Paper
27 January 2011 Detection of the aortic intimal tears by using 3D digital topology
Christophe Lohou, Bruno Miguel
Author Affiliations +
Proceedings Volume 7864, Three-Dimensional Imaging, Interaction, and Measurement; 78640Z (2011) https://doi.org/10.1117/12.877825
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
Aortic dissection is a real problem of public health, it is a medical emergency and may quickly lead to death. Aortic dissection is caused by aortal tissue perforation because of blood pressure. It consists of tears (or holes of the intimal tissue) inside lumens. These tears are difficult to detect because they do not correspond to a filled organ to segment; they are usually visually retrieved by radiologists by examining gray level variation on successive image slices, but it remains a very difficult and error-prone task. Our purpose is to detect these intimal tears to help cardiac surgeons in making diagnosis. It would be useful either during a preoperative phase (visualization and location of tears, endoprothesis sizing); or during a peroperative phase (a registration of tears on angiographic images would lead to a more accuracy of surgeon's gestures and thus would enhance care of patient). At this aim, we use Aktouf et al.'s holes filling algorithm proposed in the field of digital topology. This algorithm permits the filling of holes of a 3D binary object by using topological notions - the holes are precisely the intimal tears for our aortic dissection images, after a first preprocessing step. As far as we know, this is the first time that such a proposal is made, even if it is a crucial data for cardiac surgeons. Our study is a preliminary and innovative work; our results are nevertheless considered satisfactory. This approach would also gain to be known to specialists of other diseases.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christophe Lohou and Bruno Miguel "Detection of the aortic intimal tears by using 3D digital topology", Proc. SPIE 7864, Three-Dimensional Imaging, Interaction, and Measurement, 78640Z (27 January 2011); https://doi.org/10.1117/12.877825
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Cited by 3 scholarly publications.
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KEYWORDS
3D image processing

Image segmentation

Binary data

Surgery

Image processing

Tissues

Blood

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