                    "Label": "v2",
                    "Direction": "L"
                }
            },
            {
                "Coordinates": [
                    344,
                    121
                ],
                "Value": 0.27702343463897705,
                "Tag": {
                    "Label": "v3",
                    "Direction": "L"
                }
            },
            {
                "Coordinates": [
                    340,
                    154
                ],
                "Value": 0.2746117115020752,
                "Tag": {
                    "Label": "v4",
                    "Direction": "L"
                }
            },
            {
                "Coordinates": [
                    337,
                    153
                ],
                "Value": 0.5176264643669128,
                "Tag": {
                    "Label": "v5",
                    "Direction": "L"
                }
            },
            {
                "Coordinates": [
                    344,
                    122
                ],
                "Value": 0.43878501653671265,
                "Tag": {
                    "Label": "v6",
                    "Direction": "L"
                }
            },
            {
                "Coordinates": [
                    241,
                    321
                ],
                "Value": 0.5788975954055786,
                "Tag": {
                    "Label": "v7",
                    "Direction": "L"
                }
            },
            {
                "Coordinates": [
                    340,
                    154
                ],
                "Value": 0.38519006967544556,
                "Tag": {
                    "Label": "v8",
                    "Direction": "L"
                }
            },
            {
                "Coordinates": [
                    392,
                    327
                ],
                "Value": 0.23624108731746674,
                "Tag": {
                    "Label": "v9",
                    "Direction": "L"
                }
            },
            {
                "Coordinates": [
                    219,
                    457
                ],
                "Value": 0.07069363445043564,
                "Tag": {
                    "Label": "v10",
                    "Direction": "L"
                }
            }
        ],
        "ImageUrl": "http://viapi-test.oss-cn-shanghai-internal.aliyuncs.com/test-team/xuhan/8%E6%9C%88%E4%BB%BD%E5%8C%BB%E7%96%97/sample_png_1.png",
        "OrgName": "weiyi"
    }
}

错误码

关于膝关节术前测量的错误码。详情请参见常见错误码

SDK参考

阿里云视觉AI能力支持使用SDK调用,具体可参见SDK总览下载安装。

安全声明

  • 请确保上传的图片或文件来源符合相应的法律法规。
  • 通过体验调试上传的临时文件有效期为1小时,在24小时后会被系统自动清理删除。