Open AccessAutomated Extraction of Anatomical Measurements From Temporal Bone CT Imaging
Author(s) -
Ding Andy S.,
Lu Alexander,
Li Zhaoshuo,
Galaiya Deepa,
Ishii Masaru,
Siewerdsen Jeffrey H.,
Taylor Russell H.,
Creighton Francis X.
Publication year - 2022
Publication title -
otolaryngology–head and neck surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.232
H-Index - 121
eISSN - 1097-6817
pISSN - 0194-5998
DOI - 10.1177/01945998221076801
Subject(s) - temporal bone , segmentation , malleus , artificial intelligence , ground truth , cone beam computed tomography , computer science , nuclear medicine , biomedical engineering , computer vision , anatomy , medicine , computed tomography , radiology , middle ear , stapes
Objective Proposed methods of minimally invasive and robot‐assisted procedures within the temporal bone require measurements of surgically relevant distances and angles, which often require time‐consuming manual segmentation of preoperative imaging. This study aims to describe an automatic segmentation and measurement extraction pipeline of temporal bone cone‐beam computed tomography (CT) scans. Study Design Descriptive study of temporal bone measurements. Setting Academic institution. Methods A propagation template composed of 16 temporal bone CT scans was formed with relevant anatomical structures and landmarks manually segmented. Next, 52 temporal bone CT scans were autonomously segmented using deformable registration techniques from the Advanced Normalization Tools Python package. Anatomical measurements were extracted via in‐house Python algorithms. Extracted measurements were compared to ground truth values from manual segmentations. Results Paired t test analyses showed no statistical difference between measurements using this pipeline and ground truth measurements from manually segmented images. Mean (SD) malleus manubrium length was 4.39 (0.34) mm. Mean (SD) incus short and long processes were 2.91 (0.18) mm and 3.53 (0.38) mm, respectively. The mean (SD) maximal diameter of the incus long process was 0.74 (0.17) mm. The first and second facial nerve genus had mean (SD) angles of 68.6 (6.7) degrees and 111.1 (5.3) degrees, respectively. The facial recess had a mean (SD) span of 3.21 (0.46) mm. Mean (SD) minimum distance between the external auditory canal and tegmen was 3.79 (1.05) mm. Conclusions This is the first study to automatically extract relevant temporal bone anatomical measurements from CT scans using segmentation propagation. Measurements from these models can streamline preoperative planning, improve future segmentation techniques, and help develop future image‐guided or robot‐assisted systems for temporal bone procedures.