A novel 3D shape context method based strain analysis on a rat stomach model

Liao, Donghua; Zhao, Jingbo; Gregersen, Hans

doi:10.1016/j.jbiomech.2012.04.016

Cited by 9 publications

(7 citation statements)

References 36 publications

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“…The biomechanical parameters strain and stress (tension) were calculated from the deformable registration of two inner surfaces of two consecutive deflation step volumes together with pressure changes; in this study we limited the analysis to the two lowest distension volumes (0 and 50 ml) for each patient (although the smallest distension volume is referred to as 0 ml, the volume of the tube is already passed into the rectum). For each subject, the smallest distension volume was considered as reference, and registrations between the reference and the deformed volumes were computed using a 3D shape context method based on non-rigid image registration with full-field strain analysis [25]. The thickness of the rectal wall 140 was obtained as the Euclidean distance between matched surface points from the inner and outer walls.…”

Section: Methodsmentioning

confidence: 99%

An image-based method to quantify biomechanical properties of the rectum in radiotherapy of prostate cancer

et al. 2015

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Gastrointestinal morbidity after radiotherapy (RT) for prostate cancer may be related to the biomechanical properties of the rectum. In this study we present a magnetic resonance imaging (MRI)-based method to quantitate the thickness and elasticity of the rectal wall in prostate cancer patients treated with RT. Material and methods. Four patients previously treated with RT for prostate cancer underwent an MRI session with stepwise rectal bag deflation (from a maximum tolerable volume to 0 ml, in 50 ml steps), with a probe inserted inside the bag to monitor the internal rectal pressure. MRIs were acquired using Dixon sequences (4 mm axial slice thickness) at each deflation step. Rectal walls were defined from the recto-sigmoid junction to 3 cm above the anal canal as the space between the inner and outer wall surfaces. The wall thickness was determined and biomechanical properties (strain and stress) were calculated from the pressure measurements and the MRI-segmented rectal walls. results. The integral rectal pressure varied for the maximum tolerable volume (range 150-250 ml) across patients and ranged from 1.3 to 4.0 kPa (SD  1.2 kPa). Wall thickness was found to vary between patients and also across different rectum segments, with a mean (SD) thickness for the different segments at the 50 ml distension volume of 1.8-4.0 (0.6) mm. Stress showed larger variation than strain, with mean (SD) values for the different segments ranging between 1.5 and 7.0 (1.5) kPa. conclusion. We have developed a method to quantify biomechanical properties of the rectal wall. The resulting rectal wall thickness, strain and stress differed between patients, as well as across different rectal wall sections. These findings could provide guidance in future predictive outcome modelling in order to better understand the rectal dose-volume response relationship.

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Section: Methodsmentioning

confidence: 99%

An image-based method to quantify biomechanical properties of the rectum in radiotherapy of prostate cancer

et al. 2015

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“…The rat stomach was selected because, in our recent study, the 3D SC method combined with a full-field strain analysis method was introduced, and full-field strain analysis on a rat gastric model with distension pressures from 0.1 kPa to 0.8 kPa was obtained. We are hereby using DIC measurement to validate the 3D SC method described in our previous study [9].…”

Section: Methodsmentioning

confidence: 99%

“…The shape context (SC) is a shape descriptor that for a single surface captures the distribution of points over relative positions of the global shape points. In our recent study, we have extended the 2D SC to 3D and have developed the 3D SC by a combination to a 3D full-field surface strain calculation [9]. Details about SC method are described in Appendices A and B.…”

Section: Sc Method-based Calculationsmentioning

confidence: 99%

“…The configuration of these two cameras was obtained by a calibration process with the aid of a calibration object. 3D DIC system measures the complete 3D surface displacement Journal of Computational Medicine 3 fields on curved or planar specimens, with accuracy on the order of ±0.01 pixels for the in-plane components and /50000 in the out-of-plane component, where is the distance from the object to the camera [9,12]. In the present study, two cameras with 50 mm lenses and a resolution of 2048 × 2048 pixel2 were used to capture pairs of images at each distension pressure.…”

Section: Experimental Setup Andmentioning

confidence: 99%

“…Studies on lung and cortical surfaces demonstrated that the SC matching approach-based nonlinear registration method is a well-suited method for a variety of soft tissue organ surfaces [1,[3][4][5][6][7][8]. Recently we developed a 3D SC-based nonlinear image registration by combining the image registration method with a full-field strain (strain distribution on a whole 3D surface) analysis for calculation of distensioninduced rat stomach deformation [9]. Our study showed the dependency of the surface deformation estimation on the surface matching quality.…”

Section: Introductionmentioning

confidence: 99%

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Validation of Shape Context Based Image Registration Method Using Digital Image Correlation Measurement on a Rat Stomach

Liao

Wang

Zhao

et al. 2014

Journal of Computational Medicine

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Recently we developed analysis for 3D visceral organ deformation by combining the shape context (SC) method with a full-field strain (strain distribution on a whole 3D surface) analysis for calculating distension-induced rat stomach deformation. The surface deformation detected by the SC method needs to be further verified by using a feature tracking measurement. Hence, the aim of this study was to verify the SC method-based calculation by using digital image correlation (DIC) measurement on a rat stomach. The rat stomach exposed to distension pressures 0.0, 0.2, 0.4, and 0.6 kPa were studied using both 3D DIC system and SC-based image registration calculation. Three different surface sample counts between the reference and the target surfaces were used to gauge the effect of the surface sample counts on the calculation. Each pair of the surface points between the DIC measured target surface and the SC calculated correspondence surface was compared. Compared with DIC measurement, the SC calculated surface had errors from 5% to 23% at pressures from 0.2 to 0.6 kPa with different surface sample counts between the reference surface and the target surface. This indicates good qualitative and quantitative agreement on the surfaces with small dissimilarity and small sample count difference between the reference surface and the target surface. In conclusion, this is the first study to validate the 3D SC-based image registration method by using unique tracking features measurement. The developed method can be used in the future for analysing scientific and clinical data of visceral organ geometry and biomechanical properties in health and disease.

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An Experimental Study of Intraluminal Hyperpressure Reproducing a Gastric Leak Following a Sleeve Gastrectomy

et al. 2019

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A novel 3D shape context method based strain analysis on a rat stomach model

Cited by 9 publications

References 36 publications

An image-based method to quantify biomechanical properties of the rectum in radiotherapy of prostate cancer

An image-based method to quantify biomechanical properties of the rectum in radiotherapy of prostate cancer

Validation of Shape Context Based Image Registration Method Using Digital Image Correlation Measurement on a Rat Stomach

An Experimental Study of Intraluminal Hyperpressure Reproducing a Gastric Leak Following a Sleeve Gastrectomy

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