{
    "created": "2021-07-02 10:19:15",
    "updated": "2026-04-30 22:09:30",
    "id": "03c82ad9-a55b-4ffb-b51a-aee12e916ec7",
    "version": 2,
    "ds_topic": null,
    "title_cn": "基于掩膜优化的多模态医学图像刚性配准",
    "title_en": "Rigid registration of multimodal medical images based on mask optimization",
    "ds_abstract": "<p>本文基于形态学开运算初步去除图像中无需关注的细小区域和部分扫描床，使用最大类间方差法（Otsu）突出感兴趣的图像部位，Canny算子用于提取富含信息区域的边界信息。使用像素填充技术得到图像配准需要的掩膜，并采用OpenMP并行技术加速掩膜计算过程。最终在配准过程中将掩膜作用于参考图像或浮动图像。测试了多组不同模态和部位的算例，实验结果表明基于掩膜优化的多模态医学图像刚性配准方法可以自动去除绝大部分背景图像和扫描床板，节约图像配准中一半以上时间，且图像配准质量并无下降；在1 min内可以完成两组100张左右的图像配准。且本方法以动态链接库的形式成功集成在治疗计划系统DeepPlan中。结结果表明，在保证配准结果准确的基础上，基于掩膜优化的多模态医学图像刚性配准方法显著提高了图像配准速度，且算法稳定性能高，有很好的临床应用前景。</p>",
    "ds_source": "<p>使用的数据图像来源于TCIA网站数据库</p>",
    "ds_process_way": "<p>本研究编写图像配准的程序以动态链接库的形式嵌入计划系统主程序中。</p>",
    "ds_quality": "<p>良好</p>",
    "ds_acq_start_time": "2017-01-01 00:00:00",
    "ds_acq_end_time": "2019-12-31 00:00:00",
    "ds_acq_place": "甘肃兰州",
    "ds_acq_lon_east": null,
    "ds_acq_lat_south": null,
    "ds_acq_lon_west": null,
    "ds_acq_lat_north": null,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 10844012,
    "ds_files_count": 2,
    "ds_format": "pdf",
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    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "03c82ad9-a55b-4ffb-b51a-aee12e916ec7.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "9971252d-7beb-4464-bc08-bdcc5a1d7dd1",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [],
    "quality_level": 3,
    "publish_time": "2023-11-27 10:23:35",
    "last_updated": "2023-11-27 10:23:35",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.IMP.DB4086.2023",
    "i18n": {
        "en": {
            "title": "Rigid registration of multimodal medical images based on mask optimization",
            "ds_format": "",
            "ds_source": "<p>The data images used are from TCIA website database</p>",
            "ds_quality": "<p>good</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>In this paper, based on morphological operation, the small areas and part of the scanning table in the image are removed, the Otsu method is used to highlight the interested image parts, and Canny operator is used to extract the boundary information of the information rich areas. The pixel filling technology is used to get the mask needed for image registration, and OpenMP parallel technology is used to speed up the mask calculation process. Finally, the mask is applied to the reference image or floating image in the registration process. The experimental results show that the rigid registration method based on mask optimization can automatically remove most of the background image and scanning bed, save more than half of the time in image registration, and the image registration quality does not decline; Two groups of about 100 images can be registered in one minute. The method is successfully integrated into the treatment planning system deepplan in the form of dynamic link library. The results show that, on the basis of ensuring the accuracy of registration results, the rigid registration method of multimodal medical image based on mask optimization can significantly improve the speed of image registration, and the algorithm has high stability performance, which has a good clinical application prospect.</p>",
            "ds_time_res": "",
            "ds_acq_place": "Lanzhou, Gansu",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>In this study, the image registration program is embedded in the main program of planning system in the form of dynamic link library.</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "doi_reg_from": "reg_local",
    "cstr_reg_from": "reg_local",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "is_paper_in_submitting": false,
    "ds_topic_tags": [
        "医学图像处理",
        "刚性配准",
        "掩膜",
        "多模态"
    ],
    "ds_subject_tags": [],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "兰州",
        "甘肃省"
    ],
    "ds_time_tags": [
        2018
    ],
    "ds_contributors": [
        {
            "true_name": "肖国青",
            "email": "xiaogq@impcas.ac.cn",
            "work_for": "中国科学院近代物理研究所",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "肖国青",
            "email": "xiaogq@impcas.ac.cn",
            "work_for": "中国科学院近代物理研究所",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "肖国青",
            "email": "xiaogq@impcas.ac.cn",
            "work_for": "中国科学院近代物理研究所",
            "country": "中国"
        }
    ],
    "category": "其他"
}