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Magnetic resonance imaging based volume estimation of ovarian tumours: use of a segmentation and 3D reformation software
- Source :
- Computers in biology and medicine. 30(6)
- Publication Year :
- 2000
-
Abstract
- The application of a new segmentation software, Anatomatic in the evaluation of volumetric measurements of ovarian tumours and the new Medimag three-dimensional (3D) software in the evaluation of 3D image representation of ovarian tumours with 1.5 T magnetic resonance imaging (MRI) is described. Our goal was to compare MRI based volumetry with operative findings at laparotomy for six consecutive patients with suspected ovarian tumours. Volumetric analysis and three dimensional image reconstructions of the tumours were obtained. At laparotomy, the tumour sizes were measured in situ, and the volumes were calculated. Using Anatomatic, reproducible tumour volumes were achieved with ease and within a reasonably fast time in patients with ovarian tumours without ascites. Medimag helped achieve realistic 3D representations of the tumours. For the four solitary tumours segmentation based volumetry and laparotomy findings agreed in three cases. In one patient with an oval shaped tumour, the segmented volume was double as compared to that estimated at laparotomy. Of the two patients with multiple tumours, both patients had significant ascites, and volumetry misinterpreted the fluid as tumour cyst fluid and markedly overestimated the tumour size. In conclusion, the MRI based segmentation volumetry and 3D image reconstructions are rapid, and reproducible methods of measuring ovarian tumours in patients without significant ascites.
- Subjects :
- Adult
Multiple tumours
medicine.medical_treatment
Health Informatics
Volume estimation
Laparotomy
Ascites
medicine
Image Processing, Computer-Assisted
Humans
Cyst
Segmentation
Ovarian tumours
Aged
Ovarian Neoplasms
medicine.diagnostic_test
business.industry
Reproducibility of Results
Magnetic resonance imaging
Middle Aged
medicine.disease
Magnetic Resonance Imaging
Computer Science Applications
Female
medicine.symptom
business
Nuclear medicine
Software
Subjects
Details
- ISSN :
- 00104825
- Volume :
- 30
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- Computers in biology and medicine
- Accession number :
- edsair.doi.dedup.....10e6b6090e91b045e702746ed9f586b7