مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

611
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

ADVENTITIA BOUNDARY EXTRACTION OF BLOOD VESSELS IN IVUS IMAGES BASED ON OPTIMIZED MINIMAX METHOD AND CONNECTED COMPONENT

Pages

  326-338

Abstract

IVUS imaging is a minimally invasive blood vessel cross-sectional imaging procedure in which accurate data is obtained from what is in there. Processing on these images or raw signals can provide a wide range information for experts and practitioners, and can help them in making an accurate diagnosis and appropriate treatment. Extraction of tissue boundaries in the blood vessels is one of the challenging part as a first step in this direction. In this paper a new method was proposed based on the MINIMAX technique and CONNECTED COMPONENTs for extracting ADVENTITIA tissue boundary in intravascular ultrasound images. For this purpose, initial boundary will be extracted using improved MINIMAX technique. Then final boundary is extracted with high precision using a CONNECTED COMPONENTs. The method was tested on a set of real data with regard to the Hausdorff distance and Jaccard index to evaluate its performance. Mean of Hausdorff distance and mean of Jaccard index were obtained 95% and 0.45 millimeter, consequently. These results show that the proposed method in this paper can extract ADVENTITIA tissue boundaries more accurately than existing methods with regard to the distance Hausdorff distance and Jaccard index.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    KERMANI, ALI, AYATOLLAHI, AHMAD, & MOHAJERANI, SOROUR. (2015). ADVENTITIA BOUNDARY EXTRACTION OF BLOOD VESSELS IN IVUS IMAGES BASED ON OPTIMIZED MINIMAX METHOD AND CONNECTED COMPONENT. IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, 8(4), 326-338. SID. https://sid.ir/paper/81645/en

    Vancouver: Copy

    KERMANI ALI, AYATOLLAHI AHMAD, MOHAJERANI SOROUR. ADVENTITIA BOUNDARY EXTRACTION OF BLOOD VESSELS IN IVUS IMAGES BASED ON OPTIMIZED MINIMAX METHOD AND CONNECTED COMPONENT. IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING[Internet]. 2015;8(4):326-338. Available from: https://sid.ir/paper/81645/en

    IEEE: Copy

    ALI KERMANI, AHMAD AYATOLLAHI, and SOROUR MOHAJERANI, “ADVENTITIA BOUNDARY EXTRACTION OF BLOOD VESSELS IN IVUS IMAGES BASED ON OPTIMIZED MINIMAX METHOD AND CONNECTED COMPONENT,” IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, vol. 8, no. 4, pp. 326–338, 2015, [Online]. Available: https://sid.ir/paper/81645/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button