New Carotid Artery Stenosis Measurement Method Using MRA Images

경동맥 MRA 영상을 이용한 새로운 내경 측정 방법

  • 김도연 (한국전력기술㈜ 원자로설계개발단) ;
  • 박종원 (충남대학교 정보통신공학과)
  • Published : 2003.12.01

Abstract

Currently. the north american symptomatic carotid endarterectomy trial, european carotid surgery trial, and common carotid method are used to measure the carotid stenosis for determining candidate for carotid endarterectomy using the projection angiography from different modalities such as digital subtraction angiography. rotational angiography, computed tomography angiography and magnetic resonance angiography. A new computerized carotid stenosis measuring system was developed using MR angiography axial image to overcome the drawbacks of conventional carotid stenosis measuring methods, to reduce the variability of inter-observer and intra-observer. The gray-level thresholding is one of the most popular and efficient method for image segmentation. We segmented the carotid artery and lumen from three-dimensional time-of-flight MRA axial image using gray-level thresholding technique. Using the measured intima-media thickness value of common carotid artery for each cases, we separated carotid artery wall from the segmented carotid artery region. After that, the regions of segmented carotid without artery wall were divided into region of blood flow and plaque. The calculation of carotid stenosis degree was performed as the following; carotid stenosis grading is(area measure of plaque/area measure of blood flow region and plaque) * 100%.

현재 경동맥 내막절제술 시행을 위한 경동맥 협착증의 정도 측정에는 디지털감산조영술(DSA), 회전조영술(rotational angiography), 컴퓨터단층조영술(CTA) 및 자기공명조영술(MRA)로부터 얻어진 경동맥의 투영 영상을 이용하여 북미, 유럽 표준 및 총경동맥 방법이 사용되고 있다. 본 논문에서는 기존의 기계적인 측경기를 이용하는 전형적인 경동맥 협착 측정 방법의 단점을 극복하고, 측정자간의 변화율을 최소화하기 위해 자기공명조영술의 단면 영상을 사용하고 컴퓨터화한 새로운 협착증 정도 측정 방법을 개발하였다. 영상 분할에 사용되는 방법중 가장 널리 사용되고 효율적인 명암값 임계치 방법을 사용하여 경동맥 및 동맥의 내강을 분할하였다. 또한, 각 증례의 측정된 총경동맥의 혈관두께를 사용하여 분할된 경동맥으로부터 혈관을 제거 하였고, 혈관이 제거된 경동맥을 혈류 영역과 플라그 영역으로 분할하였다. 각 단면 영상에서의 경동맥 협착증 정도 측정은 (분할된 플라그 영역/혈류영역 및 플라그를 합한 면적) * 100% 식으로 계산된다.

Keywords

References

  1. F. Rodrignez, 'Screening for Carotid Artery Stenosis and Performance of Carotid Endarterectomy in Select Asymptomatic Patients of Cost- effective,' McGill Journal of Medicine. pp. 35-41. 1999
  2. North American Symptomatic Carotid Endarte-rectomy Trial Collaborators, 'Beneficial Effects of Carotid Endarterectomy in Symptomatic Patients with High-Grade Carotid Stenosis.' New England Journal of Medicine, Volume 325, pp. 445-453, 1991 https://doi.org/10.1056/NEJM199108153250701
  3. European Carotid Surgery Trialists' Collaborative Group, 'Randomized Trial of Endarterectomy for Recently Symptomatic Carotid Stenosis : Final Results of the MRC European Carotid Surgery Trial (ECST),' Lancet, Volume 351, pp. 1379-1387, 1998 https://doi.org/10.1016/S0140-6736(97)09292-1
  4. P.M. Rothwell, R.J. Gibson, J. Slattery, C.P. Warlow, 'Prognostic Value and Reproducibility of Measurements of Carotid Stenosis : A Comparison of Three Methods on 1001 Angiograms,' Stroke, Volume 25, pp. 2440-2444, 1994 https://doi.org/10.1161/01.STR.25.12.2440
  5. S.J. Hessel, D.F. Adams, H.L. Abrams, 'Complications of Angiography,' Radiology, Volume 138, pp. 273-281, 1981 https://doi.org/10.1148/radiology.138.2.7455105
  6. P.M. Rothwell, R.J. Gibson, J. Slattery, R.J. Sellar, C.P. Warlow, 'Equivalence of Measurements of Carotid Stenosis : A Comparison of Three Methods on 1001 Angiogram,' Stroke, Volume 25, pp. 2435-2439, 1994 https://doi.org/10.1161/01.STR.25.12.2435
  7. NEMA Draft Standards, 'Digital Imaging and Communications in Medicine (DICOM),' Part 1-14
  8. M.J. Calotto, 'Histogram Analysis Using a Scale-Space Approach,' IEEE Transaction on PAMI, pp. 121-129, 1987
  9. J.R. Parker, Algorithms for Image Processing and Computer Vision, pp, 177-179, John-Wiley & Sons, Inc, 1997
  10. R.C. Gonzalez, R.E. Woods, Digital Image Processing, pp. 491-494, Addison-Wesley, 1992