基于图像的下和上分片和使用计算机断层扫描 (IMPACT) 的注释:基于深度学习的临床工具用于牙剂量估计和骨质放射性瘤评估
Laia Humbert-Vidan1, Austin H Castelo2, Renjie He1
1Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Physics and imaging in radiation oncology
|September 2, 2025
概括
一个新的深度学习 (DL) 自动细分框架准确地描绘了CT扫描中的牙结构. 这种工具有助于对头癌患者的辐射瘤剂量评估和牙科护理决策.
科学领域:
- 放射治疗
- 医学成像
- 人工智能
背景情况:
- 在电脑断层扫描 (CT) 图像上精确地描绘牙结构对于放射治疗剂量和牙科治疗计划至关重要.
- 目前对牙,下和上子部分进行细分的方法可能耗时且缺乏精度.
研究的目的:
- 开发和评估个人牙和下/上子子体的深度学习 (DL) 自动细分框架.
- 为了提高临床相关性,将细分与ClinRad骨质放射死结的分期系统保持一致.
主要方法:
- 使用Swin UNETR模型用于下子子体积和两个阶段的ResUNet-Swin UNETR模型用于牙和大子体积,开发了DL自分割框架.
- 模型在60个临床病例的模拟CT图像上进行了训练,手动定义了牙结构.
- 评估了手动和自动细分之间的细分精度,几何精度和剂量量差异.
主要成果:
- DL框架在结构之间实现了不同的细分性能,平均Dice值在0.69到0.85之间.
- 在手动和自动细分之间,膜中部子体积显示出具有统计学意义的剂量体积差异 (D平均值和D2%).
- 该模型在培训数据中不存在的分体上具有有限的适用性.
结论:
- 一个基于DL的新型自动细分框架已成功开发出来.
- 这种工具可实现与剂量相关的差异的空间定位,并有可能增强基于图像的骨损伤检测.
- 该框架可以改善头癌患者的放射瘤和牙科护理的临床决策.
更多相关视频
05:49Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
Published on: February 23, 2024
987
10:23Author Spotlight: Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
Published on: September 8, 2023
3.0K
相关概念视频
01:10Computed Tomography
6.1K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
6.1K
01:27Imaging Studies III: Computed Tomography
50
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
50