Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Computed Tomography01:10

Computed Tomography

4.7K
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...
4.7K
Downsampling01:20

Downsampling

215
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
215
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

34
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...
34

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Microsurgical education without borders: Implementation of a low cost, reproducible global microsurgery course.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS·2026
Same author

Corrigendum to 'Immunogenicity and safety of Biological E's CORBEVAX™ vaccine as a heterologous booster dose in adult volunteers previously vaccinated with two doses of either COVISHIELD™ or COVAXIN: A Prospective double-blind randomised phase III clinical study' [IJID Regions, volume 17 (2025) 100786].

IJID regions·2026
Same author

Bioactive human placental ECM hydrogels crosslinked with tannic acid enhance stability and antioxidant properties for diabetic wound healing.

Colloids and surfaces. B, Biointerfaces·2026
Same author

Transfer Learning in Bone Scintigraphy: Superior to Early-career Readers and Comparable to Experts in Classifying Skeletal Metastasis.

Nuclear medicine and molecular imaging·2025
Same author

Immunogenicity and safety of Biological E's CORBEVAX™ vaccine as a heterologous booster dose in adult volunteers previously vaccinated with two doses of either COVISHIELD™ or COVAXIN: A prospective double-blind randomized phase III clinical study.

IJID regions·2025
Same author

Dynamic Salivary Gland Scintigraphy: Establishing Normative Data through a Healthy Cohort.

Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India·2025
Same journal

Is Terbium-161 the Next Lutetium-177? A New Era for Theranostics on the Horizon.

Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India·2025
Same journal

Brown fat FDG Uptake - A Common Finding in FDG PET CT Scan and the Relation to Demographic, Environmental, and Clinical Factors.

Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India·2025
Same journal

Rare Presentation of Mandibular Metastases from Differentiated Thyroid Carcinoma: A Case Series - Experience from a Single Tertiary Care Hospital.

Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India·2025
Same journal

Gastric Adenocarcinoma with Bone Marrow Metastasis.

Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India·2025
Same journal

PET/CT-Guided Biopsy in Necrotic Lung Mass: A Diagnostic Breakthrough.

Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India·2025
Same journal

Impact of Collimator Material on Spatial Resolution and Sensitivity in Semiconductor-Based Imaging Systems: A Monte Carlo Evaluation.

Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India·2025
See all related articles

Related Experiment Video

Updated: Aug 9, 2025

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

7.8K

Renal Dynamic Image Compression using Singular Value Decomposition.

Jagrati Chaudhary1, Anil Kumar Pandey1, Param Dev Sharma2

  • 1Department of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India.

Indian Journal of Nuclear Medicine : IJNM : the Official Journal of the Society of Nuclear Medicine, India
|February 23, 2023
PubMed
Summary
This summary is machine-generated.

Singular value decomposition (SVD) effectively compresses renal dynamic (RD) study images. Compressed images were visually identical to originals, with no significant difference in diagnostic accuracy, making SVD a viable compression technique.

Keywords:
Image compressionrenal dynamic studysingular value decomposition

More Related Videos

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
11:13

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging

Published on: May 24, 2021

6.5K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.7K

Related Experiment Videos

Last Updated: Aug 9, 2025

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

7.8K
Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
11:13

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging

Published on: May 24, 2021

6.5K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.7K

Area of Science:

  • Medical Imaging
  • Image Processing
  • Nuclear Medicine

Background:

  • Renal dynamic (RD) studies are crucial in nuclear medicine for assessing kidney function.
  • Image compression techniques are needed to manage large datasets generated by these studies.
  • Singular value decomposition (SVD) is a potential method for image compression.

Purpose of the Study:

  • To evaluate the effectiveness of Singular Value Decomposition (SVD) for compressing renal dynamic (RD) study images.
  • To assess the impact of SVD compression on image quality and diagnostic accuracy.

Main Methods:

  • 4600 RD study images from 50 studies were compressed using SVD.
  • Nuclear Medicine physicians visually compared compressed and original images.
  • Objective image quality metrics (Error, SSIM, Brightness, Contrast, CPP, Blur) were calculated.
  • Split renal function and ROI counts were compared between original and compressed images.

Main Results:

  • Nuclear Medicine physicians found compressed images visually identical to original RD study images.
  • Objective assessments showed compressed images were brighter and less noisy with better contrast per pixel (CPP).
  • There were no significant differences in split renal function or ROI counts between original and compressed images.

Conclusions:

  • SVD is a suitable technique for compressing RD study images without compromising diagnostic quality.
  • Visual assessment by physicians confirmed the identity between original and compressed images.
  • SVD achieved up to 58% compression with a computation time of approximately 0.12 seconds per frame.