# ALGORITHMS AND PROCESSING ARCHITECTURES FOR TOMOGRAPHY

> **NIH NIH R01** · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · 1988 · $217,206

## Abstract

The principal aim of this research proposal is to continue the
analytical work that has been initiated on the characteristics of
iterative image reconstruction algorithms for tomography and to
apply the results of the research to the design and implementation
algorithms that provide significant improvements in image quality
over the customary filtered backprojection methods used
currently.

By having studied the unmodified MLE algorithm in detail, we
have attained a substantial degree of understanding of what the
role of target functions to be maximized or minimized is in
iterative schemes.  In particular, we have discovered the need for
a stopping rule to prevent the iterative process to proceed into a
region of solutions that are in contradiction with the fundamental
Poisson nature of projection data and we have proposed such a
rule.  We now propose to continue analytical research of a similar
nature with other algorithms that are being considered for
iterative reconstruction with the aim of building a base of
knowledge from which we can design new target functions and
their algorithms to make the best use of the projection data with
highest statistical significance.

We also propose carrying out an ROC test of the new algorithms
in collaboration with the Dept. of Radiological Sciences, UCLA,
for the purpose of proving the value of the new algorithms.

As a long range objective, we intend to bring into the algorithms
design process the knowledge of the developing field of perception
of Psychophysics as a way to insure that future developments in
algorithms are not longer based on more or less successful
intuitive ideas of what a radiologist should perceive when
observing a medical tomographic image.

## Key facts

- **NIH application ID:** 3178547
- **Project number:** 2R01CA039501-03
- **Recipient organization:** UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB
- **SAM.gov UEI:** ENBLDJUN4N73
- **Principal Investigator:** JORGE LLACER
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 1988
- **Award amount:** $217,206
- **Award type:** 2
- **Project period:** 1986-05-01 → 1991-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/3178547

## Citation

> US National Institutes of Health, RePORTER application 3178547, ALGORITHMS AND PROCESSING ARCHITECTURES FOR TOMOGRAPHY (2R01CA039501-03). Retrieved via MORVS 2026-10-25 from https://api.morvs.ai/grant/nih/3178547. Licensed CC0.

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