Automated Estimation of Anatomical Risk Metrics for Endoscopic Sinus Surgery Using Deep Learning
Endoscopic sinus surgery requires careful preoperative assessment of the skull base anatomy to minimize risks such as cerebrospinal fluid leakage. Anatomical risk scores like the Keros, Gera and Thailand-Malaysia-Singapore score offer a standardized approach but require time-consuming manual measurements on coronal CT or CBCT scans. We propose an automated deep learning pipeline that estimates these risk scores by localizing key anatomical landmarks via heatmap regression. We compare a direct approach to a specialized global-to-local learning strategy and find mean absolute errors on the relevant anatomical measurements of 0.506mm for the Keros, 4.516° for the Gera and 0.802mm / 0.777mm for the TMS classification.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation
We propose a depth estimation method from a single-shot monocular endoscopic image using Lambertian surface translation by domain adaptation and depth estimation using multi-scale edge loss. We employ a two-step estimati…
Depth EstimationDomain AdaptationTranslationEndoStreamDepth: Temporally Consistent Monocular Depth Estimation for Endoscopic Video Streams
This work presents EndoStreamDepth, a monocular depth estimation framework for endoscopic video streams. It provides accurate depth maps with sharp anatomical boundaries for each frame, temporally consistent predictions …
Monocular Depth EstimationTwo-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization
To facilitate a prospective estimation of CT effective dose and risk minimization process, a prospective spatial dose estimation and the known anatomical structures are expected. To this end, a CT reconstruction method i…
AnatomyCT ReconstructionGenerative Adversarial NetworkOrgan Segmentation+2EndoUFM: Utilizing Foundation Models for Monocular depth estimation of endoscopic images
Depth estimation is a foundational component for 3D reconstruction in minimally invasive endoscopic surgeries. However, existing monocular depth estimation techniques often exhibit limited performance to the varying illu…
Monocular Depth Estimation3D ReconstructionAn Endoscopic Chisel: Intraoperative Imaging Carves 3D Anatomical Models
Purpose: Preoperative imaging plays a pivotal role in sinus surgery where CTs offer patient-specific insights of complex anatomy, enabling real-time intraoperative navigation to complement endoscopy imaging. However, sur…
AnatomyDepth EstimationMonocular Depth Estimation