Abdominal atlas mapping in CT and MR volume images using a normalized abdominal coordinate system

Wang, Hongkai; Bai, Jing; Zhou, Yue; Zhang, Yonghong

doi:10.1016/j.compmedimag.2008.04.004

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…Ehrhardt et al (2001) used a global continuum field to deform generic models of pelvis and femoral heads from the male Visible Human Dataset (VHD) onto the female VHD. Wang et al (2008) used a global affine transformation to position generic models of the liver, spleen, kidneys and vertebrae.…”

Section: Introductionmentioning

confidence: 99%

Combination of a model-deformation method and a positional MRI to quantify the effects of posture on the anatomical structures of the trunk

Lafon

Smith

Beillas

2010

Journal of Biomechanics

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Section: Introductionmentioning

confidence: 99%

Combination of a model-deformation method and a positional MRI to quantify the effects of posture on the anatomical structures of the trunk

Lafon

Smith

Beillas

2010

Journal of Biomechanics

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“…A common coordinate system based on cranial position was designed for predicting gestational age and neurodevelopmental maturation of a fetus ( 19 ). A normalized, abdominal coordinate system, the origin of which was located at the at the geometrical center of the first lumbar vertebra body, was defined in computed tomography (CT) and MR volume images to provide initial positions for abdominal organ segmentation ( 20 ).…”

Section: Introductionmentioning

confidence: 99%

Prognostic potential of a voxelwise invasion risk map of nasopharyngeal carcinoma based on a coordinate system of the nasopharynx

Chen¹,

Li²,

Yang³

et al. 2023

Quant Imaging Med Surg

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Background: Tumor invasion risk (TIR) is an important prognostic factor in nasopharyngeal carcinoma (NPC). We propose a novel prognostic analytic method for NPC based on a voxelwise analysis of TIR in a coordinate system of the nasopharynx.Methods: A stable nasopharynx coordinate system was constructed based on anatomical landmarks to obtain an accurate TIR profile for NPC. The coordinate system was validated by image registration of the lateral pterygoid muscle (LPM). The tumors were registered to the coordinate system through shift, scale, and rotation transformations. The voxelwise TIR map for NPC was obtained by superposition of all registered and mirrored tumor regions of interest. The minimum risk (MinR) point of the tumor region was used as an independent prognostic factor for NPC. The cutoff value was calculated with density plot and validated with restricted cubic splines (RCSs), and then the patients were divided into 2 groups for overall survival (OS) analysis. Results:The first voxelwise TIR map of NPC was obtained based on 778 patients. The OS of patients with a low TIR was 76.8% and was 92.6% for patients with a high TIR [P<0.001; hazard ratio (HR) =1/0.45; 95% CI: 0.27-0.77; adjusted P=0.004]. Thus, patients with a low TIR had a poor prognosis, whereas patients with a high TIR had a good prognosis. The MinR may be better at grading the prognosis of patients compared to the American Joint Committee on Cancer (AJCC) staging or tumor/node (T/N) classification systems. Conclusions:The voxelwise TIR map provides a new method for the prognostic analysis of NPC.Potential clinical applications of voxelwise TIR mapping are clinical target volume (CTV) delineation and dose-painting for NPC.

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Granular computing in model based abdominal organs detection

Juszczyk

Piętka

Pyciński

2015

Computerized Medical Imaging and Graphics

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Abdominal atlas mapping in CT and MR volume images using a normalized abdominal coordinate system

Cited by 3 publications

References 29 publications

Combination of a model-deformation method and a positional MRI to quantify the effects of posture on the anatomical structures of the trunk

Combination of a model-deformation method and a positional MRI to quantify the effects of posture on the anatomical structures of the trunk

Prognostic potential of a voxelwise invasion risk map of nasopharyngeal carcinoma based on a coordinate system of the nasopharynx

Granular computing in model based abdominal organs detection

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