title: ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼ Chan-Vese Ð´Ð»Ñ Ð¸Ð½ÑÐµÑÐ°ÐºÑÐ¸Ð²Ð½Ð¾Ð¹ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Chan-Vese algorithm for interactive segmentation of medical images
Creators: name: ÐÐ°ÑÐ¸Ð»ÑÐµÐ², ÐÐµÑÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ
Ð¼ÐµÑÐ¾Ð´ ÑÐ¸ÐºÑÐ°ÑÐ¸Ð¸ ÑÑÐ¾Ð²Ð½Ñ
Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ chan-vese
mitk
Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
segmentation
evel-set method
chan-vese algorithm
medical images

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ° Ð¿Ð¾Ð»ÑÐ°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð§Ð°Ð½Ð°-ÐÐµÐ·Ðµ. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. ÐÐ·ÑÑÐµÐ½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð§Ð°Ð½Ð°-ÐÐµÐ·Ðµ Ð¸ ÐµÐ³Ð¾ Ð¼Ð¾Ð´Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¹ Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ Ð²ÑÐ±Ð¾ÑÐ¾ÑÐ½Ð¾Ð¹ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸. 2. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð²ÑÐ¾Ð´Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ. 3. Ð ÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ° Ð½Ð° Ð±Ð°Ð·Ðµ Ð¿Ð»Ð°ÑÑÐ¾ÑÐ¼Ñ Ñ Ð¾ÑÐºÑÑÑÑÐ¼ Ð¸ÑÑÐ¾Ð´Ð½ÑÐ¼ ÐºÐ¾Ð´Ð¾Ð¼ MITK. 4. Ð§Ð¸ÑÐ»ÐµÐ½Ð½Ð¾Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ Ð½Ð° Ð¾ÑÐºÑÑÑÑÑ Ð´Ð°ÑÐ°ÑÐµÑÐ°Ñ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹. Ð ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð§Ð°Ð½Ð°-ÐÐµÐ·Ðµ Ð² ÐºÐ»Ð°ÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÑÐ¾ÑÐ¼ÑÐ»Ð¸ÑÐ¾Ð²ÐºÐµ, Ð° ÑÐ°ÐºÐ¶Ðµ ÐµÐ³Ð¾ Ð¼Ð¾Ð´Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ Ð²ÑÐ±Ð¾ÑÐ¾ÑÐ½Ð¾Ð¹ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸. ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½Ñ Ð´Ð»Ñ Ð¿Ð¾Ð»ÑÐ°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð¸Ð½ÑÐµÑÐ°ÐºÑÐ¸Ð²Ð½Ð¾Ð¹ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ 2D Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹. ÐÑÑÑÐµÑÑÐ²Ð»ÐµÐ½Ð° ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ° Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¿Ð»Ð°ÑÑÐ¾ÑÐ¼Ñ MITK. ÐÑÐ¾Ð¸Ð·Ð²ÐµÐ´ÐµÐ½Ð° ÑÐ°Ð·Ð¼ÐµÑÐºÐ° 700+ Ð´Ð²ÑÐ¼ÐµÑÐ½ÑÑ ÑÐµÑÐµÐ½Ð¸Ð¹ ÐÐ¢ ÑÐ½Ð¸Ð¼ÐºÐ¾Ð² ÑÐµÑÐ´ÑÐ° Ð¸ ÑÐµÐ»ÐµÐ·ÑÐ½ÐºÐ¸ Ð¸Ð· Ð¾ÑÐºÑÑÑÐ¾Ð³Ð¾ Ð´Ð°ÑÐ°ÑÐµÑÐ° Ð¿ÑÐµÐ´Ð¾ÑÑÐ°Ð²Ð»ÑÐµÐ¼Ð¾Ð³Ð¾ Ð² ÑÐ°Ð¼ÐºÐ°Ñ ÐºÐ¾Ð½ÐºÑÑÑÐ° Â«Medical Segmentation DecathlonÂ». ÐÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ñ Ð·Ð½Ð°ÑÐµÐ½Ð¸Ñ Ð¼ÐµÑÑÐ¸ÐºÐ¸ F1 Ð½Ð° ÑÐ°Ð·Ð¼ÐµÑÐµÐ½Ð½ÑÑ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸ÑÑ. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð±ÑÐ»Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½Ñ Ð¸Ð½ÑÐµÑÐ°ÐºÑÐ¸Ð²Ð½Ð¾Ð¹ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑÐ¸Ð¹ Ð¿Ð¾Ð»ÑÑÐ¸ÑÑ Ð² Ð²ÑÑÐ¾ÐºÐ¾Ðµ ÐºÐ°ÑÐµÑÑÐ²Ð¾ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ (ÑÑÐµÐ´Ð½ÐµÐµ Ð¸ Ð¼ÐµÐ´Ð¸Ð°Ð½Ð½Ð¾Ðµ Ð·Ð½Ð°ÑÐµÐ½Ð¸Ñ Ð¼ÐµÑÑÐ¸ÐºÐ¸ F1 : 0.95), Ð¿ÑÐ¸ Ð½Ð¸Ð·ÐºÐ¾Ð¼ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ðµ Ð²Ð²Ð¾Ð´Ð° Ð¾Ñ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»Ñ (ÑÑÐµÐ´Ð½ÐµÐµ Ð¸ Ð¼ÐµÐ´Ð¸Ð°Ð½Ð½Ð¾Ðµ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾ Ð¾Ð¿Ð¾ÑÐ½ÑÑ ÑÐ¾ÑÐµÐº: 4 ÑÑ.).
description: The given work is devoted to studying of medical image segmentation methods and development of semiautomatic segmentation tool based on the Chan-Vese algorithm. The research set the following goals: 1. Studying the Chan-Vese algorithm and its modifications aimed at selective segmentation. 2. Development of user input data handling algorithm. 3. Tool implementation using the MITK open-source platform. 4. Numerical research of segmentation quality on open medical image datasets. The work presents the Chan-Vese algorithm in its classic formulation as well as its modification aimed at selective segmentation. Based on presented algorithm a semiautomatic interactive segmentation tool was developed. Tool implementation was done using the MITK open-source platform. 700+ 2D slices of spleen and heart CT images from âMedical Segmentation Decathlonâ open dataset have been segmented. F1 score values on segmented data are presented. The work resulted in an interactive medical image segmentation tool which produces high segmentation quality (average and median F1 score of 0.95) with little manual input (mean and median manually placed point numbers of 4).