Fast CT anatomic localization algorithm

• URL: http://arxiv.org/abs/2312.02941v1
• Date: Tue, 5 Dec 2023 18:09:47 GMT
• Title: Fast CT anatomic localization algorithm
• Authors: Amit Oved
• Abstract summary: We show how to automatically determine the position of every slice in a CT scan. We use a linear model which maps slice index to its estimated axial anatomical position based on those slices. This approach proves to be both computationally efficient, with a typical processing time of less than a second per scan.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Automatically determining the position of every slice in a CT scan is a basic yet powerful capability allowing fast retrieval of region of interest for visual inspection and automated analysis. Unlike conventional localization approaches which work at the slice level, we directly localize only a fraction of the slices and and then fit a linear model which maps slice index to its estimated axial anatomical position based on those slices. The model is then used to assign axial position to every slices of the scan. This approach proves to be both computationally efficient, with a typical processing time of less than a second per scan (regardless of its size), accurate, with a typical median localization error of 1 cm, and robust to different noise sources, imaging protocols, metal induced artifacts, anatomical deformations etc. Another key element of our approach is the introduction of a mapping confidence score. This score acts as a fail safe mechanism which allows a rejection of unreliable localization results in rare cases of anomalous scans. Our algorithm sets new State Of The Art results in terms of localization accuracy. It also offers a decrease of two orders of magnitude in processing time with respect to all published processing times. It was designed to be invariant to various scan resolutions, scan protocols, patient orientations, strong artifacts and various deformations and abnormalities. Additionally, our algorithm is the first one to the best of our knowledge which supports the entire body from head to feet and is not confined to specific anatomical region. This algorithm was tested on thousands of scans and proves to be very reliable and useful as a preprocessing stage for many applications.

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