title: Ð¡ÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½Ð°Ñ Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¾Ð±ÑÐµÐºÑÐ°, Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ CUDA
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Model-based medical image segmentation via CUDA
Creators: name: ÐÐ¾Ð·Ð¸Ð³ÑÐ½, ÐÐ¸ÑÐ°Ð¸Ð»
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: Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ°Ñ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ
Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½Ð°Ñ Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ
Ð¼Ð°ÑÑ-Ð¿ÑÑÐ¶Ð¸Ð½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ
medical images
image segmentation
automatic segmentation
model-based segmentation
mass-spring model

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¾Ð¿ÑÐ¸Ð¼Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¾Ð´Ð½Ð¾Ð³Ð¾ Ð¸Ð· Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ ÑÑÑÑÐ¼ÐµÑÐ½ÑÑ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ CUDA. Ð ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð¿Ð°ÑÐ°Ð»Ð»ÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½ÑÐ¹ Ð½Ð° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ðµ Ð´ÐµÑÐ¾ÑÐ¼Ð¸ÑÑÐµÐ¼Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð¸Ð½ÑÐµÑÐµÑÐ° (Ð°Ð½Ð³Ð». model-based segmentation). Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð±ÑÐ» ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ Ð½Ð° ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ Ð³ÑÐ°ÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¿ÑÐ¾ÑÐµÑÑÐ¾ÑÐ°Ñ NVIDIA. Ð¡Ð¾Ð³Ð»Ð°ÑÐ½Ð¾ Ð¿ÑÐ¾Ð²ÐµÐ´ÑÐ½Ð½Ð¾Ð¼Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ñ, Ð¾Ð½ Ð¿Ð¾ÐºÐ°Ð·ÑÐ²Ð°ÐµÑ Ð¿ÑÐ¸ÑÐ¾ÑÑ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÐ¸ Ð² ÑÑÐµÐ´Ð½ÐµÐ¼ Ð² 1.3 ÑÐ°Ð·Ð° Ð² ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ð¸ Ñ Ð°Ð½Ð°Ð»Ð¾Ð³Ð°Ð¼Ð¸, Ð½Ðµ ÑÐµÑÑÑ Ð² ÐºÐ°ÑÐµÑÑÐ²Ðµ. Ð¢Ð°ÐºÐ¶Ðµ Ð² ÑÐ°Ð¼ÐºÐ°Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¿Ð¾Ð»ÑÐ°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ ÐºÐ¾ÑÑÐµÐºÑÐ¸ÑÐ¾Ð²ÐºÐ¸ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸, Ð¿Ð¾Ð»ÑÑÐ°ÐµÐ¼Ð¾Ð¹ Ð½Ð° Ð²ÑÑÐ¾Ð´Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÑÐ°ÑÑÑÑÐ° Ð¿Ð¾Ð»Ð¸Ð³Ð¾Ð½Ð°Ð»ÑÐ½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸. Ð£Ð½Ð¸ÐºÐ°Ð»ÑÐ½Ð¾ÑÑÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÐºÐ¾ÑÑÐµÐºÑÐ¸ÑÐ¾Ð²ÐºÐ¸ Ð¿Ð¾Ð»Ð¸Ð³Ð¾Ð½Ð°Ð»ÑÐ½Ð¾Ð¹ ÑÐµÑÐºÐ¸ ÑÐ²Ð»ÑÐµÑÑÑ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð½ÑÐ¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð°ÑÑ-Ð¿ÑÑÐ¶Ð¸Ð½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÐ¸Ð¹ Ð´Ð²ÑÑÐ¼ÐµÑÐ½ÑÑ Ð¿Ð¾Ð¿Ð¸ÐºÑÐµÐ»ÑÐ½ÑÑ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ñ ÑÑÐµÐ·Ð° ÑÐµÐ³Ð¼ÐµÐ½ÑÐ¸ÑÑÐµÐ¼Ð¾Ð³Ð¾ ÑÑÑÑÐ¼ÐµÑÐ½Ð¾Ð³Ð¾ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ. ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ ÑÐ¼ÐµÑÐµÐ½Ð¸Ð¹ ÑÐ·Ð»Ð¾Ð² Ð¿Ð¾Ð»Ð¸Ð³Ð¾Ð½Ð°Ð»ÑÐ½Ð¾Ð¹ ÑÐµÑÐºÐ¸, Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ Ð¿Ð¾ÑÑÐµÐ´ÑÑÐ²Ð¾Ð¼ Ð¿Ð¾Ð¿Ð¸ÐºÑÐµÐ»ÑÐ½Ð¾Ð¹ ÑÐµÐ³Ð¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸, Ð²ÑÐ¿Ð¾Ð»Ð½ÑÐµÑÑÑ Ð´ÐµÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ Ð¾ÑÑÐ°Ð»ÑÐ½ÑÑ ÑÐ·Ð»Ð¾Ð² Ð¿Ð¾Ð»Ð¸Ð³Ð¾Ð½Ð°Ð»ÑÐ½Ð¾Ð¹ ÑÐµÑÐºÐ¸.
description: The given work is devoted to optimization of the one of fully automatic medical image segmentation algorithms using CUDA. The developed parallel algorithm based on the model-based segmentation algorithm is presented in this work. The developed algorithm has been implemented on the modern NVIDIA graphics processing unit. According to the analysis that has been made, the developed algorithm shows performance increase in average of the factor of 1.3 in comparing with analogs without loss in segmentation quality. Besides semi-automatic algorithm used for adjustment of segmentation polygonal model has been developed. The key feature of the proposed algorithm consists in the developed mass-spring model that uses two-dimensional pixel-wise segmentation mask of the slice taken from the segmented three-dimensional image. Basing on the displacements calculated on the segmented pixels, the deformation of the entire polygonal mesh is performed.