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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sonka, M. Xiangmin Zhang Siebes, M. Dejong, S. McKay, C.R. Collins, S.M. |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA (Sonka, M.) |
| Abstract | The authors report an automated method for segmentation of intravascular ultrasound image (IVUS) sequences that uses a priori knowledge about coronary anatomy and ultrasound physics. External and internal elastic laminae and plaque borders are automatically identified as globally optimal borders using a graph searching approach that detects dual echoes demarcating the coronary wall. The method was applied to six image sequences acquired at a single location in 3 minimally diseased cadaveric left anterior descending coronary arteries subjected to 4 static pressures ranging from 50 to 200 mmHg. A good correlation was obtained between computer identified and observer-defined lumen and plaque areas (r=0.91, y=1.04x-0.50; r=0.83, y=1.08x+0.06; respectively). Border positions were quite accurate with a root-mean-square border positioning error of 0.10/spl plusmn/0.03 mm. The authors' results demonstrate the feasibility of automated border detection in IVUS coronary sequences.< |
| Starting Page | 281 |
| Ending Page | 284 |
| File Size | 506309 |
| Page Count | 4 |
| File Format | |
| ISBN | 081866570X |
| DOI | 10.1109/CIC.1994.470195 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-09-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Ultrasonic imaging Image sequences Image edge detection Anatomy Physics Arteries Image analysis Pixel Biomedical engineering |
| Content Type | Text |
| Resource Type | Article |
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