20.7.2.1 Lung Motion Analysis, Respiration, Breathing

Chapter Contents (Back)
Lungs. Motion.

Crawford, C.R., King, K.F., Ritchie, C.J., Godwin, J.D.,
Respiratory compensation in projection imaging using a magnification and displacement model,
MedImg(15), No. 3, June 1996, pp. 327-332.
IEEE Top Reference. 0203
BibRef

Dawood, M., Lang, N., Jiang, X., Schafers, K.P.,
Lung Motion Correction on Respiratory Gated 3-D PET/CT Images,
MedImg(25), No. 4, April 2006, pp. 476-485.
IEEE DOI 0604
BibRef

Dawood, M., Buther, F., Jiang, X., Schafers, K.P.,
Respiratory Motion Correction in 3-D PET Data With Advanced Optical Flow Algorithms,
MedImg(27), No. 8, August 2008, pp. 1164-1175.
IEEE DOI 0808
BibRef

Dawood, M., Buther, F., Lang, N., Jiang, X., Schafers, K.P.,
Transforming Static CT in Gated PET/CT Studies to Multiple Respiratory Phases,
ICPR06(I: 1026-1029).
IEEE DOI 0609
BibRef

Ue, H., Haneishi, H., Iwanaga, H., Suga, K.,
Nonlinear Motion Correction of Respiratory-Gated Lung SPECT Images,
MedImg(25), No. 4, April 2006, pp. 486-495.
IEEE DOI 0604
BibRef

Zeng, R., Fessler, J.A., Balter, J.M.,
Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration,
MedImg(26), No. 2, February 2007, pp. 153-163.
IEEE DOI 0702
BibRef

Sarrut, D., Delhay, S., Villard, P.F., Boldea, V., Beuve, M., Clarysse, P.,
A Comparison Framework for Breathing Motion Estimation Methods From 4-D Imaging,
MedImg(26), No. 12, December 2007, pp. 1636-1648.
IEEE DOI 0712
BibRef

Ehrhardt, J.[Jan], Werner, R., Schmidt-Richberg, A.[Alexander], Handels, H.[Heinz],
Statistical Modeling of 4D Respiratory Lung Motion Using Diffeomorphic Image Registration,
MedImg(30), No. 2, February 2011, pp. 251-265.
IEEE DOI 1102
BibRef
Earlier: A1, A3, A4:
A Variational Approach for Combined Segmentation and Estimation of Respiratory Motion in Temporal Image Sequences,
MMBIA07(1-7).
IEEE DOI 0710
BibRef

Schmidt-Richberg, A.[Alexander], Ehrhardt, J.[Jan], Werner, R.[René], Handels, H.[Heinz],
Fast Explicit Diffusion for Registration with Direction-Dependent Regularization,
WBIR12(220-228).
Springer DOI 1208
BibRef

Kruger, J.[Julia], Ehrhardt, J.[Jan], Handels, H.[Heinz],
Probabilistic Appearance Models for Segmentation and Classification,
ICCV15(1698-1706)
IEEE DOI 1602
Adaptation models BibRef

Papiez, B.W.[Bartlomiej W.], McGowan, D.R.[Daniel R.], Skwarski, M.[Michael], Higgins, G.S.[Geoff S.], Schnabel, J.A.[Julia A.], Brady, M.[Michael],
Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation,
WBIR18(37-46).
Springer DOI 1806
BibRef

Ionescu, C.M., Tenreiro Machado, J.A., de Keyser, R.,
Analysis of the Respiratory Dynamics During Normal Breathing by Means of Pseudophase Plots and Pressure-Volume Loops,
SMCS(43), No. 1, January 2013, pp. 53-62.
IEEE DOI 1301
BibRef

Choi, S.W.[Seung-Wook], Chang, Y.J.[Yong-Jun], Kim, N.[Namkug], Park, S.H.[Sung Ho], Song, S.Y.[Si Yeol], Kang, H.S.[Heung Sik],
Performance enhancement of respiratory tumor motion prediction using adaptive support vector regression: Comparison with adaptive neural network method,
IJIST(24), No. 1, 2014, pp. 8-15.
DOI Link 1403
respiratory motion BibRef

Lv, H., Li, W., Li, Z., Zhang, Y., Jiao, T., Xue, H., Liu, M., Jing, X., Wang, J.,
Characterization and Identification of IR-UWB Respiratory-Motion Response of Trapped Victims,
GeoRS(52), No. 11, November 2014, pp. 7195-7204.
IEEE DOI 1407
Clutter BibRef

Nigmatullin, R.R., Ionescu, C., Baleanu, D.,
NIMRAD: novel technique for respiratory data treatment,
SIViP(8), No. 8, November 2014, pp. 1517-1532.
Springer DOI 1411
the non-invasive methods of the reduced analysis of data. BibRef

Fuerst, B., Mansi, T., Carnis, F., Salzle, M., Zhang, J., Declerck, J., Boettger, T., Bayouth, J., Navab, N., Kamen, A.,
Patient-Specific Biomechanical Model for the Prediction of Lung Motion From 4-D CT Images,
MedImg(34), No. 2, February 2015, pp. 599-607.
IEEE DOI 1502
Biological system modeling BibRef

Ahmed, B., Khan, H.M., Choi, J., Gutierrez-Osuna, R.,
ReBreathe: A Calibration Protocol that Improves Stress/Relax Classification by Relabeling Deep Breathing Relaxation Exercises,
AffCom(7), No. 2, April 2016, pp. 150-161.
IEEE DOI 1606
Biomedical monitoring BibRef

Procházka, A.[Aleš], Schätz, M.[Martin], Centonze, F.[Fabio], Kuchynka, J.[Jirí], Vyšata, O.[Oldrich], Vališ, M.[Martin],
Extraction of breathing features using MS Kinect for sleep stage detection,
SIViP(10), No. 7, October 2016, pp. 1279-1286.
Springer DOI 1609
BibRef

Rühaak, J., Polzin, T., Heldmann, S., Simpson, I.J.A., Handels, H., Modersitzki, J., Heinrich, M.P.,
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration,
MedImg(36), No. 8, August 2017, pp. 1746-1757.
IEEE DOI 1708
Computed tomography, Image edge detection, Jacobian matrices, Lungs, Optimization, Radio frequency, Robustness, COPD, Computed tomography, Jacobian determinant, Markov random fields, image registration, keypoints, lung BibRef

Fischer, P., Pohl, T., Faranesh, A., Maier, A., Hornegger, J.,
Unsupervised Learning for Robust Respiratory Signal Estimation From X-Ray Fluoroscopy,
MedImg(36), No. 4, April 2017, pp. 865-877.
IEEE DOI 1704
Correlation BibRef

Erden, F., Cetin, A.E.,
Period Estimation of an Almost Periodic Signal Using Persistent Homology With Application to Respiratory Rate Measurement,
SPLetters(24), No. 7, July 2017, pp. 958-962.
IEEE DOI 1706
Delays, Estimation, Harmonic analysis, Reliability, Sensor arrays, Topology, Periodicity, persistent homology, pyro-electric infrared (PIR) sensor, respiratory rate (RR), topological, data, analysis BibRef

Navest, R.J.M., Andreychenko, A., Lagendijk, J.J.W., van den Berg, C.A.T.,
Prospective Respiration Detection in Magnetic Resonance Imaging by a Non-Interfering Noise Navigator,
MedImg(37), No. 8, August 2018, pp. 1751-1760.
IEEE DOI 1808
Navigation, Thermal noise, Magnetic resonance imaging, Kalman filters, Noise measurement, Bellows, Tracking, Abdomen, tracking BibRef

Fischer, P., Faranesh, A., Pohl, T., Maier, A., Rogers, T., Ratnayaka, K., Lederman, R., Hornegger, J.[Joachim],
An MR-Based Model for Cardio-Respiratory Motion Compensation of Overlays in X-Ray Fluoroscopy,
MedImg(37), No. 1, January 2018, pp. 47-60.
IEEE DOI 1801
biological tissues, biomedical MRI, diagnostic radiography, electrocardiography, image registration, vessels BibRef

Khamene, A.[Ali], Schaller, C.[Christian], Hornegger, J.[Joachim], Celi, J.C.[Juan Carlos], Ofstad, B.[Barbara], Rietzel, E.[Eike], Li, X.A.[X. Allen], Tai, A.[An], Bayouth, J.E.[John E.],
A Novel Image Based Verification Method for Respiratory Motion Management in Radiation Therapy,
MMBIA07(1-7).
IEEE DOI 0710
BibRef

Chan, C., Onofrey, J., Jian, Y., Germino, M., Papademetris, X., Carson, R.E., Liu, C.,
Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PET,
MedImg(37), No. 2, February 2018, pp. 504-515.
IEEE DOI 1802
Biomedical imaging, Computed tomography, Dynamics, Image reconstruction, Logic gates, Radiology, positron emission tomography (PET) BibRef

Alinovi, D.[Davide],
Video Processing for Remote Respiration Monitoring,
ELCVIA(16), No. 2, 2017, pp. 9-12.
DOI Link 1804
BibRef

Loza, L.A., Kadlecek, S.J., Pourfathi, M., Hamedani, H., Duncan, I.F., Ruppert, K., Rizi, R.R.,
Quantification of Ventilation and Gas Uptake in Free-Breathing Mice With Hyperpolarized 129Xe MRI,
MedImg(38), No. 9, September 2019, pp. 2081-2091.
IEEE DOI 1909
Lung, Animals, Ventilation, Magnetic resonance imaging, Xenon, Genetic algorithms, Xe-129, MRI, lung, hyperpolarized, image acquisition BibRef

Ganfure, G.O.[Gaddisa Olani],
Using video stream for continuous monitoring of breathing rate for general setting,
SIViP(13), No. 7, October 2019, pp. 1395-1403.
WWW Link. 1911
BibRef


Serrano, E.E.D.[Eduardo Enrique Dávila], Dhelft, F.[François], Bitker, L.[Laurent], Richard, J.C.[Jean-Christophe], Orkisz, M.[Maciej],
Software for CT-image Analysis to Assist the Choice of Mechanical-ventilation Settings in Acute Respiratory Distress Syndrome,
ICCVG20(48-58).
Springer DOI 2009
BibRef

Lorato, I., Stuijk, S., Meftah, M., Verkruijsse, W., de Haan, G.,
Camera-Based On-Line Short Cessation of Breathing Detection,
CVPM19(1656-1663)
IEEE DOI 2004
Standards, Monitoring, Cameras, Skin, Pediatrics, Time-domain analysis, Respiration, Apnea detection, Video, Camera, cessation of breathing BibRef

Geimer, T.[Tobias], Keall, P.[Paul], Breininger, K.[Katharina], Caillet, V.[Vincent], Dunbar, M.[Michelle], Bert, C.[Christoph], Maier, A.[Andreas],
Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model,
GCPR18(583-594).
Springer DOI 1905
BibRef

Soleimani, V., Mirmehdi, M., Damen, D., Dodd, J.,
Markerless Active Trunk Shape Modelling for Motion Tolerant Remote Respiratory Assessment,
ICIP18(2077-2081)
IEEE DOI 1809
Shape, Feature extraction, Training, Static VAr compensators, Lung, Computational modeling, Volume measurement, spirometry BibRef

Meinich-Bache, Ř.[Řyvind], Engan, K.[Kjersti], Eftestřl, T.[Trygve], Austvoll, I.[Ivar], ;
Kinect Modelling of Chest Compressions: A Feasibility Study for Chest Compression Depth Measurement Using Digital Strategies,
ICIP18(913-917)
IEEE DOI 1809
BibRef
Earlier:
Detecting Chest Compression Depth Using a Smartphone Camera and Motion Segmentation,
SCIA17(II: 53-64).
Springer DOI 1706
Cameras, Wrist, Elbow, Motion measurement, Accelerometers, Real-time systems, Microsoft Kinect BibRef

Martinez, M.[Manuel], Stiefelhagen, R.[Rainer],
Breathing Rate Monitoring during Sleep from a Depth Camera under Real-Life Conditions,
WACV17(1168-1176)
IEEE DOI 1609
BibRef
Earlier:
Breath rate monitoring during sleep using near-ir imagery and PCA,
ICPR12(3472-3475).
WWW Link. 1302
Biomedical monitoring, Cameras, Monitoring, Sleep apnea, Temperature measurement, Trajectory BibRef

Rehouma, H., Noumeir, R., Jouvet, P., Bouachir, W., Essouri, S.,
A computer vision method for respiratory monitoring in intensive care environment using RGB-D cameras,
IPTA17(1-6)
IEEE DOI 1804
biomedical optical imaging, computer vision, image reconstruction, image sensors, medical image processing, Tidal volume BibRef

Makkapati, V.V.[Vishnu V.], Rambhatla, S.S.,
Remote monitoring of camera based respiration rate estimated by using occlusion of dot pattern,
ANTS16(1-5).
IEEE DOI BibRef 1600

Makkapati, V.V.[Vishnu V.], Raman, P.[Pujita], Pai, G.[Gautam],
Camera Based Respiration Rate of Neonates by Modeling Movement of Chest and Abdomen Region,
SPCOM16().
IEEE DOI 1612
BibRef

Yu, H.[Haobo], Ho, H.[Harvey], Bartlett, A.[Adam], Hunter, P.[Peter],
Modelling Respiration Induced Torso Deformation Using a Mesh Fitting Algorithm,
MCBMIIA16(II: 625-634).
Springer DOI 1704
BibRef

Tveit, D.M., Engan, K., Austvoll, I., Meinich-Bache, Ř.,
Motion based detection of respiration rate in infants using video,
ICIP16(1225-1229)
IEEE DOI 1610
Cameras BibRef

Xie, C.[Chao], Zhou, W.[Wengang], Ding, W.P.[Wei-Ping], Li, H.Q.[Hou-Qiang], Li, W.P.[Wei-Ping],
Respiration Motion State Estimation on 4D CT Rib Cage Images,
MMMod16(I: 818-828).
Springer DOI 1601
BibRef

Sundarapandian, M.[Manivannan], Kalpathi, R.[Ramakrishnan], Siochi, R.A.[R. Alfredo],
Respiratory motion prediction from CBCT image observations using UKF,
MVA15(559-562)
IEEE DOI 1507
Biological system modeling BibRef

Venkitaraman, A., Makkapati, V.V.[Vishnu V.],
Motion-Based Segmentation of Chest and Abdomen Region of Neonates from Videos,
ICAPR15(1-5)
IEEE DOI 1511
image motion analysis BibRef

McClelland, J.R.[Jamie R.], Champion, B.A.S.[Benjamin A. S.], Hawkes, D.J.[David J.],
Combining Image Registration, Respiratory Motion Modelling, and Motion Compensated Image Reconstruction,
WBIR14(103-113).
Springer DOI 1407
BibRef

Ma, Y.L.[Ying-Liang], King, A.P.[Andy P.], Gogin, N.[Nicolas], Gijsbers, G.[Geert], Rinaldi, C.A.[C. Aldo], Gill, J.[Jaswinder], Razavi, R.[Reza], Rhode, K.S.[Kawal S.],
Comparing Image-Based Respiratory Motion Correction Methods for Anatomical Roadmap Guided Cardiac Electrophysiology Procedures,
FIMH11(55-62).
Springer DOI 1105
BibRef

Bystrov, D., Vik, T., Schulz, H., Klinder, T., Schmidt, S.,
Local motion analysis in 4D lung CT using fast groupwise registration,
ICIP09(1749-1752).
IEEE DOI 0911
BibRef

Petitjean, C.[Caroline], Benoist, J.[Jonathan], Thiberville, L.[Luc], Salaün, M.[Mathieu], Heutte, L.[Laurent],
Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System,
MVA09(471-).
PDF File. 0905
BibRef

Yaying, L.[Lin], Yao, J.C.[Jian-Chao], Tan, Y.P.[Yap-Peng],
Respiratory rate estimation via simultaneously tracking and segmentation,
Biometrics10(170-177).
IEEE DOI 1006
BibRef

Lampo, T.[Tomas], Sierra, J.[Javier], Chang, C.[Carolina],
Two Algorithms for Measuring Human Breathing Rate Automatically,
ISVC09(II: 686-697).
Springer DOI 0911
BibRef

Yin, H.S.[Hong-Sheng], Zhang, P.[Pei], Qian, J.S.[Jian-Sheng], Hua, G.[Gang],
Feature Extraction and Recognition of Ventilator Vibration Signal Based on ICA/SVM,
CISP09(1-4).
IEEE DOI 0910
BibRef

Nakai, H., Ishihara, K., Miyake, Y., Watanabe, M.,
Non-restrictive Visual Respiration Monitoring,
ICPR00(Vol IV: 647-651).
IEEE DOI 0009
Visual monitoring of respiration BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Pneumonia, Lung Analysis, Flu, COVID .


Last update:Jul 11, 2021 at 20:18:24